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A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun Journal of Shanghai Jiao Tong University    2025, 59 (6): 746-757.   DOI: 10.16183/j.cnki.jsjtu.2023.382 Abstract （3295）   HTML （27）    PDF（pc） （6089KB）（3777）       Knowledge map    Save The electric power industry plays a pivotal role in carbon emission control. Accurate and real-time accounting of carbon emissions in the power industry is essential for supporting the carbon reduction of the power industry. At present, the measurement of carbon emissions in the power industry relies mainly on direct measurement or the accounting methods, which often struggles to balance low measurement costs with real-time accuracy. Therefore, in this paper, the robust power data infrastructure in the power industry is leveraged and the correlation between electricity consumption and carbon emissions is explored to propose a short-term electricity-to-carbon method using machine learning methods based on historical data of electricity. This method utilizes convolutional neural networks (CNNs) for feature extraction, and light gradient boosting machine (LightGBM) for carbon emission estimation based on extracted features. Moreover, K-fold cross-validation is used in model training, with parameter optimization using grid search to enhance the generalization capability and robustness of the model. To validate the proposed method, it is compared with other machine learning models under the same data segmentation condition for daily and hourly data sets. The results indicate that the proposed model outperforms other models in both performance evaluation and the consistency between estimated and target values. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Optimization Configuration of Battery Storage Coordinated with Differentiated Frequency Regulation Strategy of Wind, Solar, and Thermal Power CHENG Haowen, LI Kecheng, LIU Lu, CHENG Haozhong, SANG Bingyu Journal of Shanghai Jiao Tong University    2025, 59 (10): 1407-1418.   DOI: 10.16183/j.cnki.jsjtu.2024.334 Abstract （3132）   HTML （55）    PDF（pc） （2168KB）（562）       Knowledge map    Save Diversified frequency regulation resources are an effective and inevitable approach for addressing frequency safety issues in new power system. Based on a differentiated frequency regulation strategy that coordinates wind power, photovoltaic (PV), thermal power, and energy storage, this paper proposes a source-side battery energy storage system (BESS) optimization method under multiple scenarios by coupling long-term planning with short-term unit commitment. Joint frequency regulation strategies for thermal-storage, wind-storage, and PV-storage systems are developed, refining various functional roles of supporting battery storage to enhance flexibility during frequency regulation. The optimization configuration model aims to minimize both the investment and operational costs of wind-solar-thermal-storage systems. Frequency response capacity available from the power system is set as a security constraint, and high-order multi-machine time-domain simulations are used to verify and iterate frequency security margins in the solution process. The proposed method is validated using an improved IEEE 24-bus system. The results show that battery energy storage can flexibly switch between smoothing fluctuations, reducing renewable energy curtailment, and participating in system frequency regulation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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An Optimization Method for Iteration Path Search of Large-Scale Power Grid Unit Commitment State CUI Yiyang, PAN Dounan, LI Canbing, LIU Jianzhe Journal of Shanghai Jiao Tong University    2025, 59 (6): 711-719.   DOI: 10.16183/j.cnki.jsjtu.2024.301 Abstract （3084）   HTML （33）    PDF（pc） （1544KB）（451）       Knowledge map    Save To address the computational challenge posed by the “curse of dimensionality” inherent in traditional branch and bound algorithms for large-scale power grid unit commitment problems, an optimization method for iteration path search of unit commitment state is proposed. To prevent the loss of the optimal solution due to the simplification of the problem and the reduction of the feasible region, the determination of the unit state scheme is divided into a two-stage process of depth traverse and breadth iteration. Based on an initial solution, the unit dynamic priority list is used as the search direction for the unit state iteration path. In deep traverse stage, the optimal shutdown redundant units and their corresponding shutdown time are determined. Breadth iteration is then used to expand the feasible region of the problem to improve the optimality of the solution. The results of a comparative case study conducted on the IEEE 118 system and ACTIVSg10k system indicate that the proposed method effectively reduces the scale of the problem, minimizes the number of unit state attempts, and achieves efficient search and iteration of unit states, exhibiting fast computational speed, high efficiency, which has practical applicability for solving problems of large-scale unit commitment. