中国电力2017，Vol.50Issue(4)：66-70,76,6.DOI:10.11930/j.issn.1004-9649.2017.04.066.05
基于两种仿生算法的低碳主动配电网规划
Low-Carbon Active Distribution Network Planning based on Two Bionic Algorithms
李昱佳 1董川1
作者信息
- 1. 天津大学 智能电网教育部重点实验室,天津 300072
- 折叠
摘要
Abstract
Distributed generation (DG) brings many new challenges to future distribution network planning.Based on the traditional distribution network planning,a new planning is made for active distribution networks with related standards taken into account.In the process of network planning,the power grids that are in operation and the output of distributed generation are selected as optimization variables while the environmental cost caused by power network carbon emission is set as evaluation criteria.By taking the 14-bus system as an example,the genetic algorithm (GA) and cuckoo search (CS) algorithm are combined and improved according to the actual situation of power network.Finally,in the MATLAB environment,the MATPOWER is used as a flow calculation tool to achieve the low-carbon planning of active distribution network.The results of case study show that the proposed planning method is simple and effective,which can provide a reference to the active distribution network planning for low-carbon economy.关键词
主动配电网/低碳/遗传算法/布谷鸟搜索算法Key words
active distribution network/low carbon/genetic algorithm/cuckoo search分类
信息技术与安全科学引用本文复制引用
李昱佳,董川..基于两种仿生算法的低碳主动配电网规划[J].中国电力,2017,50(4):66-70,76,6.
