A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems

• Published in: International journal of electrical power & energy systems Vol. 34; no. 1; pp. 66 - 74
• Main Authors: Moradi, M.H., Abedini, M.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 2012; Elsevier
• Subjects: Applied sciences; Buses (vehicles); Distributed generation; Disturbances. Regulation. Protection; Electric potential; Electric power plants; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Genetic algorithm; Genetic algorithms; Losses; Miscellaneous; Networks; Optimization; Particle swarm optimization; Placement; Position (location); Power networks and lines; Sizing; Voltage stability; Distributed generation; Losses; Genetic algorithm; Placement; Particle swarm optimization; Performance evaluation; Positioning; Radial distribution; Optimization method; Voltage regulation; Power system stability; Distributed power generation; Bus system; Dimensioning; Facility location; Electrical network; Power losses; Voltage stability; Electric power production; Safety; Effectiveness factor; Distribution network
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2011.08.023

► Location and sizing for the DG were identified using the hybrid optimization method. ► Enhancements in power losses, voltage regulation and voltage stability were achieved. ► The hybrid optimization method gives uniform answers exhibiting negligible variances. Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution systems. The objective is to minimize network power losses, better voltage regulation and improve the voltage stability within the frame-work of system operation and security constraints in radial distribution systems. A detailed performance analysis is carried out on 33 and 69 bus systems to demonstrate the effectiveness of the proposed methodology.