RESEARCH ON OPTIMAL DISPATCH STRATEGY OF RURAL MULTI-MICROGRID SYSTEM CONSIDERING ECONOMIC AUTONOMOUS OPERATION

He Dong, Zou Yuxin, Lan Zheng, Zeng Jinhui

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 243-252.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 243-252. DOI: 10.19912/j.0254-0096.tynxb.2025-1084

RESEARCH ON OPTIMAL DISPATCH STRATEGY OF RURAL MULTI-MICROGRID SYSTEM CONSIDERING ECONOMIC AUTONOMOUS OPERATION

  • He Dong, Zou Yuxin, Lan Zheng, Zeng Jinhui
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Abstract

In order to improve the operation economy and autonomy of rural microgrid, an optimal scheduling strategy of multi-microgrid system is proposed, which considers economy, environmental costs and microgrid autonomy . Firstly, the rural multi-microgrid system structure and distributed power output model composed of three different types of rural microgrids are established, based on which the rural multi-microgrid system optimal scheduling model is constructed. Secondly, improved bald eagle search algorithm (IBES) based on Bernoulli chaotic mapping, Levy flight, nonlinear weight factor and adaptive t-distribution mutation strategy is proposed to enhance the efficiency and accuracy of the optimal scheduling model solution. Finally, MATLAB simulation software is used to build the rural multi-microgrid system model, and the proposed optimal scheduling method of rural multi-microgrid system is verified by comparative analysis. The results show that compared with the traditional bald eagle search algorithm (BES), IBES improves the system economy and autonomy by 15.75% and 9.51%, respectively. In addition, the optimized scheduling strategy proposed in this study improves the autonomy by about 19.00% compared with the conventional strategy without considering autonomy. Therefore, the proposed optimal scheduling model and the IBES proposed in this paper can rationally distribute rural distributed generation and effectively improve the economic efficiency of the system and the autonomy of microgrid, which is of great significance for the development of new rural power distribution systems.

Key words

rural areas / microgrids / scheduling / improved bald eagle search algorithm / autonomy

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He Dong, Zou Yuxin, Lan Zheng, Zeng Jinhui. RESEARCH ON OPTIMAL DISPATCH STRATEGY OF RURAL MULTI-MICROGRID SYSTEM CONSIDERING ECONOMIC AUTONOMOUS OPERATION[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 243-252 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1084

