“Optimal placement and sizing of distributed generation in power distribution system: a comprehensive review”

ABSTRACT

The optimal placement and size of distributed generation (DG) in distribution networks has always been a challenge for utilities as well as customers in order to extract the maximum feasible advantages in terms of ecological, financial, and technical issues. The advantages of optimal placement and sizing of DG in a distribution system are to ensure the adequate performance of the distribution network, which entails minimizing system losses, enhancing voltage profiles, increasing system resilience, consistency, and load-bearing capacity. This study presents a survey of traditional, artificial intelligence, hybrid, and software-based strategies for optimal sizing and placement of DG. A comprehensive survey is briefly presented for modern distribution networks considering different parameters with the change in input, complexity level, and the results. The understanding of the presented techniques with their strengths and weakness will help the researchers working in the field of distributed generation.

KEYWORDS:

• Distributed generation
• Optimal location
• Optimal sizing
• Artificial intelligence
• Loss minimization

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Ankur Kumar

Ankur Kumar received his M.Tech from Graphic Era University, Dehradun in Year 2013. He is currently a doctoral research fellow at Motilal Nehru National Institute of Technology Allahabad, Prayagraj. His research interests include distributed power systems and protection.

Ritika Verma

Ritika Verma had received her M.Tech from MNNIT, Allahabad India in year 2022. She is working as a postgraduate engineer trainee in Alstom, India.

Niraj Kumar Choudhary

Dr. Niraj Kumar Choudhary is presently working as an Assistant. Professor in the Department of Electrical Engineering, MNNIT Allahabad, Prayagraj (U.P.), India. He has completed his M.E. from IIEST Shibpur, West Bengal and PhD from MNNIT Allahabad, India. His area of interest includes renewable energy and distributed generation-based power systems, power system protection, microgrid protection and smart-grid.

Nitin Singh

Dr. Nitin Singh is currently working as an Associate Professor in the Department of Electrical Engineering, MNNIT Allahabad, Prayagraj, India. His primary areas of research are Power System Planning, Electricity markets, Artificial Intelligence, implementation of optimization algorithms and machine learning techniques for power system optimization.