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山东大学学报(工学版) ›› 2008, Vol. 38 ›› Issue (6): 21-24.

• 论文 • 上一篇    下一篇

考虑不可行度的改进遗传算法在电压无功调整中的研究

王剑 张善   

  1. 王剑 :山东山大电力技术有限公司, 山东 济南 250061; 张善:枣庄供电公司, 山东 枣庄 277102
  • 收稿日期:2008-06-16 出版日期:2008-12-16 发布日期:2008-12-16
  • 作者简介:王剑 (1972-),男,山东临沂人,学士,工程师,研究方向为电力系统运行与控制. E-mail: wangjian@sdu.edu.cn

voltage  regulation research of an improved genetic algorithm considering infeasidering infeasibility degree

  1. WANG Jian1:SDU Electric Power Technology Co. Ltd, Jinan 250061, China;
    ZHANG Shan : Zaozhuang Electric Power Company, Zaozhuang 277102, China
  • Received:2008-06-16 Online:2008-12-16 Published:2008-12-16

摘要:

电压质量是电力系统安全经济运行的重要因素,需要利用合理的电压无功措施进行调整.在电压无功调整的数学模型中引入了不可行度概念,用于处理模型中的约束条件,并结合改进遗传机制的遗传算法对系统进行电压无功调整.不可行度的引入扩大了遗传算法的搜索域,提高了算法的寻优能力.通过对实际系统的分析计算表明,该算法可以较好地平衡来自目标函数最优化和约束条件限制的压力,有效地改善电压质量.

关键词: 电压质量;不可行度;改进遗传算法;电力系统

Abstract:

Voltage quality is the core factor of safe and economic operation in power systems, and reasonable measures are needed for voltage regulation. The infeasibility degree was introduced into the mathematical model of voltage regulation, which can deal with the constraints of the model. In addition, an improved genetic algorithm was used to solve the voltage regulation problem. The infeasibility degree can extend the search scope of the genetic algorithm and enhance the ability of getting the optimal solutions. The results of a practice power system demonstrate that the proposed method can effectively balance the pressure between the optimization and the constraints of the objective function, and improve the voltage quality of power systems.

Key words: voltage quality; infeasibility degree; improved genetic algorithm; power systems

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