| 引用本文: | 毛文晋,李红伟,李超.一种考虑DG出力优化分配的配电网重构方法[J].电力系统保护与控制,2017,45(13):57-63.[点击复制] |
| MAO Wenjin,LI Hongwei,LI Chao.A distribution system reconfiguration method considering the optimal active power dispatching of DGs[J].Power System Protection and Control,2017,45(13):57-63[点击复制] |
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| 摘要: |
| 分布式电源接入(DG)电网将变为常态，提出了一种考虑DG出力优化分配的以降低系统网损为优化目标的重构算法。首先基于DG的发电成本，采用复制动态算法(Replicator Dynamics, RD)离散化求解，经过进化博弈之后获得DG出力的优化分配。然后，分三个优化过程实现配电网的优化重构求解。初始优化利用最小生成树算法寻找一个较优的初始解，二次优化基于改进的启发式规则对候选开关进行评价得到最优开关及二次优化解。经过第三个优化过程的修正，一般可以得到最优重构方案。算法不依赖网络的初始拓扑；改进的启发式规则可以减少待评价候选开关的数量，提高算法的计算效率；而通过修正可克服环路对进化规则的影响，得到(近似)最优解。两个典型算例结果检验了算法的有效性和可行性。 |
| 关键词: 配电网重构 分布式发电 复制者动态 最小生成树 启发式规则 |
| DOI：10.7667/PSPC1601026 |
| 投稿时间：2016-07-17修订日期：2016-09-08 |
| 基金项目:国家重点基础研究发展计划(973计划)资助(2013CB228203);四川省统计科学研究计划项目(2014SC52);四川省教育厅重点项目(15ZA0058) |
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| A distribution system reconfiguration method considering the optimal active power dispatching of DGs |
| MAO Wenjin,LI Hongwei,LI Chao |
| (School of Economics and Management, Southwest Petroleum University, Chengdu 610500, China;School of Electrical Information Engineering, Southwest Petroleum University, Chengdu 610500, China;Xinjiang Petroleum Engineering Co., Ltd., China Petroleum Engineering & Construction Corporation CPECC, Karamay 834000, China) |
| Abstract: |
| The integration of distributed generations (DG) into the distribution will become much more common. This paper introduces a distribution network reconfiguration method with the goal of minimizing the active power loss and considering the optimal active power dispatching of DGs. First, based on the power generation cost of DG, the optimization dynamic power dispatch of DGs is obtained with replicator dynamics (RG) based discretization’s algorithm. Then, the reconfiguration is realized with three optimization procedures. The preliminary optimization gets a local optimal solution based on MST algorithm. The secondary optimization gets the alternative optimal solution based on improved heuristic rules. And during the third procedure, the optimal solution can generally be obtained through correcting the results. The algorithm does not rely on the initial network topology. Combining the local optimal solution and the improved heuristic rules, the algorithm can significantly reduce the amount of the candidate switches needed to be evaluated. The modification can overcome the influence to the heuristic rules from loops and get the (approximate) optimal solution. Two typical test systems, i.e. 33-bus system and 69-bus system, verify the feasibility and effectiveness of the proposed method. |
| Key words: distribution system reconfiguration distributed generations replicator dynamics minimum spanning tree (MST) improved heuristic rules |
