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Multi-Energy Flow Modeling and Optimization of Electric-Gas-Thermal Integrated Energy System LI Bingjie, YUAN Xiaoyun, SHI Jing, XU Huachi, LUO Zixuan Journal of Shanghai Jiao Tong University    2024, 58 (9): 1297-1308.   DOI: 10.16183/j.cnki.jsjtu.2022.494 Abstract （3444）   HTML （37）    PDF（pc） （8902KB）（491）       Knowledge map    Save In view of the fact that the conversion of various energy forms such as electricity, gas, and heat in the regional integrated energy system (RIES) seriously affects the economy of the system operation, a mathematical model and an optimization model of RIES energy flow are established to improve the economy of the system and the absorption of renewable energy. First, the mathematical models of all kinds of energy conversion equipment in the system are established to determine the constraints of three kinds of energy transmission networks, namely electricity, natural gas, and heat. Then, taking economic operation as the primary objective, and taking into account the objective function of low carbon emissions and increasing the uptake rate of renewable energy, the RIES multi-energy flow optimization model is constructed. Finally, based on the large-scale integrated energy system, the load side demand response is introduced and the simulation model is established. The simulation results show that the introduction of demand response improves the flexibility of system scheduling, reduces the dependence of the system on energy storage equipment, and effectively reduces the energy consumption cost of users. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Optimal Allocation of Electric-Thermal Hybrid Energy Storage for Seaport Integrated Energy System Considering Carbon Trading Mechanism LIN Sen, WEN Shuli, ZHU Miao, DAI Qun, YAN Lun, ZHAO Yao, YE Huili Journal of Shanghai Jiao Tong University    2024, 58 (9): 1344-1356.   DOI: 10.16183/j.cnki.jsjtu.2022.428 Abstract （2815）   HTML （8）    PDF（pc） （5125KB）（469）       Knowledge map    Save With the continuous increase of electrification in seaports, the single energy supply mode of seaport microgrid is evolving towards multi-energy integration. Aimed to achieve the goals of peak carbon and carbon neutrality, an optimal carbon trading mechanism-based allocation scheme of hybrid electric and thermal storage system is proposed to further maximize the economic and environmental benefits. First, the integrated energy system model of a seaport is established, incorporating a scheme within the carbon trading market. Then, a bi-level optimization framework is proposed, in which the upper layer is utilized to optimize the allocation of the hybrid energy storage system and the lower layer is employed to optimize the operation. Afterwards, a combination algorithm of the mesh adaptive direct search and the adaptive chaotic particle swarm optimization is developed to solve the proposed problem. Finally, the real-world data of Tianjing port is utilized to verify the method. The numerical results demonstrate that with the help of the proposed method, both the cost and carbon emissions are dramatically reduced. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Two-Stage Day-Ahead and Intra-Day Rolling Optimization Scheduling of Container Integrated Port Energy System ZHOU Siyi, YANG Huanhong, HUANG Wentao, ZHOU Ze, JIAO Wei, YANG Zhenyu Journal of Shanghai Jiao Tong University    2024, 58 (9): 1357-1369.   DOI: 10.16183/j.cnki.jsjtu.2023.016 Abstract （2466）   HTML （9）    PDF（pc） （7518KB）（471）       Knowledge map    Save In view of the fact that the current integrated port energy system (IPES) considers neither the time scale difference of refrigerated containers in port scheduling nor the impact of renewable energy and load uncertainty, this paper proposes a day-ahead and intra-day two-stage rolling optimization scheduling method for a container IPES. In day-ahead scheduling, based on the temperature rise process of refrigerated containers, a port cold chain energy demand model is established, which is combined with the logistics process after the arrival of refrigerated containers. Then, the day-ahead output values of each unit in the system are obtained with the goal of the lowest operating cost. In intra-day scheduling, a two-layer rolling model is proposed to obtain the adjusted output of the port energy equipment, which considers the prediction error of shore power load and renewable energy as well as the different response speeds of cooling, heating and power. The calculation results show that the collaborative optimization scheduling of refrigerated containers and the container IPES can effectively reduce the port operation cost and carbon emissions. The two-stage day-ahead and intra-day rolling optimization scheduling can improve the economy and stability of the system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Switching Modeling and Application in Fault Diagnosis Algorithm Testing of Distribution Network XUE Guiting, LIU Zhe, HAN Zhaoru, SHI Fang, WANG Ti, WANG Xiao Journal of Shanghai Jiao Tong University    2024, 58 (9): 1381-1389.   