
中国电建集团青海省电力设计院有限公司
Published:2025
移动端阅览
[J]. 2025, (2): 1-13.
随着微电网系统内源荷不匹配问题的日益突出,需求响应和共享储能成为协调供需平衡的关键手段。首先,将共享储能服务引入到微电网优化调度中;其次,为实现需求响应资源的跨系统调度,提出了以负荷聚合商(Load Aggregator
LA)为中心的双边综合需求响应(demand response
DR)机制,建立了包含综合能源系统(Integrated Energy System
IES)
LA和用户的多主体运行优化模型,并利用三阶段Stackelberg博弈决策DR补贴价格;然后,通过Karush-Kuhn-Tucker条件和大M法,将两阶段博弈模型转化为IES和LA之间的博弈模型,并利用白鲨优化算法与Gurobi求解器相结合的方法进行模型求解。最后仿真结果表明本文使得微电网成本降低3.71%
负荷聚合商和用户的收益上升了17.37%和7.21%。
肖凯.考虑低碳需求响应的用户侧储能模式分析与优化[J].储能科学与技术,2024(06).
白雪,武昭原,韩晓男,汪莹,王新刚,周明,赵会茹.考虑多元盈利模式的新能源基地共享储能优化配置[J].现代电力,2025(03).
屈克庆,乔敬茂,毛玲,朱少杰,赵晋斌.共享储能电站优化配置及选址评价方法[J].现代电力,2025(03).
谭玲玲,汤伟,楚冬青,于子涵,吉兴全,张玉敏.考虑电-氢一体化的微电网低碳-经济协同优化调度[J].中国电力,2024(05).
熊小萍,杨辉,蔡义明.考虑用户禀赋效应和环保意识不确定性的微电网鲁棒优化调度方法[J].中国电机工程学报,2023(21).
张超,贾长杰,何文俊,钟泰军,冯忠楠.基于共享聚合相变储能系统的区域联合削峰填谷策略[J].电力科学与技术学报,2022(05).
徐艳春,刘海权,孙思涵,MI Lu.计及需求响应和共享储能的多微网系统双层优化调度[J].电力自动化设备,2023(06).
谭鸣骢,王玲玲,蒋传文,刘航航,巫里尔沙,唐炯.考虑负荷聚合商调节潜力的需求响应双层优化模型[J].中国电力,2022(10).
刘文霞,姚齐,王月汉,陈璐,鲁宇.基于阶梯型需求响应机制的供需主从博弈电源规划模型[J].电力系统自动化,2022(20).
刘亚锦,代航,刘志坚,刘瑞光.面向多类型工业用户的分散式共享储能配置及投资效益分析[J].电力自动化设备,2021(10).
张海静,杨雍琦,赵昕,徐楠,李晨辉,薛万磊.计及需求响应的区域综合能源系统双层优化调度策略[J].中国电力,2021(04).
吴盛军,刘建坤,周前,汪成根,陈哲.考虑储能电站服务的冷热电多微网系统优化经济调度[J].电力系统自动化,2019(10).
刘一欣,郭力,王成山.微电网两阶段鲁棒优化经济调度方法[J].中国电机工程学报,2018(14).
Nan Wu,Jun Xu,Jinqing Linghu,Jie Huang.Real-time optimal control and dispatching strategy of multi-microgrid energy based on storage collaborative[J].International Journal of Electrical Power and Energy Systems,2024.
Timothy Capper,Jaise Kuriakose,Maria Sharmina.Facilitating domestic demand response in Britain’s electricity system[J].Utilities Policy,2024.
Yibin Qiu,Qi Li,Yuxuan Ai,Tianhong Wang,Weirong Chen,Hao Bai,Mohamed Benbouzid,Shukui Liu,Fei Gao.Optimal scheduling for microgrids considering long-term and short-term energy storage[J].Journal of Energy Storage,2024.
Jinliang Zhang,Ziyi Liu.Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen[J].Energy,2024.
Zhang Meijuan,Yang Jiahui,Yu Pengshuo,Tinajero Gibran David Agundis,Guan Yajuan,Yan Qingyou,Zhang Xiaochun,Guo Hongzhen.Dual-Stackelberg game-based trading in community integrated energy system considering uncertain demand response and carbon trading[J].Sustainable Cities and Society,2024.
Zhang Gang,Niu Yunyi,Xie Tuo,Zhang Kaoshe.Multi-level distributed demand response study for a multi-park integrated energy system[J].Energy Reports,2023.
Zhang Yuanyuan,Zhao Huiru,Li Bingkang,Wang Xuejie.Research on dynamic pricing and operation optimization strategy of integrated energy system based on Stackelberg game[J].International Journal of Electrical Power and Energy Systems,2022.
Wu Qunli,Li Chunxiang.Economy-environment-energy benefit analysis for green hydrogen based integrated energy system operation under carbon trading with a robust optimization model[J].Journal of Energy Storage,2022.
Braik Malik,Hammouri Abdelaziz,Atwan Jaffar,Al-Betar Mohammed Azmi,Awadallah Mohammed A..White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems[J].Knowledge-Based Systems,2022.
Ma Mingtao,Huang Huijun,Song Xiaoling,Peña-Mora Feniosky,Zhang Zhe,Chen Jie.Optimal sizing and operations of shared energy storage systems in distribution networks: A bi-level programming approach[J].Applied Energy,2022.
Wang Haiyang,Zhang Chenghui,Li Ke,Liu Shuai,Li Shuzhen,Wang Yu.Distributed coordinative transaction of a community integrated energy system based on a tri-level game model[J].Applied Energy,2021.
Ren Hui,Zhang Aiwei,Wang Fei,Yan Xihui,Li Yu,Duić Neven,Shafie-khah Miadreza,Catalão João P.S..Optimal scheduling of an EV aggregator for demand response considering triple level benefits of three-parties[J].International Journal of Electrical Power and Energy Systems,2021.
Xin Wu,Kaixin Liang,Dian Jiao.Air conditioner group collaborative method under multi-layer information interaction structure[J].Energy,2019.
Mengmeng Yu,Seung Ho Hong.Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach[J].Applied Energy,2017.
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