Performance Comparison of GA and PSO on Wind and Thermal Generation Dispatch

Abstract:

Due to the enormous increase in the power system load the conventional power generation plants never satisfy the power demand. So the power generating sectors turn into renewable energy sources. Wind power is a promising renewable energy source. It is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper GA and PSO algorithm are used to perform ED considering wind power generation and valve effect of thermal unit. The proposed method is validated with three and six unit test system. The results show the performance comparison of the two methods for solving the wind thermal dispatch problem.

• Periodical: Advanced Materials Research (Volumes 984-985)
• Pages: 759-763
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.984-985.759
• Online since: July 2014
• Authors: K. Dhayalini*, S. Sathiyamoorthy, Christober Asir C. Rajan
• Keywords: Economic Dispatch, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Wind – Thermal Coordination Dispatch

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