Optimize D Ide Ntification Strategy For Composite Load Mode L Para Mete Rs Base D On Parame Ter Se Nsitivity And Corre Lation Analysis

Combining t he practica l applicat ion of load model in power syste m simulat ion wit h the complicated model and various parameters, a series of detailed research around the structure, parameter sens it ivit y, correlation ana lys is and parameter optimizatio n of composite load model are launc hed integrating system ident ification theory, higher mathemat ics wit h computer techno logy. The ma in work and achieve ments are as below :1. The significance, research status and main challenges of load modeling are discussed. In addit io n, theory such as the type and structure of load model, the application at home and abroad, measure ment based load modeling are introduced in detail.2. With t he dema nds of comprehens ive and accurate load model, the structure and the init ia l steady state of composite load model cons idering distr ibut ion network are introduced first ly. O n this basis, parameter sensit ivit y of the induct ion motor model, static load model, reactive power compensat ion model, distr ibut ion network and proportion coeffic ient of the induct ion motor are ana lyzed separately.3. To study the effects of parameters on model response and the correlat ions between parameters, an optimized ident ification strategy based on parameter sens it ivit y and correlat ion ana lys is is presented: parameter sens it ivit y based on the eigenva lues of Hessian matrix and correlation ana lys is based on Pearson correlat ion coeffic ient are analyzed, O n t hese basis, fix parameters wit h s mall sens it ivity and simplified identify the linearly dependent parameters proport ionately in the process of the hybr id algorit hm comb ining genet ic algor ithm wit h LM algorit hm. Fina lly, effic iency of the identificat ion strategy is ident ified through measured data.The optimizat ion ident ification strategy may, to a certain e xtent, alleviate the disparit ies between "t ypica l" parameters and var ious parameters, showing some practical va lue and application prospect in engineering.