Optimum Synthesis of a BOA Optimized Novel Dual-Stage PI ? (1 + ID) Controller for Frequency Response of a Microgrid
Abdul Latif,
S. M. Suhail Hussain,
Dulal Chandra Das and
Taha Selim Ustun
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Abdul Latif: Department of Electrical Engineering, National Institute of Technology Silchar, Assam 788010, India
S. M. Suhail Hussain: Fukushima Renewable Energy Institute, AIST (FREA), National Institute of Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan
Dulal Chandra Das: Department of Electrical Engineering, National Institute of Technology Silchar, Assam 788010, India
Taha Selim Ustun: Fukushima Renewable Energy Institute, AIST (FREA), National Institute of Advanced Industrial Science and Technology (AIST), Koriyama 963-0298, Japan
Energies, 2020, vol. 13, issue 13, 1-12
Abstract:
A renewable and distributed generation (DG)-enabled modern electrified power network with/without energy storage (ES) helps the progress of microgrid development. Frequency regulation is a significant scheme to improve the dynamic response quality of the microgrid under unknown disturbances. This paper established a maiden load frequency regulation of a wind-driven generator ( WG ), solar tower ( ST ), bio-diesel power generator ( BDPG ) and thermostatically controllable load (heat pump and refrigerator)-based, isolated, single-area microgrid system. Hence, intelligent control strategies are important for this issue. A newly developed butterfly algorithmic technique (BOA) is leveraged to tune the controllers’ parameters. However, to attain a proper balance between net power generation and load power, a dual stage proportional-integral- one plus integral-derivative PI − (1 + ID) controller is developed. Comparative system responses (in MATLAB/SIMULINK software) for different scenarios under several controllers, such as a proportional-integral ( PI ), proportional-integral-derivative ( PID ) and PI − (1 + ID) controller tuned by particle swarm optimization (PSO), grasshopper algorithmic technique (GOA) and BOA, show the superiority of BOA in terms of minimizing the peak deviations and better frequency regulation of the system. Real recorded wind data are considered to authenticate the control approach.
Keywords: isolated hybrid microgrid system ( IH?GS ); solar tower ( ST ); biodiesel power generator ( BDPG ); frequency regulation; butterfly optimization technique (BOA); microgrid energy management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (11)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:13:p:3446-:d:380025
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