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计及多个风电机组出力相关性的配电网无功优化

王玲玲 王昕 郑益慧 孙洪波 李佳春 赵明阳

电网技术2017,Vol.41Issue(11):3463-3469,7.
电网技术2017,Vol.41Issue(11):3463-3469,7.DOI:10.13335/j.1000-3673.pst.2017.0041

计及多个风电机组出力相关性的配电网无功优化

Reactive Power Optimization of Distribution Network Considering Output Correlation of Multiple Wind Turbines

王玲玲 1王昕 1郑益慧 1孙洪波 2李佳春 2赵明阳2

作者信息

  • 1. 电工与电子技术中心(上海交通大学),上海市闵行区 200240
  • 2. 国网吉林省电力有限公司四平供电公司,吉林省四平市 136000
  • 折叠

摘要

Abstract

This paper focuses on reactive power optimization in distribution network with multiple wind turbines. Uncertainty of wind turbine output and load fluctuation is handled with scenario analysis method. Multiple scenarios are generated with Latin hypercube sampling technique. Cholesky factorization ranking method is used to deal with correlation among multiple wind turbine outputs. Taking minimal expected value of active power loss as objective function, and restricts of node voltage, line power flow and number of switched capacitors as constraints, a new reactive power optimization model is built. Chicken swarm optimization algorithm is applied to solve the model and case studies are carried out on the modified IEEE 69-bus distribution network. Influence of different correlations among wind turbine outputs on reactive power optimization is studied. Results validate feasibility of the proposed reactive power optimization model and solution method. Voltage quality of distribution network is improved and power loss is reduced with the reactive power optimization. It is of great significance for safe and economic operation of distribution network.

关键词

风电机组/无功优化/场景分析法/鸡群优化算法

Key words

wind turbines/reactive power optimization/scenario analysis method/chicken swarm optimization

分类

信息技术与安全科学

引用本文复制引用

王玲玲,王昕,郑益慧,孙洪波,李佳春,赵明阳..计及多个风电机组出力相关性的配电网无功优化[J].电网技术,2017,41(11):3463-3469,7.

基金项目

国家自然科学基金项目(61673268) (61673268)

国家自然科学基金重点项目(61533012) (61533012)

上海市自然科学基金项目(14ZR1421800). Project Supported by National Natural Science Foundation of China (61673268) (14ZR1421800)

Key Project of National Natural Science Foundation of China (61533012) (61533012)

Shanghai Municipal Natural Science Foundation (14ZR1421800). (14ZR1421800)

电网技术

OA北大核心CSCDCSTPCD

1000-3673

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