Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA

Normazlina Mat Isa; Abba Lawan Bukar; Tan Chee Wei; Arief Marwanto

doi:10.1109/CENCON47160.2019.8974742

Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA

Normazlina Mat Isa, Abba Lawan Bukar, Tan Chee Wei, Arief Marwanto

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

10 Scopus citations

Abstract

A design of hybrid FC-PV cogeneration with battery storage have to be sized optimally in order to meet the load demand requirement at the minimum annual operation cost and high reliability. In this regards, both factor of economical and reliability have been considered with the appropriate parameters. This paper presents the sizing approaches for hybrid FC-PV cogeneration integrated with a battery storage. The objective function is to minimize the life cycle cost subjected to the battery and fuel cell constraints. In order to solve the formulated optimization problem, the proposed Hybrid PSOGA (HPSOGA) is utilized where the simulation results are compared to the original PSO and GA, separately. The comparison shows that the HPSOGA give fastest convergence compared to PSO and GA for the same input data. In addition, the HPSOGA give the best optimal size in comparison to the original PSO and GA. The results also prove that the optimal system sizing can deliver the energy and full fill the load demands successfully.

Original language	English
Title of host publication	CENCON 2019 - 2019 IEEE Conference on Energy Conversion
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	159-164
Number of pages	6
ISBN (Electronic)	9781728134338
DOIs	https://doi.org/10.1109/CENCON47160.2019.8974742
State	Published - Oct 2019
Externally published	Yes
Event	4th IEEE Conference on Energy Conversion, CENCON 2019 - Yogyakarta, Indonesia Duration: 16 Oct 2019 → 17 Oct 2019

Publication series

Name	CENCON 2019 - 2019 IEEE Conference on Energy Conversion
Volume	2019-January

Conference

Conference	4th IEEE Conference on Energy Conversion, CENCON 2019
Country/Territory	Indonesia
City	Yogyakarta
Period	16/10/19 → 17/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

cogeneration
hybrid algorithm
optimization
sizing

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Optimization
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

UN SDGs

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

Access to Document

10.1109/CENCON47160.2019.8974742

Cite this

Isa, N. M., Bukar, A. L., Wei, T. C., & Marwanto, A. (2019). Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA. In CENCON 2019 - 2019 IEEE Conference on Energy Conversion (pp. 159-164). Article 8974742 (CENCON 2019 - 2019 IEEE Conference on Energy Conversion; Vol. 2019-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENCON47160.2019.8974742

@inproceedings{5d2488af306c47f194285c31e5977c31,

title = "Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA",

abstract = "A design of hybrid FC-PV cogeneration with battery storage have to be sized optimally in order to meet the load demand requirement at the minimum annual operation cost and high reliability. In this regards, both factor of economical and reliability have been considered with the appropriate parameters. This paper presents the sizing approaches for hybrid FC-PV cogeneration integrated with a battery storage. The objective function is to minimize the life cycle cost subjected to the battery and fuel cell constraints. In order to solve the formulated optimization problem, the proposed Hybrid PSOGA (HPSOGA) is utilized where the simulation results are compared to the original PSO and GA, separately. The comparison shows that the HPSOGA give fastest convergence compared to PSO and GA for the same input data. In addition, the HPSOGA give the best optimal size in comparison to the original PSO and GA. The results also prove that the optimal system sizing can deliver the energy and full fill the load demands successfully.",

keywords = "cogeneration, hybrid algorithm, optimization, sizing",

author = "Isa, \{Normazlina Mat\} and Bukar, \{Abba Lawan\} and Wei, \{Tan Chee\} and Arief Marwanto",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 4th IEEE Conference on Energy Conversion, CENCON 2019 ; Conference date: 16-10-2019 Through 17-10-2019",

year = "2019",

month = oct,

doi = "10.1109/CENCON47160.2019.8974742",

language = "English",

series = "CENCON 2019 - 2019 IEEE Conference on Energy Conversion",

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

pages = "159--164",

booktitle = "CENCON 2019 - 2019 IEEE Conference on Energy Conversion",

address = "United States",

}

Isa, NM, Bukar, AL, Wei, TC & Marwanto, A 2019, Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA. in CENCON 2019 - 2019 IEEE Conference on Energy Conversion., 8974742, CENCON 2019 - 2019 IEEE Conference on Energy Conversion, vol. 2019-January, Institute of Electrical and Electronics Engineers Inc., pp. 159-164, 4th IEEE Conference on Energy Conversion, CENCON 2019, Yogyakarta, Indonesia, 16/10/19. https://doi.org/10.1109/CENCON47160.2019.8974742

Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA. / Isa, Normazlina Mat; Bukar, Abba Lawan; Wei, Tan Chee et al.
CENCON 2019 - 2019 IEEE Conference on Energy Conversion. Institute of Electrical and Electronics Engineers Inc., 2019. p. 159-164 8974742 (CENCON 2019 - 2019 IEEE Conference on Energy Conversion; Vol. 2019-January).

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

TY - GEN

T1 - Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA

AU - Isa, Normazlina Mat

AU - Bukar, Abba Lawan

AU - Wei, Tan Chee

AU - Marwanto, Arief

PY - 2019/10

Y1 - 2019/10

N2 - A design of hybrid FC-PV cogeneration with battery storage have to be sized optimally in order to meet the load demand requirement at the minimum annual operation cost and high reliability. In this regards, both factor of economical and reliability have been considered with the appropriate parameters. This paper presents the sizing approaches for hybrid FC-PV cogeneration integrated with a battery storage. The objective function is to minimize the life cycle cost subjected to the battery and fuel cell constraints. In order to solve the formulated optimization problem, the proposed Hybrid PSOGA (HPSOGA) is utilized where the simulation results are compared to the original PSO and GA, separately. The comparison shows that the HPSOGA give fastest convergence compared to PSO and GA for the same input data. In addition, the HPSOGA give the best optimal size in comparison to the original PSO and GA. The results also prove that the optimal system sizing can deliver the energy and full fill the load demands successfully.

AB - A design of hybrid FC-PV cogeneration with battery storage have to be sized optimally in order to meet the load demand requirement at the minimum annual operation cost and high reliability. In this regards, both factor of economical and reliability have been considered with the appropriate parameters. This paper presents the sizing approaches for hybrid FC-PV cogeneration integrated with a battery storage. The objective function is to minimize the life cycle cost subjected to the battery and fuel cell constraints. In order to solve the formulated optimization problem, the proposed Hybrid PSOGA (HPSOGA) is utilized where the simulation results are compared to the original PSO and GA, separately. The comparison shows that the HPSOGA give fastest convergence compared to PSO and GA for the same input data. In addition, the HPSOGA give the best optimal size in comparison to the original PSO and GA. The results also prove that the optimal system sizing can deliver the energy and full fill the load demands successfully.

KW - cogeneration

KW - hybrid algorithm

KW - optimization

KW - sizing

UR - https://www.scopus.com/pages/publications/85084432131

U2 - 10.1109/CENCON47160.2019.8974742

DO - 10.1109/CENCON47160.2019.8974742

M3 - Conference contribution

AN - SCOPUS:85084432131

T3 - CENCON 2019 - 2019 IEEE Conference on Energy Conversion

SP - 159

EP - 164

BT - CENCON 2019 - 2019 IEEE Conference on Energy Conversion

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE Conference on Energy Conversion, CENCON 2019

Y2 - 16 October 2019 through 17 October 2019

ER -

Optimal Sizing of Hybrid Fuel Cell and PV Employing Hybrid PSO-GA

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this