DOI: 10.16183/j.cnki.jsjtu.2023.129 Abstract （2391）   HTML （5）    PDF（pc） （4150KB）（182）       Knowledge map    Save Fault diagnosis in power distribution networks is crucial for fault location, enhancement of fault processing efficiency, and reduction of power outage losses. Currently, the impact of switch operations and other interferences is seldomly considered in fault diagnosis algorithm designing and testing, which may lead to frequent mal-function and poor performance in practical applications. In this paper, a detailed analysis and modeling of the transient process of switch operation in distribution networks is proposed with the combination of the Mayr and the Helmer models. The transient waveform of the on-site operation process is compared and analyzed with the simulation waveforms generated in PSCAD. Based on the accuracy verification of the model, typical fault scenarios in distribution networks, including switch operation processes, are constructed for fault diagnosis algorithm tests. Compared to the traditional model, the model proposed can simulate and generate disturbance data close to the on-site switch operation process for reliability testing of fault diagnosis algorithms. Finally, several suggestions for optimizing the fault diagnosis algorithm and testing process are proposed through result analysis. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Improved Transformer-PSO Short-Term Electricity Price Prediction Method Considering Multidimensional Influencing Factors SUN Xin, WANG Simin, XIE Jingdong, JIANG Hailin, WANG Sen Journal of Shanghai Jiao Tong University    2024, 58 (9): 1420-1431.   DOI: 10.16183/j.cnki.jsjtu.2023.065 Abstract （2387）   HTML （13）    PDF（pc） （3027KB）（415）       Knowledge map    Save With the construction of a diversified electricity market, the factors affecting electricity prices are gradually increasing, and the market environment has undergone more drastic changes. In order to improve the accuracy of short-term electricity price prediction, an improved Transformer-particle swarm optimization (PSO) short-term electricity price prediction method considering multiple factors affecting electricity prices is proposed. First, based on the consideration of historical electricity prices and historical loads, the relevant factors of electricity price formation are further analyzed. The autocorrelation function is used to analyze the multi-cycle characteristics of electricity price and adjust input sequence, which overcomes the problem of limited prediction accuracy caused by using historical data only and adjusting the input sequence by experience. Then, by combining long short-term memory (LSTM), self-attention mechanism, multi-layer attention mechanism, and adopting a multi-input structure, an improved Transformer model is established to further enhance the ability of the LSTM model to capture long short-term dependencies between different time step information, to overcome the information utilization bottleneck of LSTM, and to adapt to complex multiple sequence inputs including historical electricity prices and various electricity price causes. In addition, the PSO intelligent algorithm is utilized to search for the optimal learning rate of the model at different learning stages, overcoming the limitations of manually adjusting the learning rate. Finally, the PJM market electricity price is used for example analysis. The results show that the proposed short-term electricity price prediction model can be applied to the market environment where electricity prices are affected by various factors and drastic changes, and effectively improve the accuracy of short-term electricity price prediction. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Dispatching Method of Combined Wind-Storage System for Multi-Time Scale Scenarios Application in Electricity Markets YIN Gaowen, SHEN Feifan, HUANG Sheng, WEI Juan, QU Yinpeng, WANG Pengda Journal of Shanghai Jiao Tong University    2024, 58 (9): 1410-1419.   DOI: 10.16183/j.cnki.jsjtu.2022.493 Abstract （2331）   HTML （12）    PDF（pc） （2736KB）（337）       Knowledge map    Save Aimed at the coupling problem of the combined wind-storage system participating in different call time scale scenarios in electricity markets, an optimal dispatching method of the combined wind-storage system oriented to the application of multi-time scale scenarios in electricity markets is proposed to guide the combined wind-storage system to suppress short-term wind power fluctuation, and participate in the electric energy market and the reserve ancillary service market, so as to realize the collaborative optimization among different call time scale scenarios application and maximize the economic benefits of the combined wind-storage system. First, considering the profit mechanism of different scenarios, the objective function is established with the objective of maximizing the economic benefits of multiple scenarios of the combined wind-storage system. Then, the constraints of the combined wind-storage system participating in various application scenarios and multi call time scale coupling constraints are established. Finally, the numerical simulation verifies that the proposed method can improve the comprehensive operation profit of the combined wind-storage system in the day-ahead electric energy market and the reserve ancillary service market while ensuring that the wind power fluctuation does not exceed the limit. