An Optimal Multi-Objective Approach for Distributed Generation and AVR Placement in Distribution Networks Using IPMBSA

Abstract

Inclusion of automatic voltage regulators (AVRs) and distributed generation units (DGs) in the distribution system (DS) will enhance the system performance if allocated optimally. Optimal allocation of AVRs and DGs is a complex combinatorial problem requiring a powerful optimization algorithm for solving the optimization problem. This paper proposes an improved pareto multi-objective backtracking search algorithm (IPMBSA) based Pareto front approach for optimal siting and sizing of DGs and AVRs. The proposed approach considers DS technical (such as minimizing of voltage deviation, power losses and voltage stability index), cost and emission indices as objective functions while solving the allocation problem. To evaluate the performance of the proposed approach, five different operational scenarios are considered for analysis on IEEE 33-bus, IEEE 69-bus and practical 43-bus Indian distribution test systems. The effectiveness of the proposed approach is highlighted by comparison of results obtained using a multi-objective approach based on NSGA-II and weighted sum method (WSM). Results propounded that allocation of DG along with AVR yielded better DS performance compared to the scenarios where only DG or AVRs are placed in DS.

Keywords:

• Multi-objective approach
• DG placement
• AVR placement
• IPMBSA
• NSGA-II

Additional information

Notes on contributors

K. R. K. V. Prasad

K. R. K. V. Prasad received the Ph.D. degree in Electrical & Electronics Engineering from the Jawaharlal Nehru Technology University, Kakinada, India in 2021. He is currently an Associate Professor with the Aditya College of Engineering and Technology, Andhra Pradesh, India. He received the BTech degree in Electrical & Electronics Engineering in 2004 from ASR College of Engineering Tanuku and the MTech degree In Electrical & Electronics Engineering in 2009 from Jawaharlal Nehru Technology University, Kakinada, India. His research interests include power systems, optimization and Electric Vehicles.

Ravindra Kollu

Ravindra Kollu received his Ph.D. degree in Electrical & Electronics Engineering from Jawaharlal Nehru Technology University Kakinada, India in 2013. Currently he is working as a Professor in Electrical & Electronics Engineering department, University College of Engineering Kakinada, JNTU Kakinada. His areas of interest include power converters, renewable energy systems and application of evolutionary techniques for electrical engineering.

Sharad Kumar Tiwari

Sharad Kumar Tiwari received the Ph.D. degree in Electrical & Instrumentation engineering from the Thapar Institute of Engineering and Technology, Patiala, India in 2019. He is currently an Assistant Professor with the Vignan's Foundation for Science, Technology and Research, Andhra Pradesh, India. He received the BTech degree in Electronics & Instrumentation Engineering in 2009 from Uttar Pradesh Technical University and the ME degree in Electronic Instrumentation & Control Engineering in 2011 from Thapar University, India. His research interests include modeling and control, model order reduction, optimization and artificial intelligent systems.