Optimal Allocation of Renewable Distributed Generators and Electric Vehicles in a Distribution System Using the Political Optimization Algorithm

Nagaraju Dharavat, Suresh Kumar Sudabattula, Suresh Velamuri, Sachin Mishra, Naveen Kumar Sharma, Mohit Bajaj, Elmazeg Elgamli (), Mokhtar Shouran and Salah Kamel
Additional contact information
Nagaraju Dharavat: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India
Suresh Kumar Sudabattula: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India
Suresh Velamuri: Symbiosis Institute of Technology, Symbiosis International Deemed University, Pune 412115, India
Sachin Mishra: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, India
Naveen Kumar Sharma: Department of Electrical Engineering, I. K. Gujral Punjab Technical University, Jalandhar 144603, India
Mohit Bajaj: Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, India
Elmazeg Elgamli: Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Mokhtar Shouran: Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Salah Kamel: Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt

Energies, 2022, vol. 15, issue 18, 1-25

Abstract: This paper proposes an effective approach to solve renewable distributed generators (RDGs) and electric vehicle charging station (EVCS) allocation problems in the distribution system (DS) to reduce power loss (P Loss ) and enhance voltage profile. The RDGs considered for this work are solar, wind and fuel cell. The uncertainties related to RDGs are modelled using probability distribution functions (PDF). These sources’ best locations and sizes are identified by the voltage stability index (VSI) and political optimization algorithm (POA). Furthermore, EV charging strategies such as the conventional charging method (CCM) and optimized charging method (OCM) are considered to study the method’s efficacy. The developed approach is studied on Indian 28 bus DS. Different cases are considered, such as a single DG, multiple DGs and a combination of DGs and EVs. This placement of multiple DGs along with EVs, considering proper scheduling patterns, minimizes P Loss and considerably improves the voltage profile. Finally, the proposed method is compared with other algorithms, and simulated results show that the POA method produces better results in all aspects.

Keywords: microgrid (MG); fuel cell; solar; wind; power loss (P Loss ); Electric Vehicles (EVs); optimized charging method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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