许烽,陆翌,李莉,倪晓军,丁超,高辉,胡依林
XU Feng,LU Yi,LI Li,NI Xiaojun,DING Chao,GAO Hui,HU Yilin

• 1:国网浙江省电力有限公司电力科学研究院
• 2:国网南京供电公司
• 3:南京邮电大学

摘要(Abstract)：

提出一种针对交直流混合配电网的新型网络配置规划模型。考虑到每条支路和母线选用直流还是交流的不确定性,以及负载需求和分布式电源随机接入行为,该模型确定了交直流混合配电网支路和母线的最佳配置。模型采用蒙特卡洛仿真技术,将网络配置规划问题划分为2个嵌套优化问题来求得最优解决方案:主问题以系统建设成本和运行成本为目标函数,使用遗传算法来求得最优交直流混合配置;子问题使用经济调度细化主问题中运行成本的计算,确定遗传算法求得的每种配置的最佳潮流解决方案。算例采用含光伏、风电、储能及电动汽车的13节点待规划网络,分别采用交直流混合配置和传统交流配置对算例进行规划,并就模型有效性和相关成本节约量进行比较。结果表明,交直流混合配电网在各方面均优于传统交流配电网。
This paper proposes a new network configuration planning model for AC/DC hybrid distribution network. Given the selection uncertainty of DC and AC of each bypass and bus as well as the load demand and random access of distributed power, the model determines the optimal AC/DC hybrid configuration of the AC/DC hybrid distribution network bypass and bus. The model adopts Monte Carlo simulation technology and divide network configuration planning into two nested optimization problems to find the optimal solution: in the major problem, the system construction cost and operation cost are taken as the objective functions, and genetic algorithm is used to solve the optimal AC/DC hybrid configuration; in the sub-problem, the economic dispatch is used to refine the calculation of the operation cost in the main problem, and determine the optimal power flow solution for each configuration obtained by the genetic algorithm. The example uses a 13-node tobe-planned network containing photovoltaic, wind power, energy storage, and electric vehicles. At the same time, the AC and DC hybrid configuration and the traditional AC configuration are used to plan the examples to compare the model effectiveness and related cost savings. The results show that the AC/DC hybrid distribution network is superior to the traditional AC distribution network in all aspects.

关键词(KeyWords)： 交直流配电网;分布式电源;电动汽车;配电网规划;经济调度
AC/DC hybrid distribution network;distributed generation;electric vehicle;distribution network planning;economic dispatch

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目(5211DS170010)

作者(Author): 许烽,陆翌,李莉,倪晓军,丁超,高辉,胡依林
XU Feng,LU Yi,LI Li,NI Xiaojun,DING Chao,GAO Hui,HU Yilin

DOI: 10.19585/j.zjdl.201908013

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