TRANSMISSION NETWORK PLANNING AND OPTIMIZATION MODELWITH GENETIC ALGORITHMS BASED ON FUZZY LOGIC CONTROLLER
Wang Hut', Han Xinyang', Hu Zhaoguang'. Wang Guangsheng'(l. Beijing University of Aeronautics and Astronautics, Beijing 100083, China)(2. SP Power Economic Research Center, Beijing 100761. China)(3. Electric Power Research institute of China, Beijing 1000
Genetic algorithms (GAs) provide a new strategy for global optimization. but the computation burden of theconventional GA is heavy. In this work, the simple genetic algorithm (SGA) is improved in many aspects in the context oftransmission network planning. and a heuristic--genetic algorithm is obtained. Moreover. a fuzzy logic controlled geneticalgorithm (FLCGA) is presented, in which two fuzzy logic controllers are implemented to adjust the crossover rate andmutation rate adaptively during the optimization process. In compare with SGA, the proposed FLCGA has much betterperformance, and can be applied to a wide range of system optimization and control problems.
【CateGory Index】： TM71