期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2014
卷号：6
期号：2
DOI：10.15676/ijeei.2014.6.2.5
出版社：School of Electrical Engineering and Informatics
摘要：In a multiple area power system power can be transferred from one area toother to improve the load factor, reliability, security and economics of the powersystem. The generation cost of each unit in an area and the cost of power transfer fromother area are given. For a given load in an area the problem is how much power to begenerated internally by all the generating units in the area (unit wise) and how powerhas to be transferred (pooled) from other area for a given total load demand in the area(for economic operation of the power system). This problem has been solved usingLagrange multiplier method recently. The limitation of this method is that it isapplicable only if the generation cost of each generating unit is quadratic. Sometimesthe power generation cost of each unit is not quadratic but is other type of nonlinearfunction e.g. the valve-point effect problem it is addition of quadratic and sinusoidalfunction. The main objective of this paper is to overcome this limitation by solving thisgeneral type of nonlinear optimal problem using a Meta heuristic method, PSO (ParticleSwarm Optimization) and its variants. It is to point out that for implementation of PSOit is required to select a population size. Generally the population size is selected on adhocbasis. This effects the computation time as well as number of iteration for solution.A method has been suggested to select population size on the basis of optimalcomputation time as second objective. The method is explained by an example. Theresults obtained by PSO and its variants are compared among themselves and with theresults obtained by analytical method. MATLAB 7 software is used for computation.
关键词：Integrated Power System; Optimization; PSO; Economic Power Dispatch
