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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shakerian, R. Tavakkolaii, H. Kamali, S.H. Hedayati, M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Islamic Azad University-Ghaemshahr branch, Iran (Hedayati, M.) || Islamic Azad University, Ayatollah Amoli Branch, Amol, Iran (Tavakkolaii, H.) || Young Researchers Club, Islamic Azad University, Ayatollah Amoli Branch, Amol, Iran (Shakerian, R.) || Islamic Azad University, Qazvin branch, Iran (Kamali, S.H.) |
| Abstract | 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. |
| File Size | 670035 |
| File Format | |
| ISBN | 9781424465392 |
| ISSN | 21547491 |
| e-ISBN | 9781424465422 |
| DOI | 10.1109/ICACTE.2010.5579500 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monte Carlo Reliability engineering Improved Genetic Algorithm Reliability Loss Minimization |
| Content Type | Text |
| Resource Type | Article |
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