| 引用本文: | 初壮,窦孝祥,于群英.考虑风电随机性的多场景配电网重构[J].电力系统保护与控制,2017,45(1):132-138.[点击复制] |
| CHU Zhuang,DOU Xiaoxiang,YU Qunying.Multi scene distribution network reconfiguration considering the randomness of wind power[J].Power System Protection and Control,2017,45(1):132-138[点击复制] |
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| 摘要: |
| 配电网重构是配电网优化运行的一项重要措施，分布式电源(Distributed Generation，DG)以其清洁性和可再生性越来越多地被引入到配电网重构中。针对出力随机的DG对配电网重构的影响，将基于wasserstein距离指标的场景划分法引入到配电网重构中，将风电划分为多个场景。在兼顾风电随机性以及负荷波动性的条件下，提出了基于二进制粒子群算法的最优方案确定策略，建立了配电网重构模型。提出基于排同存异的环路编码及初始种群生成策略，提高了计算效率。在IEEE33节点配电网系统下对所建立的模型进行求解，验证了所提策略的可行性和有效性，并得到了同时适应风电随机性以及负荷波动性的最优重构方案。 |
| 关键词: 配电网重构 wasserstein距离 风电随机性 负荷波动性 二进制粒子群算法 |
| DOI：10.7667/PSPC160035 |
| 投稿时间：2016-01-07修订日期：2016-02-23 |
| 基金项目: |
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| Multi scene distribution network reconfiguration considering the randomness of wind power |
| CHU Zhuang,DOU Xiaoxiang,YU Qunying |
(School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China
;Electric Power Research Institute, State Grid Jilin Electric Power Ltd., Changchun 130021, China) |
| Abstract: |
| Distribution network reconfiguration is an important measure for optimal operation of distribution network. Because of its clean and renewable distributed generation, it is more and more introduced to distribution network reconfiguration. In view of the output random DG's influence on the distribution network reconfiguration, the scene division method based on wasserstein distance index is introduced into the distribution network reconfiguration and the wind power is divided into a number of scenes. Considering the randomness of wind power and load fluctuations, this paper puts forward the optimal scheme to determine strategy based on binary particle swarm optimization algorithm and establishes the model of distribution network reconfiguration. A loop coding and initial population generation strategy is put forward based on the rule “out the same and reserve the different”, the computation efficiency is improved. The established model is solved in the IEEE33 node distribution network system. The feasibility and effectiveness of the proposed strategy are verified and an optimal reconstruction scheme is obtained, which is adapted to the randomness of wind power and the load fluctuation. |
| Key words: distribution network reconfiguration wasserstein distance randomness of wind power load fluctuation binary particle swarm optimization algorithm |
