Optimal Operation of Stand-Alone Microgrid Considering Emission Issues and Demand Response Program Using Whale Optimization Algorithm

Mehrdad Tahmasebi, Jagadeesh Pasupuleti, Fatemeh Mohamadian, Mohammad Shakeri, Josep M. Guerrero, M. Reyasudin Basir Khan, Muhammad Shahzad Nazir, Amir Safari and Najmeh Bazmohammadi
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Mehrdad Tahmasebi: Department of Electrical Engineering, Ilam Branch, Islamic Azad University, Ilam, Iran
Jagadeesh Pasupuleti: Institute of Sustainable Energy, Universiti Tenaga Nasional (The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Malaysia
Fatemeh Mohamadian: Electronic Instructor, Technical and Vocational Training Organization, Tehran 1345653868, Iran
Mohammad Shakeri: Institute of Sustainable Energy, Universiti Tenaga Nasional (The National Energy University), Jalan IKRAM-UNITEN, Kajang 43000, Malaysia
Josep M. Guerrero: Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark
M. Reyasudin Basir Khan: School of Engineering, Manipal International University, No. 1, Persiaran MIU, Nilai 71800, Malaysia
Muhammad Shahzad Nazir: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Amir Safari: Faculty of Technology & Natural Sciences, University of South-Eastern Norway, USN, 3616 Kongsberg, Norway
Najmeh Bazmohammadi: Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark

Sustainability, 2021, vol. 13, issue 14, 1-22

Abstract: Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions.

Keywords: microgrid; optimization management; operation; emission; demand response program; whale optimization algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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