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Optimization of Geometrical Parameters of Coandă-Effect-Based Polymetallic Nodule Collection Device ZHANG Baiyuan, ZHAO Guocheng, XIAO Longfei Journal of Shanghai Jiao Tong University    2025, 59 (8): 1059-1066.   DOI: 10.16183/j.cnki.jsjtu.2023.470 Abstract （3002）   HTML （38）    PDF（pc） （3985KB）（991）       Knowledge map    Save The collection of seabed ore particles is a core technology of exploiting deep sea mineral resources, with wall-attached jet collection technology based on Coandă-effect being considered as a nodule collection method with engineering application potential. Based on the experimentally verified CFD-DEM numerical simulation, the optimization of geometric parameters of the collection device is conducted to improve pick-up efficiency. The influences of three geometric parameters, i.e., the ratio of the curvature radius of the convex curved wall to the diameter of the nodule particle R/d, the tangential radian of the jet θ, and the ratio of the thickness of the jet to the diameter of the nodule b/d on the critical unconditional jet flow rate q0, are investigated and compared. The nodule collection characteristics are revealed through an analysis of the flow field characteristics. The results show that b/d has the greatest influence on the pick-up efficiency, followed by R/d, while θ has the least. The performance of nodule collection is optimal when R/d=9, θ=1.05 rad, and b/d=0.26 in contrast conditions. This research provides technical support for designing and developing the Coandă-effect-based collection devices. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Energy Interaction and Energy Storage Sharing Optimization Method for Users, Base Stations, and Charging Stations HU Long, FANG Baling, FAN Feilong, CHEN Dawei, LI Xinxi, ZENG Run Journal of Shanghai Jiao Tong University    2025, 59 (7): 877-888.   DOI: 10.16183/j.cnki.jsjtu.2023.407 Abstract （2856）   HTML （25）    PDF（pc） （5843KB）（724）       Knowledge map    Save The internal energy optimization within a single entity of industrial users, base stations, and charging stations is constrained by local power supply and demand limitations, resulting in low utilization of flexible resources such as energy storage and insufficient energy utilization efficiency. To address these issues, an energy sharing and interactive optimization method is proposed for industrial users, base stations, and charging stations based on the quantification of their complementarity and a game-based pricing incentive mechanism. First, a complementary quantification model is developed based on the analysis of the characteristics of industrial users, base stations, and charging stations, using the standard deviation of net load as a complementary indicator. Then, considering the adjustable capabilities of air conditioning and electric vehicles, as well as the proactive decision-making abilities of industrial users, charging stations, and base stations, a master-slave game-based pricing model is established to incentivize the sharing of energy storage and energy interaction among these entities. Next, incorporating 0-1 integer variables, a solution method utilizes the adaptive differential evolution algorithm combined with the mixed-integer optimization theory. Finally, case studies validate that optimizing the energy storage and energy dispatch of industrial users, base stations, and charging stations in different time periods can effectively leverage their complementarity, enhance the economic benefits of each entity, improve the utilization of idle flexible resources, and enhance the overall energy self-consistency of the system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Structural Dynamic Response of Offshore Horizontal Axis Wind Turbine Subjected to Wake-Induced Action ZHU Yiqing, WU Feng, ZHOU Dai, HAN Zhaolong, ZHUO Yang, ZHU Hongbo, ZHANG Kai Journal of Shanghai Jiao Tong University    2025, 59 (8): 1081-1091.   DOI: 10.16183/j.cnki.jsjtu.2023.476 Abstract （2802）   HTML （16）    PDF（pc） （12106KB）（672）       Knowledge map    Save The study of the dynamic response of a horizontal axis twin wind turbine in tandem arrangement is crucial for ensuring the structural safety of the wind turbine. Based on the computational fluid dynamics (CFD) method, the characteristics of the wake flow field of the downstream turbine, located in the near wake region of the upstream turbine, are analyzed. The time course curves of the aerodynamic loads on the twin turbines are obtained. Structural dynamics and finite element numerical methods are then used to analyze the wind-driven dynamic effects of the upstream and downstream turbine structures. It is found that the wake velocity deficit in the near wake region is significant, causing a reduction in thrust and torque of the downstream turbine by 54.94% and 91.89% respectively. Additionly, the wake turbulence increases cyclic fluctuation of aerodynamic load on the downstream turbine. While the aerodynamic load volatility has a small effect on the dynamic response of the downstream wind turbine, the overall dynamic response is weaker, and the displacement of the downstream wind turbine tower top in the thrust direction is reduced by 50.79%. The results provide technical references for the analysis of aerodynamic response of wind turbine cluster structures in offshore wind farms. