Identifiability Evaluation Based Crucial Parameter Selection Strategy for Regional Integrated Energy System Modeling

Accurate simulation model can be efficiently to analyze the dynamics of Regional Integrated Energy System (RIES) as well as evaluate their impacts on interconnected power system. However, due to parameter identifiability and parameter sensitivity, traditional parameter identification methods of RIES may not accurate enough. To solve the problem, General Parameter Identifiability (GPI) which is consist of parameter correlation and parameter sensitivity is proposed. Trajectory sensitivity is used in parameter correlation analysis; furthermore, instead of traditional sensitivity analysis based on derivatives such as trajectory sensitivity in time-domain, elasticity corrected trajectory sensitivity and power spectrum sensitivity are proposed to analysis parameter sensitivity in time-frequency domain. Also, the evaluation method of GPI is presented. Parameter identifications in an actual RIES verify the accuracy of proposed method.