Research on intelligent optimization and identification of rural power load based on hybrid feature
The non-invasive load identification of rural power load is helpful to master the user load information and to reasonably carry out the economic dispatching of power grid,and thus to achieve the reduction of network loss and the adjustment of peak valley difference.This study proposed a simultaneous identification method on rural power load with multiple appliances.The method adopted the frequency weighting factor genetic algorithm(FWF-GA)based on the load hybrid feature and intelligent optimization algorithm.In the proposed method,a hybrid feature model which was composed of the active power,reactive power and amplitude-frequency characteristic was firstly established,and then the active and reactive power was used to construct the simultaneous identification and optimization model.On the basis of the constructed optimization model and genetic algorithm,the FWF-GA was developed to solve the simultaneous identification and optimization problem,in which a new fitness function was established based on the hybrid feature model to efficiently evaluate the fitness of individuals.Finally,the effectiveness of the proposed method was verified by load identification of five kinds of electrical equipment for rural residents.In the validation example,five thousand groups of combined loads were identified by the proposed method,and the identification results showed that the single identification accuracy of the five electrical appliances as well as the average accuracy of overall identification was more than 90%.Moreover,three identification methods with different fitness functions were used to identify eight groups of mixed loads,and the comparison results showed that the proposed method was more efficiency than the other two identification methods.The example analysis results indicated that the proposed load identification method can effectively identify the simultaneously existed loads with satisfied efficiency and accuracy.
rural power loadgenetic algorithmfrequency weighting factorload identificationhybrid feature