Research On Parameter Identification Of Synthesis Load Model Containing Distributed Photovoltaic

The accuracy of the load model affects the accuracy of the digital simulation of the power system,which in turn has a profound impact on the safety and stability analysis,planning and design,and dispatching of the power system.With the rapid development of distributed photovoltaics,traditional load models and typical parameters are difficult to accurately describe the load characteristics of distribution networks with high-capacity distributed photovoltaics.In this context,this article mainly studies the following:(1)The basic structure and classification of the load model are studied,and the structure of the photovoltaic power generation system,the working principle of each component and the mathematical model are given in detail.Through the PSD-BPA platform,the traditional comprehensive load model’s ability to describe the high-permeability distributed photovoltaic area was discussed.On this basis,a comprehensive load model including distributed photovoltaics was proposed,and the parameters to be identified were analyzed and determined.(2)Focusing on the identification of load model parameters,a comprehensive load model parameter identification method based on the improved butterfly algorithm(IBOA)is proposed.The method applies the idea of overall measurement and identification method,uses MATLAB and PSD-BPA joint simulation to realize the identification and modification of large power grid simulation system model parameters,and adopts the introduction of inertial weight adjustment,flight interference factor,optimal position interference and position storage strategies,etc.Measures the IBOA algorithm for parameter identification.The comparison of multiple algorithms through simulation examples shows that the IBOA algorithm has higher convergence speed and accuracy.The parameter identification using measured data verifies the feasibility and actual effectiveness of the method.(3)In order to improve the accuracy of the load model and the applicability of multiple failure scenarios,a comprehensive load model parameter optimization strategy with multiple curve identification and simulation indicators is proposed.First,the process of load model parameter identification based on multi-curve data is introduced,load power response curves under different conditions are analyzed,and three types of disturbance response curves are selected as the curves to be identified;secondly,comprehensive load model parameters based on simulation indicators are proposed.The optimization strategy introduces simulation accuracy evaluation indicators such as overall error,first swing amplitude,oscillation frequency,damping ratio,etc.The weight of each indicator is determined by the entropy weight method,and then the load model is integrated to obtain optimized load parameters;finally,through simulation examples and comparison with traditional single-fault curve identification methods,the results verify the effectiveness of the proposed strategy and the applicability of multiple-fault scenarios.