Load Fuzzy Modeling of Power System Based on Combined Cloud Generator
Wang Yun-shuang · Jisuanji fangzhen · 2008
Based on the knowledge representation of cloud theory,power system and cloud theory were integrated effectively to solve the load origin data shortage of distribution system.With the origin data fuzzy clustered,a combination cloud generator was put forward,which combined forward cloud generator and backward cloud generator to a close-loop structure.Considering of the distribution system load data characteristic,the restriction equations and system data complement unit were joined to combination cloud generator,which ensured that the created load data covered most of the system situation without impossible data.The cloud drop reflected the fuzziness and randomness of the load data.The loads were identified by T-S fuzzy model based on the generation cloud drop.The identification result implies the effectiveness and usefulness of the approach by the contrast with some kinds of universal load model.