TY - GEN
T1 - Co-ordinated frequency support of Solar-field/Wind based Independent Hybrid Micro-grid System using WOA optimized single Controller
AU - Latif, Abdul
AU - Das, Dulal Chandra
N1 - Funding Information:
ACKNOWLEDGMENT Authors are very much thankful to TEQIP-III NIT Silchar, for supporting and proving funds to complete this work.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Due to the rapid enhancement of renewable energy resources (RSs) as well as to control the environmental pollution, integration of RESs in the modern power system has been attracting a lot of attention. This article highlights an attempt to contain the deviation of system frequency under Wind turbine generator, Solar field, Diesel engine generator, Aqua-electrolyzer and Fuel cells based independent hybrid microgrid by an optimal single controller load frequency control (LFC) strategy with the help of a more recent Whale optimization algorithm. Integration of two RESs (WTG, SF) and load variation gives microgrid frequency fluctuation with different adverse effect of the power system. For controlling the frequency fluctuation an intelligent control strategy is used in proposed microgrid system to monitor and adjust the system frequency as well as manage the active power. The performance comparison of different controllers (I, PI, PID) as well as two algorithms (PSO WOA) taken into consideration which reveals in terms of Peak deviations, settling time and objective function values. All the case studies have been simulated under MATLAB-Simulink environment and the optimized responses shows that WOA optimized PID controller is better than PSO optimized PID controller.
AB - Due to the rapid enhancement of renewable energy resources (RSs) as well as to control the environmental pollution, integration of RESs in the modern power system has been attracting a lot of attention. This article highlights an attempt to contain the deviation of system frequency under Wind turbine generator, Solar field, Diesel engine generator, Aqua-electrolyzer and Fuel cells based independent hybrid microgrid by an optimal single controller load frequency control (LFC) strategy with the help of a more recent Whale optimization algorithm. Integration of two RESs (WTG, SF) and load variation gives microgrid frequency fluctuation with different adverse effect of the power system. For controlling the frequency fluctuation an intelligent control strategy is used in proposed microgrid system to monitor and adjust the system frequency as well as manage the active power. The performance comparison of different controllers (I, PI, PID) as well as two algorithms (PSO WOA) taken into consideration which reveals in terms of Peak deviations, settling time and objective function values. All the case studies have been simulated under MATLAB-Simulink environment and the optimized responses shows that WOA optimized PID controller is better than PSO optimized PID controller.
KW - Aqua-electrolyzer (AE)
KW - Frequency control
KW - Hybrid micro-grid (HMG)
KW - Solar field (SF)
KW - whale optimization algorithm (WOA)
UR - http://www.scopus.com/inward/record.url?scp=85079290369&partnerID=8YFLogxK
U2 - 10.1109/TENSYMP46218.2019.8971352
DO - 10.1109/TENSYMP46218.2019.8971352
M3 - Conference contribution
AN - SCOPUS:85079290369
T3 - Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019
SP - 617
EP - 622
BT - Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Region 10 Symposium, TENSYMP 2019
Y2 - 7 June 2019 through 9 June 2019
ER -
