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《Journal of Changsha University of Electric Power(Natural Science)》 2006-01
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Reactive Power Optimization Based on Fuzzy Load Model of the Dantzig-wolfe

LUO Qing-yue,HUANG Da-zu,HUANG Cheng-shun,WANG Yue-qiu,CHEN Wei(Shaoyang College,Shaoyang 422004,China)  
For optimal control of reactive power /voltage in large-scale electric network,a novel mathematic model of fuzzy load is presented. The objective is to minimize power losses considering various load condition at the current time interval.Combining fuzzy set theories with Wantzig-wolfe decomposition,all the problem such as the uncertainties described,the conflicting in different measures and the complexity of calculating are resolved.That this model not only has the stronger adaptability,the global optimization capability of escaping local optimum and the capability of reducing CPU time effectively,but also can provide a global solution for the system behavior under various load conditions is proved by the results of the numerical examples.
【CateGory Index】: TM714
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