Title: Particle Swarm Optimization for Economic Dispatch of Generating Units with Valve-Point Loading
Abstract: Economic Dispatch (ED) is one of the main functions of power system operation and control which determines the optimal real power settings of generating units with an objective of minimizing the total fuel cost. In all practical cases, the fuel cost of generators can be represented as a quadratic function of real power generation. In fact, discontinuity may also be observed in thermal power plants’ fuel cost curves due to valve point loading. As the conventional optimization methods require the objective functions to be in continuous differentiable form, they fail to solve these problems. This paper presents a new approach using Particle Swarm Optimization (PSO) for solving the ED problem of generating units having non-smooth fuel cost functions with ramp rate limits. The proposed method is implemented for solving an example dispatch problem in the IEEE 30-bus 6-generation unit system. The obtained results are compared with those from the evolutionary programming (EP) method and show that the PSO approach is feasible and efficient.
Publication Year: 2005
Publication Date: 2005-01-01
Language: en
Type: article
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Cited By Count: 8
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