基于柔性多状态开关互联的微配网一体化规划及运行评估

doi:10.19595/j.cnki.1000-6753.tces.L90174

Abstract
Figure/Table
References
Related Citation (2)

Download: PDF (9002 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Flexible multi-state switch（FMS）is a new type of power electronic equipment for future micro-distribution network. It can not only improve the power flow distribution and the permeability of distributed power supply, but also realize the flexible reconnection of the micro networks after the islanding operation with minor impacts. Considering its high cost, given the active distribution network composed of multiple micro networks interconnected by FMSs, the access location and timing operation values of the FMSs were explored with the operation economy as the target. Firstly, the constraint conditions of the active distribution network containing FMSs were established. Meanwhile the objective function including the electricity cost of distribution network, installation and maintenance costs of the FMSs and energy storages was established. On this basis, the nonlinear items in the distribution network model were linearized and the second order cone transformations were conducted to improve the solving efficiency of the planning problem. Finally, the objective function was solved given the constraint conditions, and different schemes were compared through the operation economy index and node voltage offset, and the optimal installation and operation scheme was obtained. Moreover, through typical scene analysis, transient simulation of grid-connection of micro networks and algorithm comparison, the effectiveness of FMSs for improving the operation level of micro-distribution networks and the efficiency of the solving algorithm were verified.

Key words： Flexible multi-state switch micro-distribution network economic scheduling non-impulse grid connection

Received: 30 June 2020

PACS:

TM726

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Li Zhengtian
	Ye Yuqing
	Wang Zixuan
	Wu Yuqi
	Xu Haibo

Cite this article:

Li Zhengtian,Ye Yuqing,Wang Zixuan等. Integrated Planning and Operation Evaluation of Micro-Distribution Network Based on Flexible Multi-State Switch Interconnection[J]. Transactions of China Electrotechnical Society, 2021, 36(zk2): 487-495.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90174 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/Izk2/487