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Structural Simulation Model Updating Based on Improved MCMC Algorithm and Surrogate Model MIAO Ji, DUAN Liping, LIU Jiming, LIN Siwei, ZHAO Jincheng Journal of Shanghai Jiao Tong University    2025, 59 (8): 1114-1122.   DOI: 10.16183/j.cnki.jsjtu.2023.584 Abstract （2774）   HTML （16）    PDF（pc） （9290KB）（835）       Knowledge map    Save To enhance the accuracy of finite element model simulation, a model updating method based on Bayesian theory is proposed, and the updating efficiency is improved by integrating improved Markov chain Monte Carlo (MCMC) algorithm and surrogate model. A radial basis function (RBF) surrogate model is constructed using the parameters to be updated as inputs and the finite element model modal responses as outputs. Whale optimization algorithm (WOA) is introduced into the MCMC algorithm and the uncertain parameters are updated. Finally, a numerical study on a simply supported beam and an experimental study on a three-story steel frame are conducted to verify the accuracy of the proposed method. The results show that WOA can significantly improve the stability and convergence speed of the MCMC algorithm, the updating efficiency can be improved by 13.9% at most, and the maximum frequency errors of the simply supported beam model and the three-story steel frame model updated by the WO-MH algorithm are 0.009% and 2.41%, respectively. The proposed model updating method can effectively enhance the simulation accuracy of the finite element model under both two-dimensional and eight-dimensional inputs, which provides technical reference for lean simulation and optimal design of building structures. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Experimental Study on Vortex-Induced Vibration Force Characteristics of Side-by-Side Double Free-Hanging Water Transmission Pipes Under Uniform Flow ZHAO Guangyi, ZHANG Mengmeng, FU Shixiao, XU Yuwang, REN Haojie, BAI Yingli Journal of Shanghai Jiao Tong University    2025, 59 (8): 1067-1080.   DOI: 10.16183/j.cnki.jsjtu.2023.539 Abstract （2763）   HTML （15）    PDF（pc） （32003KB）（968）       Knowledge map    Save This paper investigates vortex-induced vibration (VIV) characteristics of double free-hanging water transmission pipes, which are crucial for temperature difference energy harvesting platforms. Compared to a single pipe, double pipes could offer higher transport efficiency and cost-effectiveness. In this paper, model experiments were conducted to analyze VIV characteristics of the double free-hanging pipes and a method for identifying vortex-induced loads for large displacements and small deformations was proposed. A comparative analysis of the VIV characteristics of double free-hanging pipe and the single pipe was performed. The findings show that VIV displacement amplitudes of double free-hanging pipe are similar at low flow velocities but differ with those of single pipe at high velocities. The double free-hanging pipe is more prone to instability in VIV, including traveling waves and multi-frequency responses. The VIV frequencies of double free-hanging pipe can be predicted by the same Strouhal number as that of the single pipe. Additionally, a significant difference in the added mass coefficient affects natural wet frequency adjustment for VIV resonance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Mode Transition Control of Parallel Gas-Electric Hybrid Power System with Uncertain Delay FU Shenglai, CHEN Li, CHEN Ziqiang Journal of Shanghai Jiao Tong University    2025, 59 (9): 1225-1236.   DOI: 10.16183/j.cnki.jsjtu.2023.473 Abstract （2729）   HTML （19）    PDF（pc） （6267KB）（642）       Knowledge map    Save Parallel gas-electric hybrid systems have broad application prospects in low-carbon ships due to their few emissions and dynamic performance. However, uncertain delays in multiple actuators during mode transition can cause violent fluctuations in the shaft speed along the power drive. In this paper, a cascaded internal mode control (IMC) consisting of filters with explicit nominal delay is proposed to improve speed tracking performance and eliminate the effect of delay. A dynamic model of the marine driveline is developed, and the cascade IMC is designed based on the driveline mechanism with the clutch serving as the separating component. The cascade IMC consists of an anti-saturation compensator, a two-stage tracking controller, and a two-stage anti-interference controller. Finally, the small-gain theorem is derived to ensure robust stability conditions, taking the upper bound of the uncertain delays into consideration. The results of simulation and dynamometer test show that the cascaded IMC has excellent robustness in handling uncertain delays, significantly reduces shaft jerk, and ensures smooth mode transition. