基于广义储能的多能源系统不确定优化调度策略

doi:10.19595/j.cnki.1000-6753.tces.201151

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Abstract Considering the uncertainties of both sources and loads, a robust optimal dispatch strategy based on generalized energy storage (GES) is proposed for multi-energy power system. Firstly, a energy hub architecture considering cogeneration was utilized, to model electric and thermal energy sources in the system. Battery energy storage and heat storage tank were described by a unified state of energy model. While for virtual energy storage, normal cloud model and autoregressive moving average model were introduced to model electrical and thermal flexible loads, and the regulation characteristics of GES resources were analyzed. On this basis, adjustable robust method was introduced, and an uncertain optimal dispatch model with the lowest operating cost was established. Aimed at the uncertainties of renewable sources in this model, duality theory and Lagrangian transformation were used to transform the uncertain constraints into deterministic constraints. In addition, normal cloud generator and scene reduction technology were applied to get typical scenes, in order to deal with the uncertainties of load response. The uncertain optimal dispatch model was solved by Matlab/YALMIP toolbox, and the case studies illustrated the availability and reasonability of the proposed strategy.

Key words： Generalized energy storage multi-energy power system adjustable robust optimization normal cloud distribution dispatch strategy

Received: 06 September 2020

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TM73

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	Ye Chang
	Cao Kan
	Ding Kai
	Chen Qiao
	Qian Yimin

Cite this article:

Ye Chang,Cao Kan,Ding Kai等. Uncertain Optimal Dispatch Strategy Based on Generalized Energy Storage for Multi-Energy System[J]. Transactions of China Electrotechnical Society, 2021, 36(17): 3753-3764.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.201151 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I17/3753

