电工技术学报  2021, Vol. 36 Issue (zk2): 496-506    DOI: 10.19595/j.cnki.1000-6753.tces.L90356
电力系统与综合能源 |
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
赵平1,2, 赵期期1,2, 艾小猛3
1.三峡大学电气与新能源学院 宜昌 443002;
2.电力系统智能运行与安全防御宜昌市重点实验室(三峡大学) 宜昌 443002;
3.华中科技大学电气与电子工程学院 武汉 430074
Network Reconfiguration and Reactive Power Voltage Regulation Coordinated Robust Optimization for Active Distribution Network Considering Extreme Scenarios
Zhao Ping1,2, Zhao Qiqi1,2, Ai Xiaomeng3
1. College of Electrical Engineering & New Energy China Three Gorges University Yichang 443002 China;
2. Yichang Key Laboratory of Intelligent Operation and Security Defense of Power System China Three Gorges University Yichang 443002 China;
3. School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China
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摘要 随着大量可再生分布式电源接入,其出力固有的随机性,使传统的电网重构和无功优化方法难以满足配电网安全经济运行的需要。为此,提出一种基于极限场景的两阶段主动配电网重构与无功电压调整联合鲁棒优化方法。该方法采用极限场景法处理随机变量,对电网重构与无功电压调整进行联合优化,在保证经济性的同时,能有效应对可再生分布式电源出力的大幅随机波动性。首先,以系统运行网损最小为目标,建立主动配电网重构与无功电压调整联合优化模型,并采用大M法、二阶锥松弛方法将原非凸模型转换为混合整数二阶锥规划模型;然后,考虑可再生分布式电源出力的随机性,采用极限场景法,在第一阶段决策出重构方案和有载调压分接头等慢速调节设备的运行状态,从而使第二阶段的快速调节设备能应对可再生分布式电源出力的随机大幅波动;最后,在修改的IEEE 33节点配电网上进行仿真,验证了所提方法的可行性与有效性。
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关键词 主动配电网网络重构无功优化联合优化极限场景鲁棒优化    
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 wordsActive distribution network    network reconfiguration    reactive power optimization    coordination optimization    extreme scenario    robust optimization   
收稿日期: 2020-07-09     
PACS: TM71  
基金资助:国家自然科学基金资助项目(51707070)
通讯作者: 赵期期 男,1993年生,硕士研究生,研究方向为主动配电网优化运行优化技术。E-mail:1363688827@qq.com   
作者简介: 赵 平 男,1975年生,博士,讲师,研究方向为电力系统稳定控制、可再生能源并网优化运行等。E-mail:zp1975@126.com
引用本文:   
赵平, 赵期期, 艾小猛. 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[J]. 电工技术学报, 2021, 36(zk2): 496-506. Zhao Ping, Zhao Qiqi, Ai Xiaomeng. Network Reconfiguration and Reactive Power Voltage Regulation Coordinated Robust Optimization for Active Distribution Network Considering Extreme Scenarios. Transactions of China Electrotechnical Society, 2021, 36(zk2): 496-506.
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