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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TSM-TLHS Prediction Method for Assembly Deformation of Large Curved Thin Plates in Shipbuilding JIN Xuancheng, HONG Ge, GAO Shuo, XIA Tangbin, HU Xiaofeng, XI Lifeng Journal of Shanghai Jiao Tong University    2025, 59 (8): 1092-1102.   DOI: 10.16183/j.cnki.jsjtu.2023.576 Abstract （2661）   HTML （11）    PDF（pc） （17433KB）（728）       Knowledge map    Save During the block assembly, large curved thin plates (such as outer plates) undergo deformation due to the force of gravity when they are placed on the jigs, which affects the accuracy and quality of the block assembly in shipbuilding. In order to predict the deformation of these large curved thin plates within a given jig layout, this paper introduces a Transformer-based surrogate model with two-stage Latin hypercube sampling (TSM-TLHS). Primarily, compared to traditional approaches, the two-stage Latin hypercube sampling (TLHS) method enables direct sampling of irregularly shaped thin plates. Simultaneously, this paper uses a Transformer-based surrogate model (TSM) incorporating multi-head attention modules and positional encoding to comprehensively consider the impact of jig positions and corresponding node displacements on thin plate deformation. Real case results demonstrate that the prediction error of this TSM-TLHS method is only 61 μm, meeting the on-site assembly precision requirements for predicting plate deformation. This facilitates timely anti-deformation compensation by block in shipyards, ensuring assembly quality. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Feature Extraction and Anomaly Identification Method for Power Customer Price in Power Market Enviroment ZHU Feng, SHAN Chao, WU Ning, CAI Qixin, ZHU Yunan, LIU Yunpeng, ZUO Qiang Journal of Shanghai Jiao Tong University    2025, 59 (7): 995-1006.   DOI: 10.16183/j.cnki.jsjtu.2023.448 Abstract （2654）   HTML （16）    PDF（pc） （2218KB）（722）       Knowledge map    Save Identifying electricity price anomalies and exploring the underlying reasons in such a complex market environment, especially with incomplete data, is a key issue for promoting the orderly operation of power market and ensuring the reasonable interests of power customers. Therefore, a method is established for feature extraction and anomaly identification of electricity prices for power customers. First, an electricity price feature vector is constructed, and its dimensionality is reduced using a spectral clustering algorithm. Then, typical electricity price characteristics are extracted as the basic standard for determining price anomalies. Next, the similarity between each power customer and typical electricity price characteristics is calculated. Finally, electricity price anomalies are identified in two stages. The causes of anomalies are initially and rapidly identified based on electricity consumption and trading behavior, and then further identified in-depth. Case analysis shows that this method can quickly and effectively extract typical electricity price features and identify anomalies. The reasons behind these anomalies are further analyzed from both electricity consumption and trading behaviors, and corresponding improvement measures are proposed. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Reactive Power-Voltage Droop Gain Online Tuning Method of Photovoltaic Inverters for Improvement of Stable Output Power Capability in Weak Grids WANG Yuyang, ZHANG Chen, ZHANG Yu, WANG Yiming, XU Po, CAI Xu Journal of Shanghai Jiao Tong University    2025, 59 (6): 845-856.   DOI: 10.16183/j.cnki.jsjtu.2023.353 Abstract （2645）   HTML （14）    PDF（pc） （7800KB）（2240）       Knowledge map    Save The active power output capability and small signal stability in weak grids are key factors that limit stable photovoltaic (PV) power generation. To improve stably generating PV power in weak grids, an adaptive control method for PV inverters based on online tuning of the reactive power-voltage (Q-V) droop gain is proposed. First, to ensure active power output capability in weak grids, a “first optimization” method for the Q-V droop gain is proposed, considering voltage and current constraints. Then, to address stability constraints in weak grids, impedance modeling and stability analysis of the PV inverter system are conducted. A mapping relationship between the “parameter-weakest pole” is established with the weakest pole of the closed-loop system as a stability constraint based on the artificial neural network. A “second adjustment” method for the Q-V droop gain is developed at stably generating active power. Combined with the extended Kalman-filter-based grid impedance estimation, the proposed Q-V droop gain adaptive tuning method is realized. The effectiveness of the proposed adaptive control method is validated on the Modeling Tech real-time simulation platform. