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Load thermal inertia modeling method based on discrete‐time inertia model
Author(s) -
Chen PeiPei,
Bao YuQing
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22697
Subject(s) - inertia , particle swarm optimization , thermal inertia , electrical load , thermal , control theory (sociology) , computer science , engineering , simulation , algorithm , physics , voltage , artificial intelligence , electrical engineering , meteorology , control (management) , classical mechanics
Because of thermal inertia, the electric load is affected by the current temperatures as well as historical temperatures. This paper proposes a thermal inertia modeling method for the electric load to reduce forecasting error. In the proposed method, the relationship between the load and the temperature is established based on the discrete‐time inertia system model, in which the key parameters are obtained by particle swarm optimization (PSO). Test results show that the proposed method can model the thermal inertia well and improve the accuracy of electric load forecasting. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.