IMPROVED GENETIC ALGORITHM FOR LOSS AND SIMULTANEOUSLY RELIABILITY OPTIMIZATION IN RADIAL DISTRIBUTION SYSTEMS

摘要：

this study presents a new method to improve simultaneously reliability and minimize active power losses in radial distribution systems (RDS), through a process of network reconfiguration. The methodology adopted to enhance reliability uses the Monte Carlo (MC) simulation and historical data of the network, such as the severity of the potential contingencies in each branch. Due to a large number of possible configurations and the need of an efficient search, the optimization is made through an improved genetic algorithm (IGA) with adaptive crossover and mutation probabilities, and with other new features. The method analyses the RDS considering in a first step, the absence of investment, and in a second step, the possibility of placing a limited number of new tie-switches, defined by a decision agent, in certain branches. The effectiveness of the proposed method is demonstrated through the analysis of a 69 bus RDS.

关键词： Improved Genetic Algorithm Loss Minimization Monte carlo Reliability

作者: Reza Shakerian Hamid Tavakkolaii Seyed Hossein Kamali Maysam Hedayati

作者单位: Young Researchers ClubIslamic Azad UniversityAyatollah AmoliBranch, Amol, Iran Islamic Azad University,Ayatollah Amoli Branch,Amol, Iran Islamic Azad UniversityQazvin branch, Iran Islamic Azad University-Ghaemshahr branch, Iran Hedayati_maysam

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）