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Automatic Mapping Method for Power Supply Units in Medium-Voltage Distribution Networks Based on Generative Adversarial Network CHEN Jinming, JIANG Wei, WANG Zhiwei, ZHU Zhenhan, CHEN Ye, ZHAO Yanchao Journal of Shanghai Jiao Tong University    2025, 59 (10): 1431-1441.   DOI: 10.16183/j.cnki.jsjtu.2023.626 Abstract （2603）   HTML （14）    PDF（pc） （2937KB）（429）       Knowledge map    Save With the gradual promotion of the “unit based” planning method for distribution networks, regional distribution networks have been divided into several relatively independent power supply units. However, there are multiple interconnecting lines within the power supply units, and the complexity of the structure makes the mapping of power supply units more difficult. The heuristic automated mapping methods based on rules and force orientation are inefficient and relies on manual intervention, which cannot adapt to the complex and changing distribution network application scenarios. Therefore, this paper proposes an automatic mapping method for medium-voltage distribution network power supply units based on the mean square error condition generation adversarial network. The layout generator and genetic mutation algorithm in this method can generate and optimize the layout and connection of distribution network nodes at a fine-grained level, achieving automatic mapping at various node scales. Then, it designs an evaluation function for node layout generators, which takes topology visualization performances such as node clustering degree, line crossing, and inflection points as key evaluation indicators. This function can be used to iteratively optimize the layout generator and thereby improve the mapping effect. The experimental results show that the method proposed outperforms other heuristic layout methods in terms of mapping effect. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Fault Diagnosis Method for Wind Turbines Based on Zero-Shot Learning PAN Meiqi, HE Xing Journal of Shanghai Jiao Tong University    2025, 59 (5): 561-568.   DOI: 10.16183/j.cnki.jsjtu.2023.375 Abstract （2584）   HTML （21）    PDF（pc） （1123KB）（1724）       Knowledge map    Save In engineering practice, wind turbine fault diagnosis encounters situations where the fault category in the training data is different from the actual one. To diagnose unknown wind turbine faults, it is necessary to transfer the fault feature information learned during training to the unknown fault category. Unlike traditional methods that directly establish mapping between fault samples and fault categories, a zero-shot learning (ZSL) method for wind turbine fault diagnosis based on fault attributes is proposed to enable fault feature migration. A fault attribute matrix is established by describing the attributes of each fault, which is embedded into the fault sample space and fault category space. Then, a fault attribute learner is developed based on convolutional neural network (CNN), and a fault classifier is established based on Euclidean distance, forming the diagnosis process where fault attributes are predicted from fault samples and then classified. Finally, the effectiveness and superiority of the proposed fault diagnosis method are validated by comparing it with other zero-shot learning methods. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Automatic Filling Optimization Design of Filler Bodies in Umbilical Cross-Section Based on Quasi-Physical Algorithm YIN Xu, CAO Donghui, TIAN Geng, YANG Zhixun, FAN Zhirui, WANG Gang, LU Yucheng, WANG Hui Journal of Shanghai Jiao Tong University    2025, 59 (8): 1103-1113.   DOI: 10.16183/j.cnki.jsjtu.2023.588 Abstract （2549）   HTML （21）    PDF（pc） （11198KB）（634）       Knowledge map    Save As a key component in the subsea production system for oil and gas exploitation, a marine umbilical consists of optical cables, electrical cables, steel tubes, and filler bodies. The difference of materials and dimensions between the components leads to a great difference in their mechanical properties, and the different layouts cause a large gap in the performance of an umbilical. Considering the compactness, balance, and heat source dispersion of the cross-section, a multi-objective optimization model is established in this paper. Based on the quasi-physical algorithm, the layout design of cross-section of an umbilical containing equal-diameter components is conducted. Due to the mutual constraints between functional components, the optimized cross-section will have large gap. In order to meet the requirement of dense cross-sectional layout in the umbilical cable design specification, a strategy for automatically filling filler bodies based on image recognition is introduced, in combination with the layout optimization process. Finally, taking an umbilical as an example, the filling strategy is utilized to complete the design of cross-sectional filler bodies after obtaining the optimal layout through the quasi-physical algorithm. The algorithm is validated by comparison with the initial cross-sectional layout, demonstrating its effectiveness as a reference for the design of cross-sectional filler bodies of umbilicals. