A synthetic power quality evaluation model based on cloud matter element analysis theory
Ruqi Li · Power System Protection and Control · 2012
Aiming at the characteristics of the integration evaluation of power quality, the weights of indexes in power quality synthetic evaluation are obtained by integrating the analytic hierarchy process method, the entropy method and the mean square difference method. Given a full consideration to the fuzziness and randomness of the boundary value of power quality classification levels, combining the characteristic of uncertain reasoning of the cloud model and the advantage of qualitative and quantitative analysis of the matter element analysis theory, a comprehensive power quality evaluation model is proposed based on cloud matter element analysis theory. By establishing the standard cloud matter element model of power quality comprehensive evaluation and calculating the association degree between the matter element to be evaluated and standard cloud matter element model, the coefficient of credible degree is defined, which allows the model not only obtains the level of power quality but also provides the credibility information of the evaluation result. The superiority and effectiveness of the model is demonstrated by results of actual numerical example.