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《Automation of Electric Power Systems》 2002-12
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Sun Yongzhi, Wei Wei (Zhejiang University, Hangzhou 310027, China)  
The gradient based algorithm often suffered from local optimal solution when applied to optimal power flow (OPF) problems. Genetic algorithm can also get into local optimal point because of prematurity of populations. A novel algorithm, artificial immune algorithm, is proposed to tackle this problem. The algorithm, inspired by the immune system of human and other mammals, simulates the process of the interaction between antigens, antibodies and lymphocytes. The implement of artificial immune algorithm on OPF problem is described in the paper. The object function and part of inequality constrains serve as antigen and solution serves as antibody. The stimulation of antibodies helps the convergence of solution near optimal point. The local optimal solution can be avoided by the interaction between memory cells and antibodies. The proposed algorithm was tested on IEEE 30 bus system. The result demonstrated the feasibility of the algorithm.
【Fund】: 国家自然科学基金资助项目 (6 990 4 0 0 9);; 教育部青年骨干教师基金资助项目
【CateGory Index】: TM711
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