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《JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY》 1998-01
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Reactive Power Optimization Based on GeneticAlgorithms in Electric Power Systems

Cheng Haozhong(Department of Electric Power Engineering, Shanghai Jiaotong University)  
The reactive power optimization is formulated based on genetic algorithms (GAs) in electric power systems. Via the use of genetic algorithms the approach can successfully solve the discrete independent variable problems and avoid the local optimal solutions in conventional mathematical optimization problem. Kinds of optimal schemes are provided. A novel approach is developed in electric power systems. The approach has been tested in the IEEE 57 bus system, and good effects are obtained.
【Fund】: 上海市青年科技启明星计划资助
【CateGory Index】: TM711
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