Application of NSGA-II and PGA in Network Planning of the Distributed Systems

Abstract:

The issue of power reliability in a middle-voltage distributed network is now emerging as an international concern. Therefore, in this paper, an optimal model with two objectives, reliability and economy, for network planning of a distributed system is established. Based on the Pareto optimum theory, the Non-dominated Sorting Genetic algorithm II (NSGA-II), which is combined with the specific genetic operators in Partheno-genetic algorithm (PGA), is used to solve the proposed model. By the obtained well-proportioned Pareto solution set, the final network planning scheme can be found according to different real engineering conditions, thus different demands in engineering can be satisfied. A typical example is used to verify the proposed model and algorithm effective.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4888-4892
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4888
• Online since: January 2012
• Authors: Zhi Keng Li
• Keywords: Distributed Network Planning, NSGA-II, PGA

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