考虑极限场景的主动配电网重构与无功电压调整联合鲁棒优化

doi:10.19595/j.cnki.1000-6753.tces.L90356

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (8790 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract With the integration of a large number of renewable distributed generation (RDG), the inherent randomness of its output makes it difficult for traditional network reconfiguration and reactive power optimization methods to meet the needs of safe and economic operation of distribution network. In this paper, a two-stage robust optimization method based on extreme scenarios is proposed to coordinate network reconfiguration and reactive power voltage regulation for active distribution network. The proposed approach uses extreme scenario method to deal with random variables, and then carries out coordination optimization of network reconfiguration and reactive power voltage regulation, which can effectively cope with the large random fluctuation of RDG while ensuring the economy of system operation. Firstly, aiming at minimizing the system operation network loss, network reconfiguration and reactive power voltage regulation coordination optimization model is established. The big M-approach and second-order cone relaxation are used to convert the original non-convex model into a mixed integer second-order cone programming model. Secondly, considering the random volatility of RDG, the extreme scenario method is adopted to determine the reconfiguration scheme and the operating status of slow-speed devices such as on-load tap changer in the first stage, so that the fast-speed devices can hedge against the large random fluctuation of RDG in the second stage. Finally, simulations are carried out based on a modified IEEE 33-node system, the simulation results verify the feasibility and effectiveness of the proposed method.

Key words： Active distribution network network reconfiguration reactive power optimization coordination optimization extreme scenario robust optimization

Received: 09 July 2020

PACS:

TM71

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhao Ping
	Zhao Qiqi
	Ai Xiaomeng

Cite this article:

Zhao Ping,Zhao Qiqi,Ai Xiaomeng. Network Reconfiguration and Reactive Power Voltage Regulation Coordinated Robust Optimization for Active Distribution Network Considering Extreme Scenarios[J]. Transactions of China Electrotechnical Society, 2021, 36(zk2): 496-506.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90356 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/Izk2/496

[1] 韩晓言, 丁理杰, 陈刚, 等. 梯级水光蓄互补联合发电关键技术与研究展望[J]. 电工技术学报, 2020, 35(13): 2711-2722.
Han Xiaoyan, Ding Lijie, Chen Gang, et al.Key technologies and research prospects for cascaded hydro-photovoltaic-pumped storage hybrid power generation system[J]. Transactions of China Elec-trotechnical Society, 2020, 35(13): 2711-2722.
[2] 宋倩芸. 计及多种分布式能源运行的配电网双层优化规划方法[J]. 电力系统保护与控制, 2020, 48(11): 53-61.
Song Qianyun.A bi-level optimization planning method for a distribution network considering different types of distributed generation[J]. Power System Protection and Control, 2020, 48(11): 53-61.
[3] 刘佳, 程浩忠, 姚良忠, 等. 混合输配电系统的分布式随机优化规划[J]. 电工技术学报, 2019, 34(10): 1987-1998.
Liu Jia, Cheng Haozhong, Yao Liangzhong, et al.A distributed stochastic optimization method for planning transmission and distribution systems[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 1987-1998.
[4] 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.
[5] Ding Tao, Liu Shiyu, Yuan Wei, et al.A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks[J]. IEEE Transactions on Sustainable Energy, 2016, 7(1): 301-311.
[6] 刘洪, 徐正阳, 葛少云, 等. 考虑储能调节的主动配电网有功-无功协调运行与电压控制[J]. 电力系统自动化, 2019, 43(11): 51-58.
Liu Hong, Xu Zhengyang, Ge Shaoyun, et al.Coordinated operation of active-reactive power and voltage control for active distribution network considering regulation of energy storage[J]. Automation of Electric Power Systems, 2019, 43(11): 51-58.
[7] Capitanescu F, Ochoa L F, Margossian H, et al.Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems[J]. IEEE Transactions on Power Systems, 2015, 30(1): 346-356.
[8] 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): 1263-1272.
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): 1263-1272.
[9] 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研究[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.
[10] 高红均, 刘俊勇, 沈晓东, 等. 主动配电网最优潮流研究及其应用实例[J]. 中国电机工程学报, 2017, 37(6): 1634-1645.
Gao Hongjun, Liu Junyong, Shen Xiaodong, et al.Optimal power flow research in active distribution network and its application examples[J]. Proceedings of the CSEE, 2017, 37(6): 1634-1645.
[11] Popovic D S, Popovic Z N.A risk management procedure for supply restoration in distribution networks[J]. IEEE Transactions on Power Systems, 2004, 19(1): 221-228.
[12] 于丹文, 杨明, 韩学山, 等. 计及风电概率分布特征的鲁棒实时调度方法[J]. 中国电机工程学报, 2017, 37(3): 727-738.
Yu Danwen, Yang Ming, Han Xueshan, et al.Robust real-time dispatch considering probabilistic distribution of wind generation[J]. Proceedings of the CSEE, 2017, 37(3): 727-738.
[13] Das D.A fuzzy multi-objective approach for network reconfiguration of distribution systems[J]. IEEE Transactions on Power Delivery, 2006, 21(1): 202-209.
[14] 曹益奇, 白晓清, 王婷婷, 等. 计及分布式电源随机出力的三相配电网可调鲁棒无功优化[J]. 电网技术, 2018, 42(4): 1217-1225.
Cao Yiqi, Bai Xiaoqing, Wang Tingting, et al.Adjustable robust reactive power optimization considering random distributed integration in three-phase distribution network[J]. Power System Technology, 2018, 42(4): 1217-1225.
[15] Lee C, Liu Cong, Mehrotra S, et al.Robust distribution network reconfiguration[J]. IEEE Transactions on Smart Grid, 2015, 6(2): 836-842.
[16] 孔顺飞, 胡志坚, 谢仕炜, 等. 含电动汽车充电站的主动配电网二阶段鲁棒规划模型及其求解方法[J]. 电工技术学报, 2020, 35(5): 1093-1105.
Kong Shunfei, Hu Zhijian, Xie Shiwei, et al.Two-stage robust planning model and its solution algorithm of active distribution network containing electric vehicle charging stations[J]. Transactions of China Electrotechnical Society, 2020, 35(5): 1093-1105.
[17] 张艺镨, 艾小猛, 方家琨, 等. 基于极限场景的两阶段含分布式电源的配电网无功优化[J]. 电工技术学报, 2018, 33(2): 380-389.
Zhang Yipu, Ai Xiaomeng, Fang Jiakun, et al.Two-stage reactive power optimization for distribution network with distributed generation based on extreme scenarios[J]. Transactions of China Electrotechnical Society, 2018, 33(2): 380-389.
[18] Wu Wenchuan, Tian Zhuang, Zhang Boming.An exact linearization method for OLTC of transformer in branch flow modle[J]. IEEE Transactions on Power Systems, 2017, 32(3): 2475-2476.
[19] Lavorato M, Franco J F, Rider M J, et al.Imposing radiality constraints in distribution system optimization problems[J]. IEEE Transactions on Power Systems, 2012, 27(1): 172-180.
[20] Farivar M, Low S H.Branch flow model: relaxations and convexification—part I[J]. IEEE Transactions on Power Systems, 2013, 28(3): 2554-2564.
[21] Lofberg J.YALMIP: a toolbox for modeling and optimization in MATLAB[C]//IEEE International Symposium on Computer Aided Control Systems Design, Taipei, China, 2004: 284-289.