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考虑模拟退火算法的多阶段主动配电网规划模型
引用本文:宫建锋,周宗川,韩一鸣,胡志冰,郭宁.考虑模拟退火算法的多阶段主动配电网规划模型[J].现代科学仪器,2022(1).
作者姓名:宫建锋  周宗川  韩一鸣  胡志冰  郭宁
作者单位:国网宁夏电力有限公司经济技术研究院
基金项目:国网宁夏电力有限公司经济技术研究院专题研究项目(SGNXJY00DGJS2000023)。
摘    要:为了提高多阶段主动配电网的规划能力,提出基于模拟退火算法的多阶段主动配电网规划模型。进行配电网规划的最优路径配置,结合输出功耗的自适应分配方法进行节点部署。构建多阶段主动配电网规划的参数解析模型,实现多阶段主动配电网规划过程中的寻优控制。通过结合模拟退火算法构建多阶段主动配电网规划模型,完成模拟退火寻优,进而实现多阶段主动配电网规划。仿真结果表明,采用该方法进行多阶段主动配电网规划的自适应调度能力较好,负载均衡能力较强,能够提高多阶段主动配电网规划的可靠性。

关 键 词:模拟退火算法  多阶段主动配电网  规划模型  节点部署  模拟退火寻优

Multi-stage active distribution network planning model considering simulated annealing algorithm
Gong Jianfeng,Zhou Zongchuan,Han Yiming,Hu Zhibing,Guo Ning.Multi-stage active distribution network planning model considering simulated annealing algorithm[J].Modern Scientific Instruments,2022(1).
Authors:Gong Jianfeng  Zhou Zongchuan  Han Yiming  Hu Zhibing  Guo Ning
Affiliation:(State Grid Ningxia Electric Power Co.,Ltd.Economic and Technical Research Institute,Yinchuan 750000,Chian)
Abstract:In order to improve the planning ability of multi-stage active distribution network,a multi-stage active distribution network planning model based on simulated annealing algorithm is proposed.The optimal path configuration of distribution network planning is carried out,and the node deployment is carried out with the adaptive allocation method of output power.The parameter analytical model of multi-stage active distribution network planning is constructed to realize the optimal control in the process of multi-stage active distribution network planning.The multi-stage active distribution network planning model is constructed by combining simulated annealing algorithm to complete simulated annealing optimization,and then multi-stage active distribution network planning is realized.The simulation results show that the adaptive scheduling ability and load balancing ability of this method are better,and the reliability of multi-stage active distribution network planning can be improved.
Keywords:Simulated annealing algorithm  multistage active distribution network  planning model  node deployment  simulated annealing optimization
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