A Novel Hybrid Optimization Approach for Optimal Allocation of Distributed Generation and Distribution Static Compensator with Network Reconfiguration in Consideration of Electric Vehicle Charging Station

Abstract

Electric vehicle charging station (EVCS) infrastructure development is a crucial part of the sustainable growth of the electric vehicle (EV) industry. However, the installation of EVCS may negatively affect the performance of the distribution system. This article presents a novel hybrid optimization approach to solve the optimal allocation problem of EVCS with network reconfiguration in the presence of distributed generation (DG) and distribution static compensator (DSTATCOM), with the objectives of reducing the voltage deviation, real power loss, and investment costs of DGs and DSTATCOMs while improving the voltage stability of the distribution network. A hybrid of African vulture optimization and pattern search (HAVOPS) algorithm is proposed to solve this problem. The impacts of EVCSs are examined for the 33-bus and 136-bus systems with five different cases of DG and DSTATCOM placement with reconfiguration of the network. The efficacy and performance of the HAVOPS algorithm are validated by comparison to the results of the African vulture optimization algorithm, marine predators’ algorithm, grey wolf optimizer, artificial gorilla troops optimizer, and genetic algorithm. According to the findings, the HAVOPS algorithm is superior to the other methods in terms of the merit of the solutions it produces.

Keywords:

• distributed generation
• electric vehicles charging station
• network reconfiguration
• distribution static compensator
• optimization techniques

Additional information

Notes on contributors

Arvind Pratap

Arvind Pratap received the B.Tech. Degree in Electrical Engineering from Babu Banarasi Das National Institute of Technology and Management, Lucknow, India, in 2013 and M.Tech. Degree from Kamla Nehru Institute of Technology Sultanpur, India, in 2017. Currently, he is a research scholar at MMMUT, Gorakhpur, India. His research interests are in the enhancement of power quality of distribution systems by DG and FACTS controllers.

Prabhakar Tiwari

Prabhakar Tiwari received the B.Tech. Degree in Electrical Engineering from the MMM Engineering College, Gorakhpur, India, in 1998, and the M.Tech. degree from IIT Delhi and Ph.D. Degree in Electrical Engineering from JMI, Central University New Delhi, India, in 2012. Currently, he is serving as a Faculty Member with the Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India. His research interests are DG planning, PV system, power system pricing and electrical vehicle.

Rakesh Maurya

Rakesh Maurya received the B.Tech. Degree in Electrical Engineering from the Kamla Nehru Institute of Technology, Sultanpur, India, in 1998, and the M.Tech. degree in power electronics and electric drives and the Ph.D. Degree in Electrical Engineering from the Indian Institute of Technology, Roorkee, India, in 2002 and 2014, respectively. Currently, he is serving as a Faculty Member with the Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India. Dr. Maurya is a Life Member of the System Society of India. His research interests include design of switching power converters, high power factor ac/dc converters, hybrid output converters, power quality problems, advanced electric drives, and applications of the real time simulator for the control of power converters.

Bindeshwar Singh

Bindeshwar Singh received the M.Tech. in Electrical Engineering from the Indian Institute of Technology, Roorkee, in 2001. He received his Ph. D. degree from IIT (ISM) Dhanbad, Jharkhand, India in 2017. He is currently an Associate Professor with the Department of Electrical Engineering at the Kamla Nehru Institute of Technology, Sultanpur, U.P., India, where he has been since August 2009. His research interests are in the coordination of FACTS controllers, DGs, and power system engineering.