ROBUST OPTIMIZATION OF MULTI-MICROGRID SYSTEMS IN CCHP REGIONS CONSIDERING SELF-BUILT SHARED ENERGY STORAGE STATION

Yu Jianwu, Bao Shiyuan, Li Shan, Wu Honglin, Li Haixiao

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 503-513.

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 503-513. DOI: 10.19912/j.0254-0096.tynxb.2023-1477

ROBUST OPTIMIZATION OF MULTI-MICROGRID SYSTEMS IN CCHP REGIONS CONSIDERING SELF-BUILT SHARED ENERGY STORAGE STATION

  • Yu Jianwu1, Bao Shiyuan1,2, Li Shan1,2, Wu Honglin1, Li Haixiao1,2
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Abstract

In a local distribution network area, multiple combined cooling, heating, and power (CCHP) microgrids are integrated, exhibiting uncertainties in generation and load, as well as the disorder and complementarity in energy storage scheduling. Adopting robust optimization and a shared energy storage model helps enhance the system's risk resistance and improve the utilization efficiency of storage capacity. Therefore, a robust optimization model considering source-load uncertainties and cooperative scheduling of self-built and shared energy storage plants in multiple microgrids is proposed for a regional multi-microgrid system with combined cooling, heating and power supply. This robust optimization scheduling model includes two-stage decision-making process, aiming to provide a optimal scheduling scheme for self-built shared energy storage power station capacity planning and multi-microgrid system operations, taking into account the impact of source-load uncertainties and power interaction exchange between regional microgrids. The goal is to minimize the overall operational costs of the regional multi-microgrid system and the initial investment costs of self-built shared energy storage stations. The simulation results demonstrate the effectiveness of the proposed model.

Key words

microgrid / energy storage / robustness / combined cooling,heating and power / interactive power

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Yu Jianwu, Bao Shiyuan, Li Shan, Wu Honglin, Li Haixiao. ROBUST OPTIMIZATION OF MULTI-MICROGRID SYSTEMS IN CCHP REGIONS CONSIDERING SELF-BUILT SHARED ENERGY STORAGE STATION[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 503-513 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1477