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Unit Commitment Optimization Model Considering Impact of Multiple Operating Conditions on Unit Life Loss LUO Yifu, HU Qinran, QIAN Tao, CHEN Tao, ZHANG Yuanshi, ZHANG Fei, WANG Qi Journal of Shanghai Jiao Tong University    2025, 59 (6): 768-779.   DOI: 10.16183/j.cnki.jsjtu.2023.401 Abstract （2524）   HTML （12）    PDF（pc） （3746KB）（1255）       Knowledge map    Save Thermal power units face a dilemma of accelerated lifespan degradation and extended service duration. On one hand, large-scale integration of new energy sources has increased peak shaving conditions and accelerated losses of the units. On the other hand, service units will reach designed lifespan before carbon neutrality is achieved, while flexible operation of the power system necessitates extending their service life of units. Therefore, it is of great significance to consider the losses caused by varicus operating conditions on the lifespan of the unit and optimize the operating structure of the unit in scheduling simulation for unit longevity and carbon reduction efforts. To make unit life losses in theoretical research more practical, the traditional model that averages the losses in deep peak shaving conditions has been discarded. Instead, new judgment criteria for conventional and various special operating conditions of thermal power units are established. The lifespan loss cost of the unit is integrated into the operating objective function and the corresponding constraint conditions are modified. Finally, a unit commitment model considering the multi-operating condition lifespan losses of thermal power units is constructed. Example simulations indicate that the conventional model underestimates the actual loss cost of the units. In constrast, the proposed model can not only reduce the operating cost and unit life loss by considering the lifespan impacts of multi-operating conditions, but also enhance the peak shaving capacity of thermal power units and promote wind power consumption. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Low-Carbon Energy Management in Active Distribution Networks Based on Dynamic Carbon Entropy WU Dongge, CHANG Xinyue, XUE Yixun, HUANG Yuxi, SU Jia, LI Zening, SUN Hongbin Journal of Shanghai Jiao Tong University    2025, 59 (12): 1795-1804.   DOI: 10.16183/j.cnki.jsjtu.2024.262 Abstract （2518）   HTML （6）    PDF（pc） （4000KB）（372）       Knowledge map    Save In the context of energy transition and “carbon peak and carbon neutrality” goal, active distribution networks in the new power system can achieve scalable energy conservation and emissions reduction by increasing the penetration of renewable energy and leveraging demand-side management. To this end, a two-stage low-carbon energy management strategy for active distribution networks based on dynamic carbon entropy theory is proposed, using carbon price as a price signal to guide flexible loads in participating in low-carbon demand response. First, the carbon entropy model is analyzed, and a carbon entropy model considering energy storage is established to refine the carbon emission characteristics on the demand side. Then, an evaluation index of node carbon potential is proposed to evaluate the cleanliness of carbon emission of the system. Next, a two-stage low-carbon optimization scheduling model is developed for active distribution networks based on the dynamic carbon entropy. By utilizing the time-of-use electricity prices and node carbon prices as guiding signals, the model promotes the renewable energy consumption, reduces system carbon emissions, and achieves a certain peak-shaving and valley-filling effect. Finally, multiple scenarios are set up in the IEEE 33-node system to validate the effectiveness and superiority of the proposed low-carbon energy management model. The results show that the proposed strategy can achieve low-carbon energy management in active distribution networks. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Physics-Informed Fast Transient Stability Assessment of Non-Fixed Length in Power Systems LI Xiang, CHEN Siyuan, ZHANG Jun, KE Deping, GAO Jiemai, YANG Huanhuan Journal of Shanghai Jiao Tong University    2025, 59 (7): 962-970.   