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Hydrodynamic Performance of a Barge-Type Floating Offshore Wind Turbine with Moonpool CHEN Yiren, YAO Jinyu, LI Mingxuan, ZHANG Xinshu Journal of Shanghai Jiao Tong University    2024, 58 (7): 965-982.   DOI: 10.16183/j.cnki.jsjtu.2022.521 Abstract （2215）   HTML （15）    PDF（pc） （11548KB）（501）       Knowledge map    Save The hydrodynamic performance of a barge-type floating offshore wind turbine (FOWT) with a moonpool is studied in frequency domain with reference to the Ideol-Floatgen design. The correction of the viscous damping of the moonpool is considered. First, the resonance modes of the moonpool are analyzed. Then, the hydrodynamic coefficients of the FOWT under regular waves and the motion responses under irregular waves are investigated. Finally, the safety of the FOWT is verified with respect to the DNV standards. The results show that the dynamic pitch and nacelle acceleration of the barge-type FOWT meet the safety requirements under both operating and survival conditions. The investigation of the coupling effects of the platform motion and the moonpool resonance shows that the motion of the platform will cause the shift of the piston mode frequency of the moonpool and the reduction of the piston mode response amplitude, the frequency of the sloshing mode is basically unaffected, but the response amplitude of the first-order sloshing mode is increased. The motion responses of the barge-type FOWT with and without the moonpool are compared. It is found that the moonpool can reduce the motion response of the FOWT, and improve the overall hydrodynamic performance of the FOWT. The platform length, moonpool length and platform draught are parametrically analyzed. Surge, heave, pitch response RMS values and the nacelle acceleration response RMS value are used as the indicators of comparison. It is found that the increase of the platform length could effectively reduce the four response RMS values of the FOWT under both operating and survival conditions, the increase of the moonpool length will reduce the four response RMS values of the FOWT under the operating condition, and the increase of the platform draught could significantly reduce the four response RMS values of the FOWT under the survival condition, the heave and pitch response RMS values increase with the augmentation of the draught under the operating condition. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review of High Voltage Ride-Through Control Method of Large-Scale Wind Farm WEI Juan, LI Canbing, HUANG Sheng, CHEN Sijie, GE Rui, SHEN Feifan, WEI Lai Journal of Shanghai Jiao Tong University    2024, 58 (6): 783-797.   DOI: 10.16183/j.cnki.jsjtu.2022.416 Abstract （2158）   HTML （16）    PDF（pc） （1884KB）（600）       Knowledge map    Save As the major demand for the development and utilization of new energy, the large-scale development of wind power is a key support in achieving the strategic goal of “cabron peaking and carbon neutrality” for China. The problem of safe and stable operation of wind farms caused by external grid faults has become one of the key bottlenecks restricting the large-scale, clustered, and intelligent development of wind power. This paper mainly focuses on the voltage surge condition of the power grid. First, it analyzes the transient characteristics of high voltage ride-through (HVRT) of the doubly-fed induction generator-wind turbine, permanent magnet synchronous generator-wind turbine, and wind farms. Then, it summarizes the corresponding HVRT and post-fault voltage recovery coordinated optimal control strategies based on the different control areas, and it classifies and compares the working principles and advantages and disadvantages of various control strategies. Afterwards, it recapitulates the principle, advantages and disadvantages, and effects of the existing HVRT control method for large-scale wind farms, and analyzes the differences between the single wind turbine and the large-scale wind farms from the perspective of control structure. Finally, it discusses the development trend and potential research hotspots of wind farm voltage intelligent safety control in the future, aiming to provide reference for improving the large-scale application of wind power and the safe operation of power grids in China. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(2)

