A data analysis system for thermal energy loss in electrical automation management

Abstract

In order to achieve data analysis of thermal energy loss for electrical automation management, the author proposes a Broyden Fletcher Goldfarb Shanno (BFGS) trust region algorithm based thermal energy loss calculation method for the integrated energy system of electricity and gas, the BFGS trust region algorithm is utilized to obtain the thermal energy loss distribution of natural gas system, which is not highly dependent on the initial value, this solves the problem of non-convergence in power flow calculation when using the Newton method for calculation. The experimental results show that the relative errors of natural gas system node pressure, pipe-line flow and power system node voltage and phase angle calculated by Newton?s method and BFGS trust region algorithm are within 1 ? 10-4, within the allowable range, which verifies the correctness of the calculation results of the method described by the author. It has been proven that the BFGS trust region algorithm can achieve data analysis of thermal energy loss for electrical automation management.