Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
703894 | Electric Power Systems Research | 2013 | 8 Pages |
This study presents an optimization method that combines simultaneously the reliability and the efficiency of radial power distribution systems (RDS), minimizing active energy losses, through a process of network reconfiguration. The study is based on the failure analysis on network branches, with a special concern regarding the protection system response to faults and the service restoration procedures, during the emergency state. A non-sequential Monte Carlo simulation based on the branch reliability was used to evaluate reliability of the network configurations. 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). 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 in certain branches, according to the definitions made by a decision maker. The effectiveness of the proposed methodology is demonstrated through the analysis of a 69 bus RDS and by comparison against other reported methodologies.
► We combine simultaneously reliability and efficiency of power distribution systems. ► These goals are achieved through a process of network reconfiguration. ► We propose an improved reliability model considering the emergency state. ► Optimization is made through an improved genetic algorithm developed by the authors. ► The importance of combining reliability and efficiency is demonstrated.