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Joint Economic Optimization of AGV Logistics Scheduling and Orderly Charging in a Low-Carbon Automated Terminal WANG Xuan, WANG Bao, CHEN Yanping, LIU Hong, MA Xiaohui Journal of Shanghai Jiao Tong University    2024, 58 (9): 1370-1380.   DOI: 10.16183/j.cnki.jsjtu.2023.027 Abstract （2132）   HTML （12）    PDF（pc） （3702KB）（635）       Knowledge map    Save To improve the current automated guided vehicle (AGV) charging strategy at automated terminals, which is not fully coordinated with the distributed power supply, a joint optimization method of AGV logistics scheduling and orderly charging is proposed. First, the synergetic relationship between AGV logistics scheduling and charging scheduling is analyzed, and a joint optimization framework is built. Then, a method to calculate the distance traveled by AGVs while considering the segregation requirements of trucks inside and outside the terminal is proposed. Afterwards, for the AGV charging module, the judgment conditions of AGV charging status and the pile selection method are defined. Furthermore, to minimize the cost of purchasing electricity at the terminal, a joint optimization model of logistics scheduling and orderly charging is constructed by considering time-of-use tariff, distributed power feed-in tariff, power balance constraint, state of charge constraint at the termination moment, upper and lower bound constraints of decision variables, and logistics scheduling constraint. Finally, a fast solution method based on improved particle swarm optimization algorithm is proposed, of which the effectiveness and economic efficiency are verified by an actual case of a terminal. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Degaussing Coil Deployment and Degaussing Current Optimization Strategy for Ship Partition Based on Tilted Correlation Screening TIAN Ye, YU Moduo, HUANG Wentao, TAI Nengling, NIU Lu Journal of Shanghai Jiao Tong University    2024, 58 (7): 1018-1026.   DOI: 10.16183/j.cnki.jsjtu.2022.417 Abstract （2099）   HTML （7）    PDF（pc） （3102KB）（305）       Knowledge map    Save In modern ship degaussing systems, degaussing windings are mainly distributed based on the shape of ship bulkhead, which is difficult to ensure the degaussing effect of magnetic induction intensity of unit winding of each degaussing winding. In order to solve this problem, this paper introduces a tilted correlation screening in high-dimensional variable filter, which splits and recombines the original coils, and re-divides the original degaussing sections, so as to improve the degaussing efficiency of each coil. Aiming at the problem of sparse parameter vectors and multiple collinearity in the calculation of degaussing current after winding restructuring, this paper proposes a slant correlation screening and partial ridge regression algorithm. Through simulation, when the threshold is 0.73 and 0.91, the algorithm reduces 10.08% and 17.59% respectively compared with the least square method, while the residual root mean square error decreases by 10.45% and 12.17%. The simulation results show that the degaussing effect is significantly improved after the algorithm is adopted. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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PG-MACO Optimization Method for Ship Pipeline Layout LIN Yan, JIN Tingyu, YANG Yuchao Journal of Shanghai Jiao Tong University    2024, 58 (7): 1027-1035.   DOI: 10.16183/j.cnki.jsjtu.2022.508 Abstract （2047）   HTML （8）    PDF（pc） （3432KB）（202）       Knowledge map    Save Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, economy, coordination and operability, and the defects of ant colony optimization algorithm in dealing with mixed pipeline layout conditions are improved. A spatial state transition strategy for optimizing feasible solution search, a pheromone diffusion mechanism for improving pheromone inspiration effect and accelerating algorithm convergence are proposed, and a multi-ant colony co-evolution mechanism is designed for mixed pipeline layout conditions. Based on the secondary development technology, the application of this method in the third-party design software is realized, and verified by a nuclear primary pipeline layout project. The results show that the pheromone Gaussian diffusion multi ant colony optimization (PG-MACO) algorithm has a better performance and layout effect than the traditional ant colony algorithm. The routing efficiency is improved by 58.38%, the convergence algebra is shortened by 43.24%, the pipeline length is shortened by 33.88%, and the number of pipeline bends is reduced by 41.67%, which verifies the effectiveness and engineering practicability of the proposed method. