Journal of Shanghai Jiao Tong University ›› 2024, Vol. 58 ›› Issue (9): 1432-1442.doi: 10.16183/j.cnki.jsjtu.2023.035
• New Type Power System and the Integrated Energy • Previous Articles Next Articles
YANG Sen, GUO Ning, ZHANG Shouming()
Received:
2023-02-06
Revised:
2023-07-08
Accepted:
2023-07-11
Online:
2024-09-28
Published:
2024-10-11
CLC Number:
YANG Sen, GUO Ning, ZHANG Shouming. Robust Optimal Scheduling of Agricultural Microgrid Combined with Irrigation System Under Uncertainty Conditions[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1432-1442.
Tab.5
Operation cost of microgrid in two scenarios
场景 | 算法 | 弃风弃 光率/% | 弃风弃光 率均值/% | 最优 成本/元 | 最优成本 均值/元 |
---|---|---|---|---|---|
含PHS | WOA | 8.75 | 7.78 | 2272.9 | 2212.9 |
PSO | 8.58 | 7.78 | 2254.5 | 2212.9 | |
ABC | 8.16 | 7.78 | 2228.3 | 2212.9 | |
EWOA | 7.24 | 7.78 | 2188.5 | 2212.9 | |
IWOA | 7.15 | 7.78 | 2196.6 | 2212.9 | |
GWOA | 6.85 | 7.78 | 2136.6 | 2212.9 | |
不含PHS | WOA | 18.34 | 18.18 | 3564.9 | 3539.7 |
PSO | 20.56 | 18.18 | 3571.0 | 3539.7 | |
ABC | 17.98 | 18.18 | 3546.9 | 3539.7 | |
EWOA | 17.52 | 18.18 | 3528.4 | 3539.7 | |
IWOA | 17.41 | 18.18 | 3521.0 | 3539.7 | |
GWOA | 17.26 | 18.18 | 3506.2 | 3539.7 |
[1] | ISHRAQUE M F, SHEZAN S A, ALI M M, et al. Optimization of load dispatch strategies for an islanded microgrid connected with renewable energy sources[J]. Applied Energy, 2021, 292: 116879. |
[2] |
陆秋瑜, 于珍, 杨银国, 等. 考虑源荷功率不确定性的海上风力发电多微网两阶段优化调度[J]. 上海交通大学学报, 2022, 56(10): 1308-1316.
doi: 10.16183/j.cnki.jsjtu.2021.409 |
LU Qiuyu, YU Zhen, YANG Yinguo, et al. Two-stage optimal scheduling of offshore wind power generation in multi-microgrid considering source-load power uncertainty[J]. Journal of Shanghai Jiao Tong University, 2022, 56(10): 1308-1316. | |
[3] | ZHANG M Y, CHEN J J, YANG Z J, et al. Stochastic day-ahead scheduling of irrigation system integrated agricultural microgrid with pumped storage and uncertain wind power[J]. Energy, 2021, 237: 121638. |
[4] | 张丹, 王杰. 国内微电网项目建设及发展趋势研究[J]. 电网技术, 2016, 40(2): 451-458. |
ZHANG Dan, WANG Jie. Research on construction and development trend of micro-grid in China[J]. Power System Technology, 2016, 40(2): 451-458. | |
[5] |
潘险险, 陈霆威, 许志恒, 等. 适应多场景的微电网一体化柔性规划方法[J]. 上海交通大学学报, 2022, 56(12): 1598-1607.
doi: 10.16183/j.cnki.jsjtu.2021.402 |
PAN Xianxian, CHEN Tingwei, XU Zhiheng, et al. Flexible planning method for microgrid integration adapting to multiple scenarios[J]. Journal of Shanghai Jiao Tong University, 2022, 56(12): 1598-1607. | |
[6] | NNAJI E C, ADGIDZI D, DIOHA M O, et al. Modelling and management of smart microgrid for rural electrification in sub-saharan Africa: The case of Nigeria[J]. The Electricity Journal, 2019, 32(10): 106672. |
[7] | KAMAL M M, ASHRAF I, FERNANDEZ E. Optimal sizing of standalone rural microgrid for sustainable electrification with renewable energy resources[J]. Sustainable Cities & Society, 2023, 88: 104298. |
[8] | YUAN H Z, YE H H, CHEN Y T, et al. Research on the optimal configuration of photovoltaic and energy storage in rural microgrid[J]. Energy Reports, 2022, 8: 1285-1293. |
[9] | KAMAL M M, ASHRAF I, FERNANDEZ E. Planning and optimization of microgrid for rural electrification with integration of renewable energy resources[J]. Journal of Energy Storage, 2022, 52: 104782. |
[10] | JAVED M S, MA T, JURASZ J, et al. Solar and wind power generation systems with pumped hydro storage: Review and future perspectives[J]. Renewable Energy, 2020, 148: 176-192. |
[11] | WANG X X, VIRGUEZ E, XIAO W H, et al. Clustering and dispatching hydro, wind, and photovoltaic power resources with multiobjective optimization of power generation fluctuations: A case study in southwestern China[J]. Energy, 2019, 189: 116250. |
[12] | SHYAM B, KANAKASABAPATHY P. Feasibility of floating solar PV integrated pumped storage system for a grid-connected microgrid under static time of day tariff environment: A case study from India[J]. Renewable Energy, 2022, 192: 200-215. |
