The Application of Multi-Objective Particle Swarm Optimization in Economic Dispatch of Power System

Abstract:

Economic dispatch (ED) is a typical power system operation optimization problem. But it has non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult. According to the characteristics of economic dispatch problem, a improved algorithm based on particle swarm optimization for solving economic dispatch strategy is researched in this paper. Multi-objective economic\environmental dispatch demands that the pollutant emission of power plants should reach minimum while the condition of least generation cost should be satisfied. According to this demand, this multi-objective problem is solved by improved particle swarm optimization (PSO) algorithm. Using particle position and speed of change in the familiar update, the multi-objective particle swarm algorithm based on test function of this algorithm, and the simulation results of simulation optimization. The effectiveness of the proposed algorithm is verified by Simulation.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 2119-2122
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.2119
• Online since: September 2013
• Authors: Peng Zheng, Wen Tan Jiao
• Keywords: Economic Dispatch, Multi-Objective Particle Swarm Optimization, Optimization Problem, Power System

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