TY - JOUR
TI - A data analysis system for thermal energy loss in electrical automation management
AU - Yin Jingwen
AU - Zhang Guifeng
JN - Thermal Science
PY - 2024
VL - 28
IS - 2
SP - 1211
EP - 1218
PT - Article
AB - 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.