基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制

吴伟丽

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基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制

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- 基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 30, Issue 2, Pages: 243-247(2013)
- 作者机构：
  
  1. 伊犁师范学院电子与信息工程学院
  2. 华北电力大学电子与电气工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM714.3
- Published：2013
- 稿件说明：
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[1]吴伟丽.基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制[J].新疆大学学报(自然科学版),2013,30(02):243-247.

吴伟丽. 基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2013, 30(2): 243-247.
[1]吴伟丽.基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制[J].新疆大学学报(自然科学版),2013,30(02):243-247. DOI：

吴伟丽. 基于WNSGA-Ⅱ计及磁暴扰动无功补偿优化控制[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2013, 30(2): 243-247. DOI：

摘要

为了补偿强磁暴导致的电力系统变压器集群无功损耗增高

提出了加权带精英策略非支配排序的遗传算法(WNSGA-Ⅱ).以电压失稳风险最小为目标进行的无功补偿优化

使电网无功潮流分布达到最优

缓解或消除强磁暴对复杂电网的不利影响.采用IEEE6节点算例

结果与人工鱼群算法对比

验证了WNSGA-Ⅱ的有效性.

Abstract

In order to compensate the increased reactive power loss transformer cluster in power system due to strong magnetic storms

this paper proposes weighted elitist non-dominated sorting genetic algorithm(WNSGA-Ⅱ) aiming to minimize voltage instability risk and optimize reactive power flow distribution to eliminate the adverse impact of strong magnetic storms on the complex grid.We tested the algorithm on IEEE6 nodes system and validate its good convergence

uniform distribution of the target spaceand reduced computational complexity.

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references

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