References

[1] 周孝信, 陈树勇, 鲁宗相, 等. 能源转型中我国新一代电力系统的技术特征[J]. 中国电机工程学报, 2018, 38(7): 1893-1904, 2205.
ZHOU X X, CHEN S Y, LU Z X, et al.Technology features of the new generation power system in China[J]. Proceedings of the CSEE, 2018, 38(7): 1893-1904, 2205.
[2] 杜锡力, 李笑竹, 陈来军, 等. 面向多场景调节需求的集中式共享储能鲁棒优化配置[J]. 电工技术学报, 2022, 37(23): 5911-5921.
DU X L, LI X Z, CHEN L J, et al.Robust and optimized configuration of centralized shared energy storage for multi-scenario regulation demand[J]. Transactions of China Electrotechnical Society, 2022, 37(23): 5911-5921.
[3] 符杨, 张智泉, 李振坤, 等. 基于二阶段鲁棒博弈模型的微电网群及混合交直流配电系统协调能量管理策略研究[J]. 中国电机工程学报, 2020, 40(4): 1226-1240.
FU Y, ZHANG Z Q, LI Z K, et al.A two-stage robust game approach for coordinated energy management in hybrid AC/DC distribution system with microgrid clusters[J]. Proceedings of the CSEE, 2020, 40(4): 1226-1240.
[4] 张靠社, 冯培基, 张刚, 等. 考虑机会约束的多能源微电网双层优化配置[J]. 太阳能学报, 2021, 42(8): 41-48.
ZHANG K S, FENG P J, ZHANG G, et al.Bi-level optimization configuration method for multienergy microgrid considering chance constraints[J]. Acta energiae solaris sinica, 2021, 42(8): 41-48.
[5] 孙可, 张全明, 王蕾, 等. 考虑安全裕度的微电网两阶段鲁棒规划[J]. 电网技术, 2020, 44(12): 4617-4626.
SUN K, ZHANG Q M, WANG L, et al.Two-stage robust planning for microgrid considering security margin[J]. Power system technology, 2020, 44(12): 4617-4626.
[6] WANG L Z, LIU J X, YUAN R F, et al.Adaptive bidding strategy for real-time energy management in multi-energy market enhanced by blockchain[J]. Applied energy, 2020, 279: 115866.
[7] ZHANG D L, CHEN Y C, WANG L Z, et al.Control strategy and optimal configuration of energy storage system for smoothing short-term fluctuation of PV power[J]. Sustainable energy technologies and assessments, 2021, 45: 101166.
[8] MUBAARAK S, ZHANG D L, WANG L Z, et al.Efficient photovoltaics-integrated hydrogen fuel cell-based hybrid system: energy management and optimal configuration[J]. 2021, 13(1): 013502.
[9] 帅轩越, 王秀丽, 吴雄, 等. 计及条件风险价值下基于合作博弈的多微网协同优化调度[J]. 电网技术, 2022, 46(1): 130-138.
SHUAI X Y, WANG X L, WU X, et al.Cooperative optimal scheduling of multi-microgrids based on cooperative game considering conditional value at risk[J]. Power system technology, 2022, 46(1): 130-138.
[10] YANG Y, JI Y F, GENG G C, et al.Probabilistic revenue analysis of microgrid considering source-load and forecast uncertainties[J]. IEEE access, 2022, 10: 2469-2479.
[11] 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.
[12] 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.
[13] 桑博, 张涛, 刘亚杰, 等. 期望场景下的并网型微电网两阶段鲁棒优化调度[J]. 中国电机工程学报, 2020, 40(19): 6161-6173.
SANG B, ZHANG T, LIU Y J, et al.Two-stage robust optimal scheduling of grid-connected microgrid under expected scenarios[J]. Proceedings of the CSEE, 2020, 40(19): 6161-6173.
[14] DAI R, ESMAEILBEIGI R, CHARKHGARD H.The utilization of shared energy storage in energy systems: a comprehensive review[J]. IEEE transactions on smart grid, 2021, 12(4): 3163-3174.
[15] DOROUDCHI E, KHAJEH H, LAAKSONEN H.Increasing self-sufficiency of energy community by common thermal energy storage[J]. IEEE access, 2022, 10: 85106-85113.
[16] JO J, PARK J.Demand-side management with shared energy storage system in smart grid[J]. IEEE transactions on smart grid, 2020, 11(5): 4466-4476.
[17] 谢雨龙, 罗逸飏, 李智威, 等. 考虑微网新能源经济消纳的共享储能优化配置[J]. 高电压技术, 2022, 48(11): 4403-4413.
XIE Y L, LUO Y Y, LI Z W, et al.Optimal allocation of shared energy storage considering the economic consumption of microgrid new energy[J]. High voltage engineering, 2022, 48(11): 4403-4413.
[18] JIANG S, WEN S L, ZHU M, et al.Scenario-transformation-based optimal sizing of hybrid hydrogen-battery storage for multi-timescale islanded microgrids[J]. IEEE transactions on sustainable energy, 2023, 14(3): 1784-1795.
[19] LIANG J K, TANG W Y.Sequence generative adversarial networks for wind power scenario generation[J]. IEEE journal on selected areas in communications, 2020, 38(1): 110-118.
[20] QIU H F, GU W, XU Y L, et al.Robustly multi-microgrid scheduling: stakeholder-parallelizing distributed optimization[J]. IEEE transactions on sustainable energy, 2020, 11(2): 988-1001.
[21] 吴江, 王晶晶, 张强, 等. 考虑电转气消纳风电的电-气综合能源系统两阶段鲁棒协同调度[J]. 太阳能学报, 2022, 43(2): 436-443.
WU J, WANG J J, ZHANG Q, et al.Two-stage robust cooperative scheduling for electricity-gas integrated energy system considering power-to-gas for wind power accommodation[J]. Acta energiae solaris sinica, 2022, 43(2): 436-443.
[22] 林顺富, 刘持涛, 李东东, 等. 考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置[J]. 中国电机工程学报, 2020, 40(5): 1409-1421.
LIN S F, LIU C T, LI D D, et al.Bi-level multiple scenarios collaborative optimization configuration of CCHP regional multi-microgrid system considering power interaction among microgrids[J]. Proceedings of the CSEE, 2020, 40(5): 1409-1421.
[23] BAGHERI F, DAGDOUGUI H, GENDREAU M.Stochastic optimization and scenario generation for peak load shaving in smart district microgrid: sizing and operation[J]. Energy and buildings, 2022, 275: 112426.
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