COLLABORATIVE OPTIMIZATION STRATEGY FOR MICROGRID WITH INDEPENDENT ENERGY STORAGE AND DUAL RESPONSE OF SUPPLY-DEMAND BASED ON HIERARCHICAL NESTED GAME

Zou Yang; Yao Yujia; Shi Songhao; Huang Yu; Fang Menghong; Jin Tao

doi:10.19912/j.0254-0096.tynxb.2024-1867

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 714-725. DOI: 10.19912/j.0254-0096.tynxb.2024-1867

COLLABORATIVE OPTIMIZATION STRATEGY FOR MICROGRID WITH INDEPENDENT ENERGY STORAGE AND DUAL RESPONSE OF SUPPLY-DEMAND BASED ON HIERARCHICAL NESTED GAME

Zou Yang, Yao Yujia, Shi Songhao, Huang Yu, Fang Menghong, Jin Tao

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Abstract

Microgrid and energy storage, as an effective way to promote new energy consumption, are becoming the current research hotspot. In order to explore effective approaches to power interaction between different subjects within the microgrid under the situation of green and low-carbon transformation of energy structure and the reform of the electricity market, and to fully utilize the regulatory potential of energy storage as an independent subject participating in power trading, this paper proposes a coordinative optimization strategy based on the hierarchical nested game of independent energy storage and supply-demand dual-response in microgrids. Firstly, based on the flexible adjustment of source-storage-load, a two-level nested game interaction framework is constructed for multiple subjects in the microgrid, in which the first-level game is the optimization of energy consumption strategy for photovoltaic users' demand response, and the second-level game is the optimization of microgrid's energy supply strategy through the coordination of independent energy storage, achieving dual-response of supply and demand through the interaction of decision variables at two-level. Secondly, according to the source-storage-load hierarchical nested framework, a distributed collaborative optimization model considering the interests of various market participants is established. Then, the heuristic algorithm combined with the mixed integer programming method is used to solve the interaction strategies of supply and demand multiple participants in pursuit of the optimal objective. Finally, the effectiveness of the proposed strategy was rerified through numerical examples, i.e., it can effectively balance the interests of multiple subjects, improve the utilization rate of energy storage resources, optimize the balance between supply and demand of microgrids, and achieve an improvement in overall economic benefits.

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microgrids / optimizing stratery / energy storage / master-slave game / double side response of supply-demand

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Zou Yang, Yao Yujia, Shi Songhao, Huang Yu, Fang Menghong, Jin Tao. COLLABORATIVE OPTIMIZATION STRATEGY FOR MICROGRID WITH INDEPENDENT ENERGY STORAGE AND DUAL RESPONSE OF SUPPLY-DEMAND BASED ON HIERARCHICAL NESTED GAME[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 714-725 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1867