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Robust Optimal Scheduling of Micro Energy Grid Considering Multi-Interval Uncertainty Set of Source-Load and Integrated Demand Response MI Yang, FU Qixin, ZHAO Haihui, MA Siyuan, WANG Yufei Journal of Shanghai Jiao Tong University    2024, 58 (9): 1323-1333.   DOI: 10.16183/j.cnki.jsjtu.2023.022 Abstract （1996）   HTML （7）    PDF（pc） （1898KB）（236）       Knowledge map    Save Aiming at the uncertainty of the source and load in micro energy grid, a robust optimal scheduling model considering multi-interval uncertainty set of source-load and integrated demand response is proposed. First, considering the uncertainty of wind power, photovoltaic output and electric, and thermal and cooling loads in the micro energy grid, a multi-interval uncertainty set of source-load is established. Then, in order to fully tap the potential of load side dispatching, an integrated demand response model is established, which includes reducible electric load, transferable electric load, flexible cooling, heating load, and replaceable load, based on which, the uncertainty of integrated demand response is considered. Afterwards, with the lowest dispatching cost of micro energy grid as the objective function, a two-stage robust optimal scheduling model of micro energy network is constructed, which considers the multi-interval uncertainty set of source load and the integrated demand response. The model is solved by the column and constraint generation algorithm, the strong duality theory, and the large M method. Finally, the rationality and effectiveness of the proposed model are verified through the analysis of numerical examples. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Pattern Recognition and Ultra-Short-Term Probabilistic Forecasting of Power Fluctuating in Aggregated Distributed Photovoltaics Clusters WANG Yubo, HAO Ling, XU Fei, CHEN Wenbin, ZHENG Libin, CHEN Lei, MIN Yong Journal of Shanghai Jiao Tong University    2024, 58 (9): 1334-1343.   DOI: 10.16183/j.cnki.jsjtu.2023.048 Abstract （1985）   HTML （6）    PDF（pc） （4167KB）（471）       Knowledge map    Save The quantitative evaluation of the uncertainty in distributed photovoltaic power is significant for the safe and stable operation of distribution network. Considering the significant differences in power characteristics of different output fluctuation patterns, in order to obtain a prediction model suitable for different fluctuation patterns and to perform a refined assessment of power uncertainty, this paper proposes a method for pattern recognition and ultra-short-term probabilistic forecasting of power fluctuating in aggregated distributed photovoltaic clusters. First, the satellite cloud images and photovoltaic power data are integrated, and the pattern recognition model of fluctuation is constructed via the feature extraction of power fluctuation, realizing the mining of fluctuation rules. On this basis, the difference in predictability of different fluctuation patterns and the correlation between fluctuation patterns and prediction errors are considered via classification modeling, so that the width of prediction interval can better adapt to the characteristics of prediction error distribution. Thus, refined consideration of power uncertainty of different fluctuation patterns is realized to improve the precision of probabilistic prediction, provide more references for power grid dispatching, and weaken the influence of the strong volatility in distributed photovoltaic power on the power system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Online Monitoring Method for Inertial Support Capacity of Point-to-Grid in New Power Systems DENG Xiaoyu, LIU Muyang, CHANG Xiqiang, NAN Dongliang, MO Ruo, CHEN Junru Journal of Shanghai Jiao Tong University    2024, 58 (9): 1390-1399.   DOI: 10.16183/j.cnki.jsjtu.2023.029 Abstract （1982）   HTML （9）    PDF（pc） （2472KB）（90）       Knowledge map    Save An accurate and timely monitoring for the inertia support capability of the point of interconnection of aggregated sources to the grid in a low-inertia new power system is crucial for the safety, stability, and economic operation of the system. In order to explain the basic idea of the online point-to-grid inertia monitoring method, the definition of inertia of power system based on the swing equation and existing online monitoring methods are analyzed. Then, in order to improve the accuracy of the existing online inertia monitoring method, an equivalent inertia constant identification method based on the regression method is developed. Combining the proposed inertia constant identification method with the online inertia monitoring method, a systematic method for online monitoring of the inertia support capacity of point-to-grid in new power system is developed based on synchronous phasor measurement units. Finally, the simulation analysis of a modified New England 10-machine 39-bus system proves the accuracy and the feasibility of the developed real-time inertia monitoring method for the new power system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Crashworthiness of.pngfened Plate Under Wedge Impact CHEN Hongting, ZHAO Yanjie, ZHOU Hongyu, WANG Deyu Journal of Shanghai Jiao Tong University    2024, 58 (7): 1057-1066.   