[13] | GHASEMI A, ENAYATZARE M. Optimal energy management of a renewable-based isolated microgrid with pumped-storage unit and demand response[J]. Renewable Energy, 2018, 123: 460-474. |
[14] | 荆朝霞, 胡荣兴, 袁灼新, 等. 含风/光/抽水蓄能并计及负荷响应的海岛微网优化配置[J]. 电力系统自动化, 2017, 41(1): 65-72. |
JING Zhaoxia, HU Rongxing, YUAN Zhuoxin, et al. Capacity configuration optimization for island microgrid with wind/solar/pumped storage considering demand response[J]. Automation of Electric Power Systems, 2017, 41(1): 65-72. | |
[15] | KHODAYAR M E. Rural electrification and expansion planning of off-grid microgrids[J]. The Electricity Journal, 2017, 30(4): 68-74. |
[16] | CHAOUACHI A, KAMEL R M, ANDOULSI R, et al. Multiobjective intelligent energy management for a microgrid[J]. IEEE Transactions on Industrial Electronics, 2013, 60(4): 1688-1699. |
[17] | CARDOSO G, STADLER M, SIDDIQUI A, et al. Microgrid reliability modeling and battery scheduling using stochastic linear programming[J]. Electric Power Systems Research, 2013, 103: 61-69. |
[18] | HONG M G, YU X Y, YU N P, et al. An energy scheduling algorithm supporting power quality management in commercial building microgrids[J]. IEEE Transactions on Smart Grid, 2016, 7(2): 1044-1056. |
[19] | HOSSAIN M A, POTA H R, SQUARTINI S, et al. Modified PSO algorithm for real-time energy management in grid-connected microgrids[J]. Renewable Energy, 2019, 136: 746-757. |
[20] | LEONORI S, PASCHERO M, FRATTALE MASCIOLI F M, et al. Optimization strategies for microgrid energy management systems by genetic algorithms[J]. Applied Soft Computing, 2020, 86: 105903. |
[21] | SAEED M H, WANG F Z, SALEM S, et al. Two-stage intelligent planning with improved artificial bee colony algorithm for a microgrid by considering the uncertainty of renewable sources[J]. Energy Reports, 2021, 7: 8912-8928. |
[22] | ZHAO X G, ZHANG Z Q, XIE Y M, et al. Economic-environmental dispatch of microgrid based on improved quantum particle swarm optimization[J]. Energy, 2020, 195: 117014. |
[23] | TORKAN R, ILINCA A, GHORBANZADEH M. A genetic algorithm optimization approach for smart energy management of microgrids[J]. Renewable Energy, 2022, 197: 852-863. |
[24] | NGUYEN T T, NGO T G, DAO T K, et al. Microgrid operations planning based on improving the flying sparrow search algorithm[J]. Symmetry, 2022, 14(1): 168. |
[25] | LI B, DENG H S, WANG J E. Optimal scheduling of microgrid considering the interruptible load shifting based on improved biogeography-based optimization algorithm[J]. Symmetry, 2021, 13(9): 1707. |
[26] | CHEN W M, SHAO Z H, WAKIL K, et al. An efficient day-ahead cost-based generation scheduling of a multi-supply microgrid using a modified krill herd algorithm[J]. Journal of Cleaner Production, 2020, 272: 122364. |
[27] | YANG Q D, DONG N, ZHANG J. An enhanced adaptive bat algorithm for microgrid energy scheduling[J]. Energy, 2021, 232: 121014. |
[28] | SUMAN G K, GUERRERO J M, ROY O P. Optimisation of solar/wind/bio-generator/diesel/battery based microgrids for rural areas: A PSO-GWO approach[J]. Sustainable Cities & Society, 2021, 67: 102723. |
[29] | MIRJALILI S, LEWIS A. The whale optimization algorithm[J]. Advances in Engineering Software, 2016, 95: 51-67. |
[30] | XIAN H F, CHE J X. Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting[J]. Applied Soft Computing, 2022, 130: 109690. |
[31] | YAN Z P, ZHANG J Z, ZENG J, et al. Three-dimensional path planning for autonomous underwater vehicles based on a whale optimization algorithm[J]. Ocean Engineering, 2022, 250: 111070. |
[32] | KAUR B, RATHI S, AGRAWAL R K. Enhanced depression detection from speech using quantum whale optimization algorithm for feature selection[J]. Computers in Biology & Medicine, 2022, 150: 106122. |
[33] | RASHEDI E, NEZAMABADI-POUR H, SARYAZDI S. GSA: A gravitational search algorithm[J]. Information Sciences, 2009, 179(13): 2232-2248. |
[34] | 吴定会, 高聪, 纪志成. 混合粒子群算法在微电网经济优化运行的应用[J]. 控制理论与应用, 2018, 35(4): 457-467. |
