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基于改进人工鱼群算法的电网可用传输能力计算究
引用本文:郑华,刘伟,张粒子,杨俊,韩红卫.基于改进人工鱼群算法的电网可用传输能力计算究[J].电网技术,2008,32(10):84-88.
作者姓名:郑华  刘伟  张粒子  杨俊  韩红卫
作者单位:1. 华北电力大学,电气与电子工程学院,北京市,昌平区,102206
2. 国家电力调度通信中心,北京市,西城区,100031
3. 宁夏电力调度中心,宁夏回族自治区,银川市,750001
摘    要:利用改进人工鱼群算法构造了可用传输能力问题的优化模型。首先采用潮流校验法解决了人工鱼群算法的初始值敏感问题;然后引入遗传算法,解决了人工鱼群算法的早熟问题;最后运用IEEE 30节点算例系统验证了所提算法的准确性和有效性,同时分析了人工鱼群算法在电网可用传输能力研究中尚需解决的问题。

关 键 词:电力市场  可用输电能力(ATC)  人工智能算法  人工鱼群算法(AFSA)
文章编号:1000-3673(2008)10-0084-05
收稿时间:2007-05-24
修稿时间:2007年8月18日

Available Transfer Capability Calculation Based on Modified Artificial Fish School Algorithm
ZHENG Hua,LIU Wei,ZHANG Li-zi,YANG Jun,HAN Hong-wei.Available Transfer Capability Calculation Based on Modified Artificial Fish School Algorithm[J].Power System Technology,2008,32(10):84-88.
Authors:ZHENG Hua  LIU Wei  ZHANG Li-zi  YANG Jun  HAN Hong-wei
Affiliation:1.School of Electrical and Electronic Engineering,North China Electric Power University,Changping District,Beijing 102206,China;2.National Power Dispatching and Communication Center,Xicheng District,Beijing 100031,China;
3.Ningxia Electric Power Dispatch Center,Yinchuan 750001,Ningxia Hui Autonomous Region,Chi
Abstract:By use of modified artificial fish school algorithm,an optimization model for available transfer capability(ATC) is built.Firstly,by means of power flow checking the problem that the artificial fish school algorithm is sensitive to its initial value is solved;then the genetic algorithm is led in to solve the prematurity of artificial fish algorithm;finally the accuracy and effectiveness of the proposed method is verified by IEEE 30-bus test system,meanwhile the problems to be solved during the application of modified artificial fish algorithm in the assessment of ATC are analyzed.
Keywords:electricity market  available transfer capability(ATC)  artificial intelligence algorithm  artificial fish school algorithm(AFSA)
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