基于两种仿生算法的低碳主动配电网规划

doi:10.11930/j.issn.1004-9649.2017.04.066.05

摘要/Abstract

摘要： 分布式电源（DG）为未来配电网的规划问题带来了许多新的挑战。在传统配电网规划基本要求的基础上,结合主动配电网相关标准,对主动配电网进行了新的规划。规划过程中,将选择投入运行的电网网架和分布式电源出力大小作为优化变量,将电网的碳排放环境成本作为评判标准。以14节点网络系统为例,将遗传算法（GA）和布谷鸟搜索（CS）算法相结合,并根据电网规划实际情况对算法做了改进。最终在MATLAB环境下,结合MATPOWER潮流计算工具,实现了主动配电网的低碳规划。算例结果表明,该规划方法简单有效,能够为低碳经济下主动配电网的进一步发展提供参考和依据。

关键词: 主动配电网, 低碳, 遗传算法, 布谷鸟搜索算法

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.

Key words: active distribution network, low carbon, genetic algorithm, cuckoo search

中图分类号:

TM715

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.

LI Yujia, DONG Chuan. Low-Carbon Active Distribution Network Planning based on Two Bionic Algorithms[J]. Electric Power, 2017, 50(4): 66-70.

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https://www.electricpower.com.cn/CN/Y2017/V50/I4/66

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