References

[1] 亢丽君, 王蓓蓓, 薛必克, 等. 计及爬坡场景覆盖的高比例新能源电网平衡策略研究[J]. 电工技术学报, 2022, 37(13): 3275-3288.
KANG L J, WANG B B, XUE B K, et al.Research on the balance strategy for power grid with high proportion renewable energy considering the ramping scenario coverage[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3275-3288.
[2] 张青苗, 陈来军, 李笑竹, 等. 基于主从博弈的工业园区运营商与分布式光储用户购售电优化决策[J]. 太阳能学报, 2024, 45(1): 450-456.
ZHANG Q M, CHEN L J, LI X Z, et al.Optimization decision of purchasing and selling power between industrial park operators and distributed optical storage users based on Stackelberg game[J]. Acta energiae solaris sinica, 2024, 45(1): 450-456.
[3] 谢敬东, 徐振邦. 基于三方博弈的多能交互微网群系统双层优化模型[J]. 太阳能学报, 2024, 45(2): 384-394.
XIE J D, XU Z B.Two-layer optimization model for multi-energy interactive microgrid cluster system based on tripartite game[J]. Acta energiae solaris sinica, 2024, 45(2): 384-394.
[4] 潘郑楠, 邓长虹, 徐慧慧, 等. 考虑灵活性补偿的高比例风电与多元灵活性资源博弈优化调度[J]. 电工技术学报, 2023, 38(增刊1): 56-69.
PAN Z N, DENG C H, XU H H, et al.Game optimization scheduling of high proportion wind power and multiple flexible resources considering flexibility compensation[J]. Transactions of China Electrotechnical Society, 2023, 38(S1): 56-69.
[5] 吴盛军, 李群, 刘建坤, 等. 基于储能电站服务的冷热电多微网系统双层优化配置[J]. 电网技术, 2021, 45(10): 3822-3832.
WU S J, LI Q, LIU J K, et al.Bi-level optimal configuration for combined cooling heating and power multi-microgrids based on energy storage station service[J]. Power system technology, 2021, 45(10): 3822-3832.
[6] 王思明, 牛玉刚, 方磊, 等. 考虑新能源出力不确定性的微网社区双阶段调度策略[J]. 电力系统保护与控制, 2018, 46(17): 89-98.
WANG S M, NIU Y G, FANG L, et al.Dual stage scheduling strategy for microgrid community considering uncertainty of renewable energy[J]. Power system protection and control, 2018, 46(17): 89-98.
[7] 金力, 房鑫炎, 蔡振华, 等. 考虑特性分布的储能电站接入的电网多时间尺度源储荷协调调度策略[J]. 电网技术, 2020, 44(10): 3641-3650.
JIN L, FANG X Y, CAI Z H, et al.Multiple time-scales source-storage-load coordination scheduling strategy of grid connected to energy storage power station considering characteristic distribution[J]. Power system technology, 2020, 44(10): 3641-3650.
[8] LAI S Y, QIU J, TAO Y C.Credit-based pricing and planning strategies for hydrogen and electricity energy storage sharing[J]. IEEE transactions on sustainable energy, 2022, 13(1): 67-80.
[9] KALATHIL D, WU C Y, POOLLA K, et al.The sharing economy for the electricity storage[J]. IEEE transactions on smart grid, 2019, 10(1): 556-567.
[10] 李咸善, 解仕杰, 方子健, 等. 多微电网共享储能的优化配置及其成本分摊[J]. 电力自动化设备, 2021, 41(10): 44-51.
LI X S, XIE S J, FANG Z J, et al.Optimal configuration of shared energy storage for multi-microgrid and its cost allocation[J]. Electric power automation equipment, 2021, 41(10): 44-51.
[11] 高赐威, 林固静, 宋梦, 等. 基于组合拍卖的广义共享储能运营机制设计[J]. 中国电机工程学报, 2024, 44(16): 6307-6320.
GAO C W, LIN G J, SONG M, et al.Operation mechanism design for generalized shared energy storage based on combinatorial auction[J]. Proceedings of the CSEE, 2024, 44(16): 6307-6320.
[12] 肖云鹏, 张兰, 张轩, 等. 包含独立储能的现货电能量与调频辅助服务市场出清协调机制[J]. 中国电机工程学报, 2020, 40(增刊1): 167-180.
XIAO Y P, ZHANG L, ZHANG X, et al.Coordination mechanism of spot electric energy with independent energy storage and market clearing of FM auxiliary service[J]. Proceedings of the CSEE, 2020, 40(S1): 167-180.