DOI: 10.16183/j.cnki.jsjtu.2023.006 Abstract （1953）   HTML （7）    PDF（pc） （7115KB）（182）       Knowledge map    Save In order to predict the crashworthiness of.pngfened plate structures of ships under eccentric vertical quasi-static ballast of wedge, a new simplified analytical method is proposed in this paper. The plastic deformation area of the rectangular plate is divided into eight asymmetrical plates and the aggregate is divided into two asymmetrical parts. An linear mode is adopted in the deformation of rectangular plate and aggregate. From the perspective of the internal dynamics of ship collision, and based on the rigid-plastic theory, a simplified analytical method is deduced between the deformation damage resistance and lateral deformation of rectangular plate and aggregate under the eccentric vertical action of wedge impact, considering tensile and bending effects of the membrane. The proposed method is verified by the simulation results of nonlinear finite element software Abaqus. The results show that the proposed method has a high prediction accuracy, and can be used in the hull structure design stage to quickly predict the crashworthiness of the ship side structure. Table and Figures | Reference | Related Articles | Metrics | Comments（0） Cited: CSCD(1)

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Coordinate Scheduling Model of Electric Vehicle-Unmanned Aerial Vehicle Joint Rescue System BAI Wenchao, BAN Mingfei, SONG Meng, XIA Shiwei, LI Zhiyi, SONG Wenlong Journal of Shanghai Jiao Tong University    2024, 58 (9): 1443-1453.   DOI: 10.16183/j.cnki.jsjtu.2023.052 Abstract （1937）   HTML （10）    PDF（pc） （3151KB）（485）       Knowledge map    Save The rapid development of electric vehicles (EVs) and unmanned aerial vehicles (UAVs) provides new ways for personnel search and material distribution during emergency periods. This paper proposes an EV-UAV joint rescue system, in which the UAVs use the EVs as charging and maintenance base stations to provide various services for the objects to be rescued, and the EVs can use distributed generations to obtain diversified electricity supply, which improves the adaptability and endurance level of the system in emergencies. The coordinated scheduling model of the EV-UAV system is established in the mixed-integer linear programming (MILP) formulation, which considers factors including electricity consumption, electricity replenishment, loading capacity, distribution route, and distribution time window of the EVs and the UAVs. Case studies verify the validity of the model proposed, compare the EV-UAV and ground vehicle (GV)-UAV rescue systems, and illustrate the technical characteristics and application potential of the EV-UAV system in emergency assistance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Robust Optimal Scheduling of Agricultural Microgrid Combined with Irrigation System Under Uncertainty Conditions YANG Sen, GUO Ning, ZHANG Shouming Journal of Shanghai Jiao Tong University    2024, 58 (9): 1432-1442.   DOI: 10.16183/j.cnki.jsjtu.2023.035 Abstract （1914）   HTML （8）    PDF（pc） （2680KB）（133）       Knowledge map    Save Agricultural microgrids offer a promising solution for energy supply in remote rural areas in a low-cost manner. In this paper, under uncertain conditions of renewable energy output and electricity load demand, a robust optimal scheduling model combined with the isolated agricultural microgrid and irrigation system containing a pumped hydro storage (PHS) power station is proposed, considering the factors that the wind-landscape pumped storage integrated agricultural microgrid can satisfy the uncertain fluctuations of power load demand and water load demand. By utilizing the abundant water resources in rural areas and the advantages of landscape drainage and storage compensation, the total cost of the system is minimized while the absorption of renewable energy is increased. Considering distributed generation, power load demand and water load demand, turbine flow, and irrigation flow, the proposed model is characterized by diversity, multi-constraint, and discontinuity. A gravitational whale optimization algorithm (GWOA) is proposed to solve the model. The simulation results of an agricultural microgrid show that the GWOA can obtain a more competitive solution than the CPLEX solver and other newly developed algorithms do. In addition, the impact of the change of water load demand caused by precipitation uncertainty on the operating cost of the irrigation system and the necessity of using PHS power station are explored. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Cooperative Game Allocation Strategy for Wind-Solar-Pumped Storage-Hydrogen Multi-Stakeholder Energy System DUAN Jia’nan, XIE Jun, XING Shanxi Journal of Shanghai Jiao Tong University    2024, 58 (6): 872-880.   