DOI: 10.16183/j.cnki.jsjtu.2023.452 Abstract （2473）   HTML （7）    PDF（pc） （1706KB）（1425）       Knowledge map    Save Against the backdrop of “dual carbon” goals, the construction of a new power system with new energy as the main component is the main direction and key way for the transformation and upgrading of the power industry. Research into fast and accurate evaluation of transient power angle stability in the context of new power systems is of great significance. To address this, a new transient power angle stability evaluation method is proposed for power systems with grid-forming new energy based on the physics-informed sequence-to-sequence (PI-seq2seq) neural networks and cascaded convolutional neural networks models. First, the PI-seq2seq network structure is used to predict the future power angle trajectory, and a loss function with physical loss terms is constructed to guide the model training process, which avoids the long-duration time-domain simulation to ensure fast transient evaluation. Then, predicted power angle trajectory is taken as input by the cascade convolutional neural networks to evaluate the transient stability and its confidence level. A threshold judgment mechanism for the evaluation confidence level is configured to realize the transient stability judgment of the non-fixed evaluation length, which overcomes the impact of the fixed power angle curve length on the evaluation results. Finally, the method proposed is verified in the Kundur system, and the simulation results show that it has obtained satisfactory results in both the power angle curve prediction and the stability evaluation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Control Strategy for Improving Active Frequency Support Capability of Offshore Wind Farm LI Yibo, ZHOU Qian, ZHU Dandan, JIANG Yafeng, WU Qiuwei, CHEN Jian Journal of Shanghai Jiao Tong University    2025, 59 (10): 1442-1450.   DOI: 10.16183/j.cnki.jsjtu.2023.581 Abstract （2452）   HTML （7）    PDF（pc） （1522KB）（2062）       Knowledge map    Save In low frequency alternating current (AC) transmission systems, offshore wind farm is unable to respond to changes in onshore grid frequency in a timely manner due to frequency decoupling and signal transmission delays between the offshore wind power system and the onshore AC system. To address this issue, a control strategy is proposed to improve the active frequency support capability of offshore wind farms by combining the system inertia. In terms of frequency signaling, an additional frequency sag controller is designed based on the V/f control strategy of the low-frequency-side structure network of modular multilevel matrix converter (M3C), combining with the system inertia. The frequency coupling link between the M3C net side and the low-frequency side is established to realize the real-time transmission of frequency information between the two sides. In terms of frequency support, when the system is disturbed to generate frequency deviation, the offshore wind turbine can adjust the power command value through additional droop control, thereby providing frequency support for the system. Finally, the effectiveness of the proposed coordinated control strategy is verified in MATLAB/Simulink by the simulation of load change and three-phase AC short circuit fault. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Oscillatory Stability Assessment of Renewable Power Systems Based on Frequency-Domain Modal Analysis GAO Lei, MA Junchao, LÜ Jing, LIU Jianing, WANG Chenxu, CAI Xu Journal of Shanghai Jiao Tong University    2025, 59 (6): 821-835.   DOI: 10.16183/j.cnki.jsjtu.2023.358 Abstract （2448）   HTML （10）    PDF（pc） （4521KB）（1379）       Knowledge map    Save The increasing penetration of the renewable energy has increased the risks of sub/super synchronous oscillations in power systems. Therefore, it is critical to accurately evaluate the oscillatory stability of renewable power systems ensuring the safe and stable operation of the systems. In this paper, a method for evaluating the oscillatory stability of renewable power systems based on frequency-domain modal analysis is investigated. First, the frequency-domain impedance or admittance models of key equipment and stations are established, including the renewable power generators and stations, transmission lines, synchronous generators, transformers, etc. Next, a system-level frequency-domain network model is constructed based on the actual system topology. Then, the oscillatory stability of the renewable power system is evaluated by solving the zeros of the determinant of the loop impedance matrix or the node admittance matrix of the system. The weak points of the system are identified using the participated matrix of the weak oscillation mode, which provides reference for implementation of oscillation suppression measures. Taking the practical renewable power system in East China as an example, the oscillatory stability of the system considering the varying access capacity of renewables under different grid operating conditions is assessed using the frequency-domain modal analysis method. Finally, the time-domain simulation model of the actual renewable power system is built in PSCAD/EMTDC to verify the theoretical analysis. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）