[13] 王子谋, 黄弦超, 史磊, 等. 独立储能电站参与电能量和调频市场容量投标的协同优化[J]. 太阳能学报, 2024, 45(9): 630-638.
WANG Z M, HUANG X C, SHI L, et al.Collaborative optimization of independent energy storage power station’s capacity biddind in real-time energy and requlation market[J]. Acta energiae solaris sinica, 2024, 45(9): 630-638.
[14] 崔杨, 张家瑞, 王铮, 等. 计及价格型需求响应的风-光-光热联合发电系统日前调度策略[J]. 中国电机工程学报, 2020, 40(10): 3103-3114.
CUI Y, ZHANG J R, WANG Z, et al.Day-ahead scheduling strategy of wind-PV-CSP hybrid power generation system by considering PDR[J]. Proceedings of the CSEE, 2020, 40(10): 3103-3114.
[15] 徐成司, 董树锋, 华一波, 等. 基于改进一致性算法的工业园区分布式综合需求响应[J]. 电工技术学报, 2022, 37(20): 5175-5187.
XU C S, DONG S F, HUA Y B, et al.Distributed integrated demand response of industrial park based on improved consensus algorithm[J]. Transactions of China Electrotechnical Society, 2022, 37(20): 5175-5187.
[16] 王海洋, 李珂, 张承慧, 等. 基于主从博弈的社区综合能源系统分布式协同优化运行策略[J]. 中国电机工程学报, 2020, 40(17): 5435-5445.
WANG H Y, LI K, ZHANG C H, et al.Distributed coordinative optimal operation of community integrated energy system based on Stackelberg game[J]. Proceedings of the CSEE, 2020, 40(17): 5435-5445.
[17] 王雪纯, 陈红坤, 陈磊. 提升区域综合能源系统运行灵活性的多主体互动决策模型[J]. 电工技术学报, 2021, 36(11): 2207-2219.
WANG X C, CHEN H K, CHEN L.Multi-player interactive decision-making model for operational flexibility improvement of regional integrated energy system[J]. Transactions of China Electrotechnical Society, 2021, 36(11): 2207-2219.
[18] 崔明勇, 宣名阳, 卢志刚, 等. 基于合作博弈的多综合能源服务商运行优化策略[J]. 中国电机工程学报, 2022, 42(10): 3548-3564.
CUI M Y, XUAN M Y, LU Z G, et al.Operation optimization strategy of multi integrated energy service companies based on cooperative game theory[J]. Proceedings of the CSEE, 2022, 42(10): 3548-3564.
[19] LIU N, ZHOU L J, WANG C, et al.Heat-electricity coupled peak load shifting for multi-energy industrial parks: a Stackelberg game approach[J]. IEEE transactions on sustainable energy, 2020, 11(3): 1858-1869.
[20] 帅轩越, 马志程, 王秀丽, 等. 基于主从博弈理论的共享储能与综合能源微网优化运行研究[J]. 电网技术, 2023, 47(2): 679-690.
SHUAI X Y, MA Z C, WANG X L, et al.Optimal operation of shared energy storage and integrated energy microgrid based on leader-follower game theory[J]. Power system technology, 2023, 47(2): 679-690.
[21] 周鑫, 韩肖清, 李廷钧, 等. 计及需求响应和电能交互的多主体综合能源系统主从博弈优化调度策略[J]. 电网技术, 2022, 46(9): 3333-3346.
ZHOU X, HAN X Q, LI T J, et al.Master-slave game optimal scheduling strategy for multi-agent integrated energy system based on demand response and power interaction[J]. Power system technology, 2022, 46(9): 3333-3346.
[22] 李东东, 陈天旭, 沈运帷, 等. 基于联合虚拟储能系统的海岛微电网协同优化策略[J]. 中国电机工程学报, 2023, 43(20): 7842-7856.
LI D D, CHEN T X, SHEN Y W, et al.Collaborative optimization of island microgrid based on joint virtual energy storage system strategy[J]. Proceedings of the CSEE, 2023, 43(20): 7842-7856.
[23] 李咸善, 方子健, 李飞, 等. 含多微电网租赁共享储能的配电网博弈优化调度[J]. 中国电机工程学报, 2022, 42(18): 6611-6625.
LI X S, FANG Z J, LI F, et al.Game-based optimal dispatching strategy for distribution network with multiple microgrids leasing shared energy storage[J]. Proceedings of the CSEE, 2022, 42(18): 6611-6625.