Open AccessExpeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm
Author(s) -
Barik Amar Kumar,
Das Dulal Chandra
Publication year - 2018
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2018.5196
Subject(s) - microgrid , photovoltaic system , renewable energy , biogas , automatic frequency control , computer science , controller (irrigation) , matlab , control theory (sociology) , biodiesel , automotive engineering , engineering , electrical engineering , control (management) , telecommunications , waste management , agronomy , biochemistry , chemistry , artificial intelligence , catalysis , biology , operating system
This work endeavours to propose an approximate mathematical model of a community based renewablemicrogrid with solar photovoltaic, biogas and biodiesel generators includingbattery storage for load frequency studies. It becomes a great challenge tocoordinate between generation and load demand of the microgrid as the renewablesources are highly unpredictable and nature dependent. To overcome this issue,the responses of the system are studied under different real‐world scenarios ofrenewable source availabilities and load variations with a maiden approachtowards optimising the controller gains using a recent grasshopper optimisationalgorithm (GOA) for efficient frequency control. The frequency responses ofproposed microgrid are compared with different conventional controllers and somepopular optimisation algorithms using MATLAB/Simulink. Finally,proportional–integral–derivative controller with GOA is preferred for the casestudies under four cases of source variations with step load perturbation andone case of simultaneous source and load variations. The results of all thesefive scenarios are found satisfactory in terms of frequency responses andreported in the work.