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文章摘要
基于多目标人工搜索群算法的分布式电源优化
Distributed Generation Optimization Based on Multi-objective Artificial Searching Swarm Algorithm
Received:June 04, 2019
Revised:June 04, 2019
DOI：
10.19753/j.issn1001-1390.2021.02.006
中文关键词
:
人工搜索群算法
多目标优化
分布式电源
有功网损
电压偏移
英文关键词
:
基金项目
:
河北省科技计划项目
Author Name
Affiliation
E-mail
Zhou Xiaoting
*
State Key Laboratory of Reliability and Intelligence of Electrical Equipment
,
Hebei University of Technology
2710740716@qq.com
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中文摘要
:
分布式电源优化是配电网规划的重要环节，多目标优化算法是该环节的关键因素，目前用于解决这类问题的算法大都将多目标转化为单目标，一定程度上忽略了各目标间的相关性。为解决该问题，提出了一种改进人工搜索群算法，结合Pareto理论，针对每个优化目标并行搜索寻优，配合构建外部存档集，做到对各个目标之间关系的协调，解决了人工搜索群算法不能处理多目标优化问题的缺陷。随后针对改进算法存在的收敛精度不高，容易陷入早熟的情况，引入动态参数进行调整，改善了算法性能。最后以30节点系统为例，建立了考虑DG投资运行成本、有功网损及节点电压偏移的多目标优化模型，利用改进算法完成优化，通过与粒子群算法的效果对比，验证了算法的有效性。
英文摘要
:
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