Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm

Rubina Khan; Nilutpal Gogoi; Joydev Barman; Abdul Latif; Dulal Chandra Das

doi:10.1109/TENSYMP46218.2019.8971246

Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm

Rubina Khan, Nilutpal Gogoi, Joydev Barman, Abdul Latif, Dulal Chandra Das

NIT Silchar Electrical Engineering Departmet

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

This paper investigates the stabilization of frequency of a grid connected microgrid in presence of solar photovoltaic (PV), wind turbine (WT) and biodiesel electric generator (BDEG) as electric source and heat pump (HP), plug-in hybrid electric vehicles (PHEV) as controllable load along with a critical load. Virtual power plant (VPP) coordinated control concept has been applied where proportional-integral (PI) or proportional-integral-derivate (PID) controller are used with BDEG, HP, PHEV to adjust the output power as decided by the VPP coordinator. A metaheuristic algorithm, Firefly Algorithm (FFA) is used to tune the controllers. The Microgrid is stimulated for step variations in the PV and WT generation and critical load. The comparative analysis of two metaheuristic algorithms (PSO and FFA) optimized PI/PID controllers have been investigated in terms of peak deviations, settling time and objective function. The proposed system is simulated under MATLAB-Simulink environment and shows that FFA optimized PID controller is better than rest one.

Original language	British English
Title of host publication	Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	795-800
Number of pages	6
ISBN (Electronic)	9781728102979
DOIs	https://doi.org/10.1109/TENSYMP46218.2019.8971246
State	Published - Jun 2019
Event	2019 IEEE Region 10 Symposium, TENSYMP 2019 - Kolkata, India Duration: 7 Jun 2019 → 9 Jun 2019

Publication series

Name	Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019

Conference

Conference	2019 IEEE Region 10 Symposium, TENSYMP 2019
Country/Territory	India
City	Kolkata
Period	7/06/19 → 9/06/19

Keywords

Firefly algorithm (FFA)
Frequency control
Hybrid micro-grid (HMG)
Virtual power plant (VPP)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TENSYMP46218.2019.8971246

Cite this

Khan, R., Gogoi, N., Barman, J., Latif, A., & Das, D. C. (2019). Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm. In Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019 (pp. 795-800). Article 8971246 (Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENSYMP46218.2019.8971246

Khan, Rubina ; Gogoi, Nilutpal ; Barman, Joydev et al. / Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm. Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 795-800 (Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019).

@inproceedings{e65149beed8e4fb8aa29b473909c408b,

title = "Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm",

abstract = "This paper investigates the stabilization of frequency of a grid connected microgrid in presence of solar photovoltaic (PV), wind turbine (WT) and biodiesel electric generator (BDEG) as electric source and heat pump (HP), plug-in hybrid electric vehicles (PHEV) as controllable load along with a critical load. Virtual power plant (VPP) coordinated control concept has been applied where proportional-integral (PI) or proportional-integral-derivate (PID) controller are used with BDEG, HP, PHEV to adjust the output power as decided by the VPP coordinator. A metaheuristic algorithm, Firefly Algorithm (FFA) is used to tune the controllers. The Microgrid is stimulated for step variations in the PV and WT generation and critical load. The comparative analysis of two metaheuristic algorithms (PSO and FFA) optimized PI/PID controllers have been investigated in terms of peak deviations, settling time and objective function. The proposed system is simulated under MATLAB-Simulink environment and shows that FFA optimized PID controller is better than rest one.",

keywords = "Firefly algorithm (FFA), Frequency control, Hybrid micro-grid (HMG), Virtual power plant (VPP)",

author = "Rubina Khan and Nilutpal Gogoi and Joydev Barman and Abdul Latif and Das, {Dulal Chandra}",

note = "Funding Information: ACKNOWLEDGMENT Authors are very much thankful to TEQIP-III NIT Silchar, for supporting and proving funds to complete this work. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Region 10 Symposium, TENSYMP 2019 ; Conference date: 07-06-2019 Through 09-06-2019",

year = "2019",

month = jun,

doi = "10.1109/TENSYMP46218.2019.8971246",

language = "British English",

series = "Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "795--800",

booktitle = "Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019",

address = "United States",

}

Khan, R, Gogoi, N, Barman, J, Latif, A & Das, DC 2019, Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm. in Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019., 8971246, Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019, Institute of Electrical and Electronics Engineers Inc., pp. 795-800, 2019 IEEE Region 10 Symposium, TENSYMP 2019, Kolkata, India, 7/06/19. https://doi.org/10.1109/TENSYMP46218.2019.8971246

Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm. / Khan, Rubina; Gogoi, Nilutpal; Barman, Joydev et al.
Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 795-800 8971246 (Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm

AU - Khan, Rubina

AU - Gogoi, Nilutpal

AU - Barman, Joydev

AU - Latif, Abdul

AU - Das, Dulal Chandra

PY - 2019/6

Y1 - 2019/6

N2 - This paper investigates the stabilization of frequency of a grid connected microgrid in presence of solar photovoltaic (PV), wind turbine (WT) and biodiesel electric generator (BDEG) as electric source and heat pump (HP), plug-in hybrid electric vehicles (PHEV) as controllable load along with a critical load. Virtual power plant (VPP) coordinated control concept has been applied where proportional-integral (PI) or proportional-integral-derivate (PID) controller are used with BDEG, HP, PHEV to adjust the output power as decided by the VPP coordinator. A metaheuristic algorithm, Firefly Algorithm (FFA) is used to tune the controllers. The Microgrid is stimulated for step variations in the PV and WT generation and critical load. The comparative analysis of two metaheuristic algorithms (PSO and FFA) optimized PI/PID controllers have been investigated in terms of peak deviations, settling time and objective function. The proposed system is simulated under MATLAB-Simulink environment and shows that FFA optimized PID controller is better than rest one.

AB - This paper investigates the stabilization of frequency of a grid connected microgrid in presence of solar photovoltaic (PV), wind turbine (WT) and biodiesel electric generator (BDEG) as electric source and heat pump (HP), plug-in hybrid electric vehicles (PHEV) as controllable load along with a critical load. Virtual power plant (VPP) coordinated control concept has been applied where proportional-integral (PI) or proportional-integral-derivate (PID) controller are used with BDEG, HP, PHEV to adjust the output power as decided by the VPP coordinator. A metaheuristic algorithm, Firefly Algorithm (FFA) is used to tune the controllers. The Microgrid is stimulated for step variations in the PV and WT generation and critical load. The comparative analysis of two metaheuristic algorithms (PSO and FFA) optimized PI/PID controllers have been investigated in terms of peak deviations, settling time and objective function. The proposed system is simulated under MATLAB-Simulink environment and shows that FFA optimized PID controller is better than rest one.

KW - Firefly algorithm (FFA)

KW - Frequency control

KW - Hybrid micro-grid (HMG)

KW - Virtual power plant (VPP)

UR - http://www.scopus.com/inward/record.url?scp=85079269630&partnerID=8YFLogxK

U2 - 10.1109/TENSYMP46218.2019.8971246

DO - 10.1109/TENSYMP46218.2019.8971246

M3 - Conference contribution

AN - SCOPUS:85079269630

T3 - Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019

SP - 795

EP - 800

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 -

Khan R, Gogoi N, Barman J, Latif A, Das DC. Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm. In Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 795-800. 8971246. (Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019). doi: 10.1109/TENSYMP46218.2019.8971246

Virtual Power Plant enabled Co-ordinated Frequency Control of a grid connected Independent Hybrid Microgrid using Firefly algorithm

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this