DOI: 10.16183/j.cnki.jsjtu.2022.531 Abstract （1864）   HTML （6）    PDF（pc） （1400KB）（279）       Knowledge map    Save To meet the construction demand of clean energy demonstration bases, a gain allocation strategy for the joint optimization operation of wind-solar-pumped storage-hydrogen multi-stakeholder energy system based on the cooperative game theory is proposed. In order to take into consideration the security of system operation, evaluation indicators for the complementarity of on-grid output are constructed. The stakeholders of wind, solar, pumped storage, and power-to-hydrogen cooperate through the internal electricity transaction to construct a joint scheduling model with the optimization goal of maximizing the operation benefits. Then, the minimum cost remaining saving (MCRS) method in the cooperative game theory is applied to allocate the synergistic benefits based on the scheduling results. The simulation results of a 12-stakeholder wind-solar-pumped storage-hydrogen clean energy demonstration base show that each stakeholder can derive positive gains through joint operation, and the reservoir capacity of pumped storage station, on-grid price and operation security demand will affect the cooperative synergistic benefits of the system. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Vibration Control of Semi-Submersible Offshore Wind Turbines Using Inerter-Based Absorbers ZENG Weijie, ZHANG Ying, DENG Yanfei, GUO Chuanrui, REN Weixin Journal of Shanghai Jiao Tong University    2024, 58 (7): 983-994.   DOI: 10.16183/j.cnki.jsjtu.2023.019 Abstract （1859）   HTML （11）    PDF（pc） （3460KB）（459）       Knowledge map    Save Compared with fixed offshore wind turbines, the vibration problem of floating offshore wind turbines is particularly prominent, and further reduction of the vibration of floating offshore wind turbines has become an engineering challenge. In order to solve this problem, a novel vibration suppression device, inerter-based absorber (IBA) is introduced, and the vibration control of semi-submersible offshore wind turbines is studied. A comprehensive optimization method, namely the structure-immittance approach, is utilized to design the IBA in a systematic way. In order to search for the optimum vibration suppression performance, a simplified dynamic model of the semi-submersible offshore wind turbine, and the IBA dynamic equations are established using D’Alembert’s principle. Simultaneous suppression of the vibration response of the floating platform and tower of a semi-submersible offshore wind turbine is realized using the dual IBA control strategy. Furthermore, by implementing the optimum IBA in the OpenFAST software, the vibration suppression benefits of the dual IBA compared with the dual tuned mass damper (TMD) are verified under the coupling effects of wind and waves. The results show that the vibration control performance of the dual IBA control strategy is significantly better than that of the single one, and that of the dual IBA is better than that of the dual TMD. In addition, under the condition of achieving the same suppression performance as the TMD, IBA installed at the nacelle and the platform can respectively decrease the required absorber mass by 23.9% and 32.2%, which can greatly reduce the manufacture cost of the device. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Shared Energy Storage Multi-Objective Allocation Strategy Considering Integrated Energy Microgrid Access to Active Distribution Network MI Yang, CHEN Yuyang, CHEN Boyang, HAN Yunhao, YUAN Minghan Journal of Shanghai Jiao Tong University    2024, 58 (9): 1309-1322.   DOI: 10.16183/j.cnki.jsjtu.2023.021 Abstract （1840）   HTML （14）    PDF（pc） （4556KB）（212）       Knowledge map    Save In order to give full play to the advantages of shared energy storage in improving economy and energy utilization, while considering the role of multi-energy complementation and coupling of integrated energy microgrids in active distribution networks, a multi-objective optimal allocation strategy of shared energy storage is proposed for the active distribution network connected with integrated energy microgrid. First, the optimization objectives of the economy and voltage stability of the distribution network and the configuration capacity of the shared energy storage are analyzed, the coordinated operation of the source-net-load side multi-flexible resources of the active distribution network is considered, and the active distribution network and the integrated energy microgrid are modeled. Then, the model is solved based on the Pareto optimal multi-objective particle swarm algorithm. Finally, the optimization algorithm of shared energy storage configuration is established in conjunction with the IEEE 33-node distribution system to verify the effectiveness of the proposed configuration strategy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）