[1] 李海啸, 周林. 含分布式光伏接入的辐射型配电网快速潮流计算[J]. 电工技术学报, 2019, 34(19): 4119-4134.
Li Haixiao, Zhou Lin.Fast power flow calculation for radiation distribution network with distributed photovoltaic access[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4119-4134.
[2] 李翔宇, 赵冬梅. 市场机制下多微电网多时间尺度优化调度研究[J]. 电机与控制学报, 2020, 24(7): 29-38.
Li Xiangyu, Zhao Dongmei.Multi-time scale optimal scheduling strategy of multi-microgrid based on market mechanism[J]. Electric Machines and Control, 2020, 24(7): 29-38.
[3] 张海燕, 王杰. 不平衡电网电压下双馈风力发电机高阶滑模控制方法[J]. 电机与控制学报, 2019, 23(4): 37-48.
Zhang Haiyan, Wang Jie.High-order sliding mode control method for doubly-fed wind power generator under unbalanced grid voltage[J]. Electric Machines and Control, 2019, 23(4): 37-48.
[4] Zhang Xing, Wang Mingda, Zhao Tao, et al.Topological comparison and analysis of medium-voltage and high-power direct-linked PV inverter[J]. CES Transactions on Electrical Machines and Systems. 2019, 3(4): 327-334.
[5] 丛鹏伟, 唐巍, 娄铖伟, 等. 含高渗透率可再生能源的主动配电网两阶段柔性软开关与联络开关协调优化控制[J]. 电工技术学报, 2019, 34(6): 149-158.
Cong Pengwei, Tang Wei, Lou Chengwei, et al.Two-stage coordination optimization control of soft open point and tie switch in active distribution network with high penetration renewable energy generation[J]. Transactions of China Electrotechnical Society, 2019, 34(6): 149-158.
[6] 贾冠龙, 陈敏, 赵斌, 等. 柔性多状态开关在智能配电网中的应用[J]. 电工技术学报, 2019, 34(8): 206-214.
Jia Guanlong, Chen Min, Zhao Bin, et al.Application of flexible multi-state switch in intelligent distribution network[J]. Transactions of China Electrotechnical Society, 2019, 34(8): 206-214.
[7] 吕知彼, 裴雪军, 王朝亮, 等. 基于柔性多状态开关的配电网电压波动越限抑制方法[J]. 电力系统自动化, 2019, 43(12): 150-160.
Lü Zhibi, Pei Xuejun, Wang Chaoliang, et al.A voltage over-limit suppression method based on soft normally-open point in distribution network[J]. Automation of Electric Power Systems, 2019, 43(12): 150-160.
[8] 蔡云旖, 屈子森, 杨欢, 等. 柔性多状态开关改进型下垂控制策略[J]. 电网技术, 2019, 43(7): 2488-2497.
Cai Yunyi, Qu Zisen, Yang Huan, et al.Research on improved droop control strategy for soft open point[J]. Power System Technology, 2019, 43(7): 2488-2497.
[9] 娄铖伟, 张筱慧, 丛鹏伟, 等. 含柔性软开关的有源配电网故障恢复策略[J]. 电力系统自动化, 2018, 42(1): 23-31.
Lou Chengwei, Zhang Xiaohui, Cong Pengwei, et al.Service restoration strategy of active distribution network with soft open points[J]. Automation of Electric Power Systems, 2018, 42(1): 23-31.
[10] 董旭柱, 刘志文, 李鹏, 等. 基于多端柔性多状态开关的智能配电网调控技术[J]. 中国电机工程学报, 2018, 38(增刊1): 86-92.
Dong Xuzhu, Liu Zhiwen, Li Peng, et al.Intelligent distribution network control technology based on multi-terminal flexible distribution switch[J]. Proceedings of the CSEE, 2018, 38(S1): 86-92.
[11] 窦晓波, 皇甫霄文, 全相军, 等. 交直流配电网柔性多状态开关电压自适应控制策略[J]. 电力系统自动化, 2021, 45(8): 68-76.
Dou Xiaobo, Huangfu Xiaowen, Quan Xiangjun, et al.Voltage adaptive control strategy for soft normally open point in AC/DC distribution network[J]. Automation of Electric Power System, 2021, 45(8): 68-76.
[12] 张国荣, 侯立凯, 彭勃, 等. 柔性多状态开关反馈线性化滑模控制[J]. 电力系统自动化, 2020, 44(1): 126-133.
Zhang Guorong, Hou Likai, Peng Bo, et al.Feedback linearization sliding mode control strategy for soft open point[J]. Automation of Electric Power System, 2020, 44(1): 126-133.
[13] 张今, 江全元, 周自强, 等. 含柔性多状态开关的配电网分区方法[J]. 电力建设, 2019, 40(2): 71-78.
Zhang Jin, Jiang Quanyuan, Zhou Ziqiang, et al.A partitioning method for distribution network with flexible multi-state swithes[J]. Electric Power Construction, 2019, 40(2): 71-78.
[14] 王成山, 孙充勃, 李鹏, 等. 基于SNOP的配电网运行优化及分析[J]. 电力系统自动化, 2015, 39(9): 82-87.
Wang Chengshan, Sun Chongbo, Li Peng, et al.SNOP-based operation optimization and analysis of distribution networks[J]. Automation of Electric Power System, 2015, 39(9): 82-87.
[15] 王成山, 宋关羽, 李鹏, 等. 一种联络开关和智能软开关并存的配电网运行时序优化方法[J]. 中国电机工程学报, 2016, 36(9): 2315-2321.
Wang Chengshan, Song Guanyu, Li Peng, et al.A hybrid optimization method distribution network operation with SNOP and tie switch[J]. Proceedings of the CSEE, 2016, 36(9): 2315-2321.
[16] 赵金利, 李雨薇, 李鹏, 等. 基于二阶锥规划的有源配电网SNOP电压无功时序控制方法[J]. 高电压技术, 2016, 42(7): 2134-2141.
Zhao Jinli, Li Yuwei, Li Peng, et al.Sequential voltage regulation of normally open point in active distribution network based on second-order cone programming[J]. High Voltage Engineering, 2016, 42(7): 2134-2141.
[17] 王成山, 宋关羽, 李鹏, 等. 考虑分布式电源运行特性的有源配电网智能软开关SOP规划方法[J]. 中国电机工程学报, 2017, 37(7): 1889-1897.
Wang Chengshan, Song Guanyu, Li Peng, et al.Optimal configuration of soft open point for active distribution network considering the characteristics of distributed generation[J]. Proceedings of the CSEE, 2017, 37(7): 1889-1897.
[18] 何仰赞, 温增银. 电力系统分析[M]. 3版. 武汉: 华中科技大学出版社, 2002.
[19] 李超, 苗世洪, 盛万兴, 等. 考虑动态网络重构的主动配电网优化运行策略[J]. 电工技术学报, 2019, 34(18): 3909-3919.
Li Chao, Miao Shihong, Sheng Wanxing, et al.Optimization operation strategy of active distribution network considering dynamic network reconfiguration[J]. Transactions of China Electrotechnical Society, 2019, 34(18): 3909-3919.
[20] 巨云涛, 黄炎, 张若思. 基于二阶锥规划凸松弛的三相交直流混合主动配电网最优潮流[J]. 电工技术学报, 2021, 36(9): 1866-1875.
Ju Yuntao, Huang Yan, Zhang Ruosi.Optimal power flow of three-phase hybrid AC-DC in active distribution network based on second order cone programming[J]. Transactions of China Electrotechnical Society, 2021, 36(9): 1866-1875.
[21] Lawder M T, Suthar B, Northrop P W C, et al. Battery energy storage system (BESS) and battery management system(BMS) for grid-scale applications[J]. Pro-ceedings of the IEEE, 2014, 102(6): 1014-1030.
[22] 王一依. 考虑配电网潮流的多点充/换/储优化控制策略研究[D]. 北京: 北京交通大学, 2016.
[23] 魏繁荣, 随权, 林湘宁, 等. 考虑可转移负荷效率的风/光/柴/蓄孤岛微网日运行能量控制优化策略[J]. 中国电机工程学报, 2018, 38(4): 1045-1053.
Wei Fanrong, Sui Quan, Lin Xiangning, et al.Optimized energy control strategy about daily operation of island microgrid with wind/photovoltaic/diesel/battery under consideration of transferable load efficiency[J]. Proceedings of the CSEE, 2018, 38(4): 1045-1053.
[24] Moghaddam E M, Nayeripour M, Aghaei J, et al.Interactive robust model for energy service providers integrating demand response programs in wholesale markets[J]. IEEE Transactions on Smart Grid, 2018, 9(4): 2681-2690.