Open AccessEfficient frequency controllers for autonomous two‐area hybrid microgrid system using social‐spider optimiser
Author(s) -
ElFergany Attia A.,
ElHameed Mohammed A.
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.0455
Subject(s) - microgrid , pid controller , control theory (sociology) , turbine , computer science , controller (irrigation) , automatic frequency control , photovoltaic system , wind power , wind speed , electric power system , time domain , frequency deviation , power (physics) , control engineering , control (management) , engineering , telecommunications , temperature control , artificial intelligence , biology , mechanical engineering , agronomy , physics , electrical engineering , quantum mechanics , meteorology , computer vision
In this study, an efficient load frequency controller (LFC) for standalone two‐area hybrid microgrid system (HμGS) is addressed. Social‐spider optimiser (SSO) is applied to fine tune the proposed proportional–integral–derivative (PID) controllers by generating their optimal settings. The integral time multiplied summation of absolute deviations and the gains of PID controllers define the fitness function and control variables, respectively. The performance of the proposed SSO‐based method is demonstrated on an isolated HμGS complete with variety of energy storage systems under number of scenarios. The scenarios include load fluctuations, variations in wind speed, and sun irradiance employing real site measurements. In this study, photovoltaic generating arrays and wind turbine generators are not participating in system frequency regulations due the proposal of their maximum power tracking operation strategy. The signatures of time‐domain dynamic responses and cropped numerical results ascertain that the proposed SSO‐based LFC scheme is promising in diminuting the signal deviations and in short time. Further validations for cropped results produced by SSO are made compared with powerful optimisation tool such as genetic algorithm which signify the tuned PID gains.