Publication detail

New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability

Jahannoosh, M., Nowdeh, S.A., Naderipour, A., Kamyab, H., Davoudkhani, I.F., Klemeš, J.J.

Original Title

New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability

Type

journal article in Web of Science

Language

English

Original Abstract

In this paper optimal and cost-effective design of a photovoltaic/wind turbine/fuel cell (PV/WT/FC), the renewable energy system is proposed with the objective of lifespan cost of hybrid system (LSCS) minimisation and considering reliability constraint as a maximum of load interruption probability (LIP) as LIPmax to supply the demand of residential-commercial centres (RCC) located in Iran based on real data of irradiance and wind speed of this region. A new hybrid meta-heuristic algorithm named hybrid grey wolf optimiser-sine cosine algorithm (HGWOSCA) based on the exponential decreasing function (EDF) with high accuracy and speed of optimisation in achieving to the global solution is applied to determine the optimal size of system components. The superiority of the proposed HGWOSCA is compared with SCA, GWO and particle swarm optimisation (PSO) methods in designing of different combinations of the hybrid system and under varying reliability constraint. The results showed that the PV/WT/FC combination is the best combination in view of LSCS and LIPmax for supplying the RCC as a cost-effective and reliable combination. The superiority of the HGWOSCA in designing different combinations of the hybrid system is proved with fewer LSCS and LIP than the other methods with more convergence speed and accuracy. The results clearly showed that the use of hydrogen storage as a reserve power has well compensated the fluctuations in renewable sources production for meeting the RCC load to achieve optimal reliability. The results cleared that the cost of per kW of RCC supply for LIPmax = 1% and LIPmax = 5% is 0.853 and 0.764 $. The results indicated that increasing the failure rate of the components increases the system cost and weakens the reliability. In addition, the results showed that increased FC efficiency has reduced the level of reserve hydrogen, reduced the LSCS, and improved reliability. © 2020

Keywords

Hybrid photovoltaic/wind/FC System; Optimal and cost-effective designing; Load interruption probability; Hybrid meta-heuristic grey wolf optimiser

Authors

Jahannoosh, M., Nowdeh, S.A., Naderipour, A., Kamyab, H., Davoudkhani, I.F., Klemeš, J.J.

Released

1. 1. 2021

Publisher

ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

ISBN

0959-6526

Periodical

Journal of Cleaner Production

Number

278

State

United Kingdom of Great Britain and Northern Ireland

Pages from

123406

Pages to

123406

Pages count

22

URL

https://www.sciencedirect.com/science/article/pii/S095965262033451X?via%3Dihub

BibTex

@article{BUT167969,
  author="Jiří {Klemeš}",
  title="New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability",
  journal="Journal of Cleaner Production",
  year="2021",
  number="278",
  pages="123406--123406",
  doi="10.1016/j.jclepro.2020.123406",
  issn="0959-6526",
  url="https://www.sciencedirect.com/science/article/pii/S095965262033451X?via%3Dihub"
}