WU Dinghui, GAO Cong, JI Zhicheng. Economic optimization operation of the microgrid using the hybrid particle swarm optimization algorithm[J]. Control Theory & Applications, 2018, 35(4): 457-467. | |
[35] | GHASEMI A. Coordination of pumped-storage unit and irrigation system with intermittent wind generation for intelligent energy management of an agricultural microgrid[J]. Energy, 2018, 142: 1-13. |
[36] | QAIS M H, HASANIEN H M, ALGHUWAINEM S. Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators[J]. Applied Soft Computing, 2020, 86: 105937. |
[37] | LIU Y X, YANG S W, LI D J, et al. Improved whale optimization algorithm for solving microgrid operations planning problems[J]. Symmetry, 2022, 15(1): 36. |
[1] | GU Huijie, DONG Cheng, HE Xiqi, HU Rong, ZHANG Honglue, WEN Zhaoxin. Spot Market Clearing and Pricing Model of Regional Power Grid Considering Transmission Cost of Inter-Provincial Power Transactions [J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 208-220. |
[2] | MENG Yu, GUO Rui, SHI Zichuan, XUE Junyi, LÜ Jiawen, FAN Feilong. Robustly Coordinated Operation for Flexible Resources in Low-Carbon Park with High Penetration of Wind Power [J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 165-174. |
[3] | LIU Dongchen, JI Yu, HU Yue. Summary of Research and Practice on V2G Technology of Transportation and Energy Fusion [J]. Journal of Shanghai Jiao Tong University, 2025, 59(1): 1-15. |
[4] | NIE Shihao, CHEN Lei, HAO Ling, XU Fei, MIN Yong, DOU Zhenlan, ZHANG Chunyan, SUN Pei. An AGC Frequency Control Reserve Capacity Evaluation Method for Air Conditioner Groups Based on Nonintrusive Load Disaggregation [J]. Journal of Shanghai Jiao Tong University, 2024, 58(12): 1892-1902. |
[5] | BAI Wenchao, BAN Mingfei, SONG Meng, XIA Shiwei, LI Zhiyi, SONG Wenlong. Coordinate Scheduling Model of Electric Vehicle-Unmanned Aerial Vehicle Joint Rescue System [J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1443-1453. |
[6] | SUN Yi, GU Jiaxun, ZHENG Shunlin, LI Xiong, LU Chunguang, LIU Wei. Low-Carbon Optimal Operation Strategy of Integrated Energy System Considering Generalized Energy Storage and LCA Carbon Emission [J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 647-658. |
[7] | CHEN Lianfu, ZHONG Haiwang, TAN Zhenfei, RUAN Guangchun. Comprehensive Evaluation of Key Technologies in Power Internet of Things Based on Comprehensive Similarity of Cloud Model [J]. Journal of Shanghai Jiao Tong University, 2024, 58(1): 19-29. |
[8] | JIANG Enyu, CHEN Yu, SHI Zhengjing, WU Zhecheng, LIN Shunfu, LI Dongdong. A Microgrid Energy Management Strategy Considering Carbon Quota Guided Demand Response [J]. Journal of Shanghai Jiao Tong University, 2023, 57(9): 1126-1136. |
[9] | LIU Didi, YANG Yifei, YANG Yuhui, ZOU Yanli, WANG Xiaohua, LI Xin. Management and Optimal Control Algorithm for Electric Vehicle Charging in Random Environment [J]. Journal of Shanghai Jiao Tong University, 2023, 57(1): 1-9. |
[10] | LI Hengjie, ZHU Jianghao, FU Xiaofei, FANG Chen, LIANG Daming, ZHOU Yun. Ultra-Short-Term Load Forecasting of Electric Vehicle Charging Stations Based on Ensemble Learning [J]. Journal of Shanghai Jiao Tong University, 2022, 56(8): 1004-1013. |
[11] | LI Xingzhi, HAN Bei, LI Guojie, WANG Keyou, XU Jin. Challenges of Distributed Green Energy Carbon Trading Mechanism and Carbon Data Management [J]. Journal of Shanghai Jiao Tong University, 2022, 56(8): 977-993. |
[12] | WANG Xingzhi, ZHAI Haibao, YAN Yaqin, WU Qingxi. Pre-Dispatching Method of New Generation Dispatching and Control System Based on Digital Twin and Deep Learning [J]. Journal of Shanghai Jiao Tong University, 2021, 55(S2): 37-41. |
[13] |
QIN Yuyao1, CHEN Sijie1, FANG Shengzhe1, YAN Zheng2, XIE Da1.
Comparative Study of Two Recovery Mechanisms for Thermal Plants’ Operating Costs Under Locational Marginal Price [J]. Journal of Shanghai Jiao Tong University, 0, (): 1-. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 162
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 2056
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||