[1] Rahbar K, Chai C C, Zhang R.Energy cooperation optimization in microgrids with renewable energy integration[J]. IEEE Transactions on Smart Grid, 2018, 9(2): 1482-1493.
[2] 叶林, 屈晓旭, 么艳香, 等. 风光水多能互补发电系统日内时间尺度运行特性分析[J]. 电力系统自动化, 2018, 42(4): 158-164.
Ye Lin, Qu Xiaoxu, Yao Yanxiang, et al.Analysis on intraday operation characteristics of hybrid wind-solar-hydro power generation system[J]. Automation of Electric Power Systems, 2018, 42(4): 158-164.
[3] 温正楠, 刘继春. 风光水互补发电系统与需求侧数据中心联动的优化调度方法[J]. 电网技术, 2019, 43(7): 2449-2460.
Wen Zhengnan, Liu Jichun.An optimal scheduling method for hybrid wind-solar-hydro power generation system with data center in demand side[J]. Power System Technology, 2019, 43(7): 2449-2460.
[4] 宁佳, 汤奕, 高丙团. 基于需求响应潜力时变性的风火荷协同控制方法[J]. 电工技术学报, 2019, 34(8): 1728-1738.
Ning Jia, Tang Yi, Gao Bingtuan.Coordinated control method of wind farm-AGC unit-load based on time-varying characteristics of demand response potential[J]. Transactions of China Electrotechnical Society, 2019, 34(8): 1728-1738.
[5] 孙惠娟, 蒙锦辉, 彭春华. 风-光-水-碳捕集多区域虚拟电厂协调优化调度[J]. 电网技术, 2019, 43(11): 4040-4049.
Sun Huijuan, Meng Jinhui, Peng Chunhua.Coordinated optimization scheduling of multi-region virtual power plant with wind-power/photovoltaic/ hydropower/carbon-capture units[J]. Power System Technology, 2019, 43(11): 4040-4049.
[6] 刘晓明, 牛新生, 王佰淮, 等. 能源互联网综述研究[J]. 中国电力, 2019, 49(3): 24-33.
Liu Xiaoming, Niu Xinsheng, Wang Baihuai, et al.A review on the energy internet[J]. Electric Power, 2019, 49(3): 24-33.
[7] 张雨曼, 刘学智, 严正, 等. 光伏-储能-热电联产综合能源系统分解协调优化运行研究[J]. 电工技术学报, 2020, 35(9): 210-224.
Zhang Yuman, Liu Xuezhi, Yan Zheng, et al.Decomposition-coordination based optimization for PV-BESS-CHP integrated energy systems[J]. Transactions of China Electrotechnical Society, 2020, 35(9): 210-224.
[8] 刁涵彬, 李培强, 王继飞, 等. 考虑电/热储能互补协调的综合能源系统优化调度[J]. 电工技术学报, 2020, 35(21): 4532-4543.
Diao Hanbin, Li Peiqiang, Wang Jifei, et al.Optimal dispatch of integrated energy system considering complementary coordination of electric/thermal energy storage[J]. Transactions of China Electrotechnical Society, 2020, 35(21): 4532-4543.
[9] Zhang X, Shahidehpour M, Alabdulwahab A, et al.Optimal expansion planning of energy hub with multiple energy infrastructures[J]. IEEE Transactions on Smart Grid, 2015, 6(5): 2302-2311.
[10] Huang Wujing, Zhang Ning, Yang Jingwei, et al.Optimal configuration planning of multi-energy systems considering distributed renewable energy[J]. IEEE Transactions on Smart Grid, 2017:1452-1464.
[11] 陈柏翰, 冯伟, 孙凯, 等. 冷热电联供系统多元储能及孤岛运行优化调度方法[J]. 电工技术学报, 2019, 34(15): 3231-3243.
Chen Pohan, Feng Wei, Sun Kai, et al.Multi-energy storage system and islanded optimal dispatch method of CCHP[J]. Transactions of China Electrotechnical Society, 2019, 34(15): 3231-3243.
[12] 盛万兴, 李鹏华, 段青, 等. 基于Lyapunov优化方法的含能量路由器的能源集线器能量管理策略研究[J]. 中国电机工程学报, 2019, 39(21): 6212-6224.
Sheng Wanxing, Li Penghua, Duan Qing, et al.Research on energy management strategy of energy hub with energy router based on Lyapunov optimization method[J]. Proceedings of the CSEE, 2019, 39(21): 6212-6224.
[13] 马腾飞,吴俊勇,郝亮亮, 等. 基于能源集线器的微能源网能量流建模及优化运行分析[J]. 电网技术, 2018, 42(1): 179-186.
Ma Tengfei, Wu Junyong, Hao Liangliang, et al.Energy flow modeling and optimal operation analysis of micro energy grid based on energy hub[J]. Power System Technology, 2018, 42(1): 179-186.
[14] 郝然, 艾芊, 朱宇超, 等. 基于能源集线器的区域综合能源系统分层优化调度[J]. 电力自动化设备, 2017, 37(6): 171-178.
Hao Ran, Ai Qian, Zhu Yuchao, et al.Hierarchical optimal dispatch based on energy hub for regional integrated energy system[J]. Electric Power Automation Equipment, 2017, 37(6): 171-178.
