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《Journal of Northeast Dianli University》 2011-04
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Available Transfer Capability Calculation Based on Immune Genetic Algorithm

LI Guo-qing1,SU Dan2,WANG Jian-hua1(1.School of Electrical Engineering,Northeast Dianli University,Jilin Jilin 132012;2.North China Grid Company Limited,Beijing 100053)  
This paper established a computation model of Available Transfer Capability(ATC) based on Optimal Power Flows(OPF).An Immune Genetic Algorithm(IGA) is employed to solve this model.Comparing with the genetic algorithm(GA),the proposed algorithm based on immune principle exists following salient feartures such as antigen recognition,memory mechanism,the boost or restriction of antibody generations,etc.In immune algorithm the objective funtion and the constraints are assimilated to the antigens and the solution of the problem is assimilated to the antibody.Through the calculation of affinity the antibody is evaluated and the boost or restrain of its generation is determined,thus,the possibility of the evolutionary process falls into local optima is decreased.Though the memory mechanism the ability of local search is improved,therefore,the calculation is speeded up.The presented method is studied on IEEE-30 bus system.the calculation results by IGA is comparison with that by traditional genetic algorithm,the comparison results show that the more optimal solution can be obtained by IGA and the performance of IGA is far better than that of GA.
【Fund】: 国家自然科学基金项目(50977009)
【CateGory Index】: TM744
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