Open AccessOptimization Technique Inspired Load Frequency Controller for Multi Area Power System with Renewable Energy Source
Author(s) -
J. Shri Saranyaa,
A. Peer Fathima,
Asutosh Mishra,
Rushali Ghosh,
Shalmali Das
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/850/1/012017
Subject(s) - automatic frequency control , control theory (sociology) , renewable energy , electric power system , controller (irrigation) , pid controller , demand response , particle swarm optimization , governor , frequency deviation , wind power , computer science , power (physics) , control engineering , engineering , control (management) , temperature control , electricity , telecommunications , electrical engineering , agronomy , physics , quantum mechanics , artificial intelligence , machine learning , aerospace engineering , biology
Modern day scenario has an increasing power demand due to the growing development which indeed increases the load on the generation which might cause turbulence in the system and may bounce out of stability. The governor itself can’t handle such frequent load changes and adjust the generation amount to keep the frequency between the margins. This paper proposes an approach towards such predicament to incorporate an optimization method in order to ensure stability of the system despite the drastic changes in demand. Load frequency control is a control method for maintaining the frequency of the system during the change in demand. Use of controllers has proven to be effective in controlling the frequency deviations in the power systems and the response of the controller is further improved using optimization technique for better stability. The PID controller tuned by Particle Swarm Optimization is employed in multi-area system which reduces the time response by a considerable amount and the deviation settles much quicker despite the rapid load changes. The proposed controller is executed further for renewable energy sources connected to the individual areas and demonstration proves that the optimized controller is efficient enough in handling the frequency deviations when wind and solar with sunlight penetration is incorporated.