References

[1] Li S R, Zhang L H, Su L, et al.Exploring the coupling coordination relationship between eco-environment and renewable energy development in rural areas: a case of China[J]. Science of the Total Environment, 2023, 880: 163229.
[2] 王成山, 武震, 李鹏. 微电网关键技术研究[J]. 电工技术学报, 2014, 29(2): 1-12.
Wang C S, Wu Z, Li P.Research on key technologies of microgrid[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 1-12.
[3] 杨新法, 苏剑, 吕志鹏, 等. 微电网技术综述[J]. 中国电机工程学报, 2014, 34(1): 57-70.
Yang X F, Su J, Lyu Z P, et al.Overview on micro-grid technology[J]. Proceedings of the CSEE, 2014, 34(1): 57-70.
[4] 马艺玮, 杨苹, 王月武, 等. 微电网典型特征及关键技术[J]. 电力系统自动化, 2015, 39(8): 168-175.
Ma Y W, Yang P, Wang Y W, et al.Typical characteristics and key technologies of microgrid[J]. Automation of Electric Power Systems, 2015, 39(8): 168-175.
[5] 吴雄, 王秀丽, 刘世民, 等. 微电网能量管理系统研究综述[J]. 电力自动化设备, 2014, 34(10): 7-14.
Wu X, Wang X L, Liu S M, et al.Summary of research on microgrid energy management system[J]. Electric Power Automation Equipment, 2014, 34(10): 7-14.
[6] 黎静华, 朱梦姝, 陆悦江, 等. 综合能源系统优化调度综述[J]. 电网技术, 2021, 45(6): 2256-2272.
Li J H, Zhu M S, Lu Y J, et al.Review on optimal scheduling of integrated energy systems[J]. Power System Technology, 2021, 45(6): 2256-2272.
[7] Jiang H Y, Ning S Y, Ge Q B.Multi-objective optimal dispatching of microgrid with large-scale electric vehicles[J]. IEEE Access, 2019, 7: 145880-145888.
[8] 赵超, 王斌, 孙志新, 等. 基于改进灰狼算法的独立微电网容量优化配置[J]. 太阳能学报, 2022, 43(1): 256-262.
Zhao C, Wang B, Sun Z X, et al.Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 256-262.
[9] Ferahtia S, Rezk H, Ali Abdelkareem M, et al.Optimal techno-economic energy management strategy for building’s microgrids based bald eagle search optimization algorithm[J]. Applied Energy, 2022, 306: 118069.
[10] Youssef H, Kamel S, Hassan M H, et al.An improved bald eagle search optimization algorithm for optimal home energy management systems[J]. Soft Computing, 2024, 28(2): 1367-1390.
[11] 张政林, 张惠娟, 孙文治, 等. 含混合储能的微电网能量优化管理[J]. 科学技术与工程, 2022, 22(25): 11049-11056.
Zhang Z L, Zhang H J, Sun W Z, et al.Optimal energy management of microgrid with hybrid energy storage[J]. Science Technology and Engineering, 2022, 22(25): 11049-11056.
[12] 黄冬梅, 吕嘉欣, 时帅, 等. 计及需求响应的海岛微电网群优化运行研究[J]. 电力系统保护与控制, 2024, 52(9): 88-98.
Huang D M, Lyu J X, Shi S, et al.Optimal operation of island microgrid clusters considering demand response[J]. Power System Protection and Control, 2024, 52(9): 88-98.
[13] 曾志辉, 李雪强, 尹路路, 等. 基于改进蝙蝠算法的微网群能量优化方法[J]. 电子测量技术, 2023, 46(10): 53-60.
Zeng Z H, Li X Q, Yin L L, et al.Energy optimization method of microgrid cluster based on improved bat algorithm[J]. Electronic Measurement Technology, 2023, 46(10): 53-60.
[14] 米师农, 张建成, 郭伟. 基于改进FPA算法的互联微电网优化调度模型[J]. 高电压技术, 2019, 45(9): 2849-2856.
Mi S N, Zhang J C, Guo W.Optimal scheduling model of interconnected microgrids based on modified FPA algorithm[J]. High Voltage Engineering, 2019, 45(9): 2849-2856.
[15] Liu Y X, Guo L, Wang C S.A robust operation-based scheduling optimization for smart distribution networks with multi-microgrids[J]. Applied Energy, 2018, 228: 130-140.
[16] 王皓, 艾芊, 吴俊宏, 等. 基于交替方向乘子法的微电网群双层分布式调度方法[J]. 电网技术, 2018, 42(6): 1718-1725.
Wang H, Ai Q, Wu J H, et al.Bi-level distributed optimization for microgrid clusters based on alternating direction method of multipliers[J]. Power System Technology, 2018, 42(6): 1718-1725.
[17] Jani V, Abdi H.Optimal allocation of energy storage systems considering wind power uncertainty[J]. Journal of Energy Storage, 2018, 20: 244-253.
[18] Prasad A A, Taylor R A, Kay M.Assessment of direct normal irradiance and cloud connections using satellite data over Australia[J]. Applied Energy, 2015, 143: 301-311.
[19] 虞启辉, 田利, 李晓飞, 等. 考虑风能不确定性的压缩空气储能容量配置及经济性评估[J]. 储能科学与技术, 2021, 10(5): 1614-1623.
Yu Q H, Tian L, Li X F, et al.Compressed air energy storage capacity configuration and economic evaluation considering the uncertainty of wind energy[J]. Energy Storage Science and Technology, 2021, 10(5): 1614-1623.
[20] 郑晶晶, 闫志杰, 李伟, 等. 基于蒙特卡洛法的电动汽车无序充电对电网的影响分析[J]. 电气传动自动化, 2019, 41(5): 1-5.
Zheng J J, Yan Z J, Li W, et al.Analysis on the impacts of electric vehicle disorderly charging on power grid load based on Monte Carlo method[J]. Electric Drive Automation, 2019, 41(5): 1-5.
[21] 贾鹤鸣, 姜子超, 李瑶. 基于改进秃鹰搜索算法的同步优化特征选择[J]. 控制与决策, 2022, 37(2): 445-454.
Jia H M, Jiang Z C, Li Y.Simultaneous feature selection optimization based on improved bald eagle search algorithm[J]. Control and Decision, 2022, 37(2): 445-454.
[22] 张云辉. 秃鹰搜索算法及应用研究[D]. 南宁: 广西民族大学, 2023.
Zhang Y H.Research on bald eagle search algorithm and its application[D]. Nanning: Guangxi University for Nationalities, 2023.
[23] 周辉, 张玉, 肖烈禧, 等. 基于改进秃鹰算法的微电网群经济优化调度研究[J]. 太阳能学报, 2024, 45(2): 328-335.
Zhou H, Zhang Y, Xiao L X, et al.Research on economic optimal dispatching of microgrid clusters based on improved bald eagle search algorithm[J]. Acta Energiae Solaris Sinica, 2024, 45(2): 328-335.
[24] 贾鹤鸣, 刘庆鑫, 刘宇翔, 等. 融合动态反向学习的阿奎拉鹰与哈里斯鹰混合优化算法[J]. 智能系统学报, 2023, 18(1): 104-116.
Jia H M, Liu Q X, Liu Y X, et al.Hybrid Aquila and Harris Hawks optimization algorithm with dynamic opposition-based learning[J]. CAAI Transactions on Intelligent Systems, 2023, 18(1): 104-116.
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