Open AccessControl of isolated microgrid based renewable energy generation using PID controller
Author(s) -
Regad Mohamed Sidi Brahim,
M. Helaimi,
Rachid Taleb
Publication year - 2021
Publication title -
international journal of applied power engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2624
pISSN - 2252-8792
DOI - 10.11591/ijape.v10.i2.pp127-134
Subject(s) - microgrid , pid controller , control theory (sociology) , renewable energy , diesel generator , particle swarm optimization , engineering , controller (irrigation) , automotive engineering , computer science , control engineering , diesel fuel , control (management) , temperature control , electrical engineering , agronomy , artificial intelligence , machine learning , biology
This paper investigates optimal PID controller tuning using particle swarm optimization for frequency control in the microgrid system. The proposed microgrid composed of renewable sources such as wind turbine generation and solar system with diesel engine generator and storage systems such as the battery, flywheel, aqua electrolyze, and fuel cell. The microgrid based on renewable energy sources faces different challenges in operation and stability due to the stochastic nature of solar radiation and wind speed that depend upon the weather conditions. Among these challenges, the frequency and power deviations are affected by the sudden unbalance between generation and load which require a suitable and adequate regulation. The principal objective of this study is to reduce the frequency and power deviation by the use of the PID controller optimized based particle swarm optimization due to its simplicity and flexibility to overcome this kind of issues. The simulation results show the better performances and robustness of the proposed controller against the disturbances in load and generations in comparison to using a genetic algorithm.