文章摘要
马丽叶,王玉翠,王楚通.主动配电网中计及网络重构的分布式电源鲁棒规划[J].电力系统自动化,2018,42(11):94-101. DOI: 10.7500/AEPS20171228011.
MA Liye,WANG Yucui,WANG Chutong.Robust Planning of Distributed Generators in Active Distribution Network Considering Network Reconfiguration[J].Automation of Electric Power Systems,2018,42(11):94-101. DOI: 10.7500/AEPS20171228011.
主动配电网中计及网络重构的分布式电源鲁棒规划
Robust Planning of Distributed Generators in Active Distribution Network Considering Network Reconfiguration
DOI:10.7500/AEPS20171228011
关键词: 主动配电网  分布式电源规划  网络重构  鲁棒规划  双层优化
KeyWords: active distribution network  distributed generator planning  network reconfiguration  robust planning  bi-level optimization
上网日期:2018-04-24
基金项目:国家自然科学基金青年基金资助项目(61304183);河北省自然科学基金资助项目(E2013203113)
作者单位E-mail
马丽叶 燕山大学电气工程学院, 河北省秦皇岛市 066004  
王玉翠 燕山大学电气工程学院, 河北省秦皇岛市 066004 2528623877@qq.com 
王楚通 燕山大学电气工程学院, 河北省秦皇岛市 066004  
摘要:
      网络重构作为主动配电网(ADN)中优化潮流、减小网损的重要手段,有必要在规划阶段进行考虑。为此,在电源规划中计及网络重构,以年综合费用最小为目标函数,除传统分布式电源(DG)规划约束,还考虑了风电和光伏发电的运行约束、重构次数限制约束,以及DG的渗透率约束,并针对风速、光照和负荷的不确定性,给出了“风—光—负荷”的不确定场景集,建立了主动配电网中计及网络重构的DG鲁棒优化模型。同时,针对模型特点,利用双层优化方法对其进行分解,并采用粒子群优化(PSO)算法和二进制粒子群优化(BPSO)算法分别对上、下两层规划模型进行求解。最后,采用IEEE 33节点系统对模型进行算例仿真,分析了网络重构和鲁棒性对DG规划方案、系统经济性及可靠性的影响,验证了该模型的有效性。
Abstract:
      As an important way to optimize power flow and reduce network loss in the active distribution network(ADN), network reconfiguration is necessary to be considered in the planning stage. Therefore, the network reconfiguration is considered in the generator planning stage and the minimum comprehensive cost is taken as the objective function. In addition to various traditional planning constraints of distribution generator, the operation constraints of wind power and photovoltaic power generation together with the number constraints of reconfiguration and the permeability constraints of distributed generators are also considered in the planning stage. In view of the wind speed, light intensity and load uncertainty, a “wind-photovoltaic-load” uncertain scenario set is given and a robust optimization model for distributed generators in active distribution network is built considering the network reconfiguration. According to the model characteristics, a double-layer optimization method is used to decompose the model, and the particle swarm optimization(PSO)and the binary particle swarm optimization(BPSO)algorithm are used to solve the up layer and down layer of the programming model, respectively. By the simulation in an IEEE 33-node system, the influence of network reconfiguration and robustness on the distributed generator planning, system economy and reliability is analyzed, and the validity of the model is verified.
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