[15] 郑亚锋, 魏振华, 王春雨. 计及储热装置的综合能源系统分层优化调度[J]. 中国电机工程学报, 2019, 39(增刊1): 36-43.
Zheng Yafeng, Wei Zhenhua, Wang Chunyu.Hierarchical optimal dispatch for integrated energy system with thermal storage device[J]. Proceedings of the CSEE, 2019, 39(S1): 36-43.
[16] Huo Da, Gu Chenghong, Ma Kang, et al.Chance-constrained optimization for multienergy hub systems in a smart city[J]. IEEE Transactions on Industrial Electronics, 2019, 66(2): 1402-1412.
[17] Jadidbonab M, Dolatabadi A, Mohammadi-Ivatloo B, et al.Risk-constrained energy management of PV integrated smart energy hub in the presence of demand response program and compressed air energy storage[J]. IET Renewable Power Generation, 2019, 13(6): 998-1008.
[18] 茆美琴, 刘云晖, 张榴晨, 等. 含高渗透率可再生能源的配电网广义储能优化配置[J]. 电力系统自动化, 2019, 43(8): 77-85.
Mao Meiqin, Liu Yunhui, Zhang Liuchen, et al.Optimal configuration of generalized energy storage in distribution network with high-penetration renewable energy[J]. Automation of Electric Power Systems, 2019, 43(8): 77-85.
[19] 程林, 齐宁, 田立亭. 考虑运行控制策略的广义储能资源与分布式电源联合规划[J]. 电力系统自动化, 2019, 43(10): 27-35.
Cheng Lin, Qi Ning, Tian Liting.Joint planning of generalized energy storage resource and distributed generator considering operation control strategy[J]. Automation of Electric Power Systems, 2019, 43(10): 27-35.
[20] 李宏仲, 房宇娇, 肖宝辉. 考虑广义储能的区域综合能源系统优化运行研究[J].电网技术, 2019, 43(9): 3130-3138.
Li Hongzhong, Fang Yujiao, Xiao Baohui.Research on optimized operation of regional integrated energy system considering generalized energy storage[J]. Power System Technology, 2019, 43(9): 3130-3138.
[21] 曾飞. 燃气轮机冷热电联产系统多目标优化配置与运行策略研究[D]. 广州: 华南理工大学, 2013.
[22] 崔杨, 张家瑞, 仲悟之, 等. 计及电热转换的含储热光热电站与风电系统优化调度[J]. 中国电机工程学报, 2020, 40(20): 6482-6494.
Cui Yang, Zhang Jiarui, Zhong Wuzhi, et al.Optimal scheduling of concentrating solar power plant with thermal energy storage and wind farm considering electric-thermal conversion[J]. Proceedings of the CSEE, 2020, 40(20): 6482-6494.
[23] 叶畅. 应对高渗透率分布式电源接入的主动配电网优化调度方法研究[D]. 武汉: 华中科技大学, 2019.
[24] 付林, 江亿. 承担采暖负荷的背压机组电力调峰优化运行[J]. 中国电机工程学报, 2000, 20(3): 80-87.
Fu Lin, Jiang Yi.Optimal operation of back-pressure units for space heating[J]. Proceedings of the CSEE, 2000, 20(3): 80-87.
[25] 彭春华, 谢鹏, 陈臣. 大规模光伏电站接入电网可调节鲁棒优化调度[J]. 中国电机工程学报, 2014, 34(25): 4324-4332.
Peng Chunhua, Xie Peng, Chen Chen.Adjustable robust optimal dispatch of power system with large-scale photovoltaic power stations[J]. Proceedings of the CSEE, 2014, 34(25): 4324-4332.
[26] 邢可霞, 郭怀成. 环境模型不确定性分析方法综述[J]. 环境科学与技术, 2006, 29(5): 112-115.
Xing Kexia, Guo Huaicheng.Review on uncertainty analysis methods in environment model[J]. Environmental Science and Technology, 2006, 29(5): 112-115.
[27] 高亚静, 李瑞环, 梁海峰, 等. 考虑间歇性电源与负荷不确定性情况下基于多场景技术的主动配电系统两步优化调度[J]. 中国电机工程学报, 2015, 35(7): 1657-1665.
Gao Yajing, Li Ruihuan, Liang Haifeng, et al.Two step optimal dispatch based on multiple scenarios technique considering uncertainties of intermittent distributed generations and loads in the active distribution system[J]. Proceedings of the CSEE, 2015, 35(7): 1657-1665.
[28] 叶畅, 苗世洪, 李姚旺, 等. 基于改进不确定边界的主动配电网鲁棒优化调度[J]. 电工技术学报, 2019, 34(19): 4084-4095.
Ye Chang, Miao Shihong, Li Yaowang, et al.Robust optimal scheduling for active distribution network based on improved uncertain boundary[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4084-4095.
[29] 邹云阳, 杨莉, 冯丽, 等. 考虑热负荷二维可控性的微网热电协调调度[J]. 电力系统自动化, 2017, 41(6): 13-19.
Zou Yunyang, Yang Li, Feng Li, et al.Coordinated heat and power dispatch of microgrid considering two-dimensional controllability of heat loads[J]. Automation of Electric Power Systems, 2017, 41(6): 13-19.