Research on Intra-Day Dispatch of Multi-Connected Microgrids Based on Hybrid Energy Storage
Yan Ning1, Pan Xiao2, Zhang Mingli2, Ma Shaohua1, Li Wei1, Zhang Bo1
1. School of Electrical Engineering Shenyang University of Technology Shenyang 110870 China; 2. State Grid Liaoning Electric Power Company Limited Economic Research InstituteShenyang 110015 China
Abstract：Energy storage system is an important unit for the economic dispatch of multi- connected microgrids, according to the demand for energy storage systems in multi-connected microgrids, a rolling dispatch method of multi-connected microgrids based on hybrid energy storage is proposed. Firstly, the influence of the uncertainty of distributed power supply on the microgrid-level economic dispatch decision is considered, a SOC security margin constrained scheduling method based on life degradation model is also proposed, it effectively prolongs the operating life of the energy storage system; Secondly, a distributed energy output cost model of energy storage system is established, the cost penalty factor with insufficient capacity is also added to further improve the accuracy of scheduling; Finally, the rolling dispatch method is used to effectively regulate the reserve capacity of the entire multi-connected microgrids, the accuracy of multi-connected microgrids intra-day scheduling is more accurately improved.
颜宁, 潘霄, 张明理, 马少华, 厉伟, 张博. 基于复合储能的多互联微电网日内调度研究[J]. 电工技术学报, 2018, 33(zk2): 577-585.
Yan Ning, Pan Xiao, Zhang Mingli, Ma Shaohua, Li Wei, Zhang Bo. Research on Intra-Day Dispatch of Multi-Connected Microgrids Based on Hybrid Energy Storage. Transactions of China Electrotechnical Society, 2018, 33(zk2): 577-585.
[1] 王健, 谢桦, 孙健. 基于机会约束规划的主动配电网能量优化调度研究[J]. 电力系统保护与控制, 2014, 42(13): 46-52. Wang Jian, Xie Hua, Sun Jian.Study on energy dispatch strategy of active distribution network using chance-constrained programming[J]. Power System Protection and Control, 2014, 42(13): 46-52. [2] Shi Wenbo, Xie Xiaorong, Chu Chicheng, et al.Distributed optimal energy management in micro- grids[J]. IEEE Transactions on Smart Grid, 2015, 6(3): 1137-1146. [3] 王威, 黄大为. 含可调度分布式电源的配电网综合优化[J]. 电工技术学报, 2015, 30(12): 429-433. Wang Wei, Huang Dawei.The coordination optimi- zation of distribution networks with dispatched distributed generators[J]. Transactions of China Elec- trotechnical Society, 2015, 30(12): 429-433. [4] 郭思琪, 袁越, 张新松, 等. 多时间尺度协调控制的独立微网能量管理策略[J]. 电工技术学报, 2014, 29(2): 122-129. Guo Siqi, Yuan Yue, Zhang Xinsong, et al.Energy management strategy of isolated microgrid based on multi-time scale coordinated control[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 122-129. [5] 孙浩, 张磊, 许海林, 等. 微电网日内调度计划的混合整数规划模型[J]. 电力系统自动化, 2015, 39(19): 21-27. Sun Hao, Zhang Lei, Xu Hailin, et al.Mixed integer programming model for microgrid intra-day scheduling[J]. Automation of Electric Power Systems, 2015, 39(19): 21-27. [6] Keil P, Englberger M, Jossen A.Hybrid energy storage systems for electric vehicles: an experimental analysis of performance improvements at subzero temperatures[J]. IEEE Transactions on Vehicular Technologys, 2016, 65(3): 998-1006. [7] 刘方, 杨秀, 时珊珊, 等. 不同时间尺度下基于混合储能调度的微网能量优化[J]. 电网技术, 2014, 38(11): 3079-3087. Liu Fang, Yang Xiu, Shi Shanshan, et al.Hybrid energy storage scheduling based microgrid energy optimization under different time scales[J]. Power System Technology, 2014, 38(11): 3079-3087. [8] Yi Peizhong, Dong Xihua, Iwayemi A, et al.Real- time opportunistic scheduling for residential demand response[J]. IEEE Transactions on Smart Grid, 2013, 4(1): 227-234. [9] Zhao Chaoyue, Wang Jianhui, Watson J P, et al.Multi-stage robust unit commitment considering wind and demand response uncertainties[J]. IEEE Transa- ctions on Power Systems, 2013, 28(3): 2708-2717. [10] 江润洲, 邱晓燕, 李丹, 等. 含储能系统的多微网智能配电系统经济运行[J]. 电网技术, 2013, 37(12): 3596-3602. Jiang Runzhou, Qiu Xiaoyan, Li Dan, et al.Economic operation of smart distribution network containing multi microgrids and energy storage system[J]. Power System Technology, 2013, 37(12): 3596-3602. [11] 张晓雪, 牛焕娜, 赵静翔. 含微电网的配电网优化调度[J]. 电工技术学报, 2017, 32(7): 165-173. Zhang Xiaoxue, Niu Huanna, Zhao Jingxiang.Optimal dispatch method of distribution network with microgrid[J]. Transactions of China Electrotechnical Society, 2017, 32(7): 165-173. [12] 金立军, 侯珂, 程逸帆. 基于Pareto支配法的微电网多目标能量优化短时调度策略研究[J]. 电工技术学报, 2017, 31(增刊2): 167-175. Jin Lijun, Hou Ke, Cheng Yifan.Study on short-term scheduling strategy for multi-objective energy optimization of microgrid based on pareto domi- nation[J]. Transactions of China Electrotechnical Society, 2017, 31(S2): 167-175. [13] 吴雄, 王秀丽, 王建学, 等. 微网经济调度问题的混合整数规划方法[J]. 中国电机工程学报, 2013, 33(28): 1-9. Wu Xiong, Wang Xiuli, Wang Jianxue, et al.Economic generation scheduling of a microgrid using mixed integer programming[J]. Proceedings of the CSEE, 2013, 33(28): 1-9. [14] 杨艳红, 裴玮, 邓卫, 等. 计及蓄电池储能寿命影响的微电网日前调度优化[J]. 电工技术学报, 2015, 30(22): 172-180. Yang Yanhong, Pei Wei, Deng Wei, et al.Day-ahead scheduling optimization for microgrid with battery life model[J]. Transactions of China Electrotechnical Society, 2015, 30(22): 172-180. [15] 贾科, 陈奕汝, 毕天姝, 等. 微网中储能系统的能量管控方法[J]. 中国电机工程学报, 2016, 36(10): 2665-2673. Jia Ke, Chen Yiru, Bi Tianshu, et al.Smart energy management for battery storage system in a micro- grid[J]. Proceedings of the CSEE, 2016, 36(10): 2665-2673. [16] 田崇翼, 张承慧, 李珂, 等. 含压缩空气储能的微网复合储能技术及其成本分析[J]. 电力系统自动化, 2015, 39(10) : 36-41. Tian Chongyi, Zhang Chenghui, Li Ke, et al.Com- posite energy storage technology with compressed air energy storage in microgrid and its cost analysis[J]. Automation of Electric Power Systems, 2015, 39(10): 36-41. [17] 田培根, 肖曦, 丁若星, 等. 自治型微电网群多元复合储能系统容量配置方法[J]. 电力系统自动化, 2013, 37(1): 168-173. Tian Peigen, Xiao Xi, Ding Ruoxing, et al.A capacotu configuring method of composite energy storage system in autonomous multi-microgrid[J]. Automation of Electric Power Systems, 2013, 37(1): 168-173.
2018, Vol. 33 
