Enhancement of Technical, Economic and Environmental Benefits of RDN Using Jaya Algorithm Considering Renewables Uncertainties

Abstract

Due to a larger R/X ratio, distribution networks experience active power losses that are higher than those in transmission networks. Natural resources based on fossil fuels are becoming depleted as a result of rising load demand, which is of great concern to network operators. Besides, a major threat to the environment is the harmful emissions from fossil fuels. So, in order to address the rising demand for energy during this energy crisis, renewable energy sources like solar and wind power are excellent alternatives. This research presents a comparative evaluation of the enhancement of a constrained weighted-sum multi-objective function comprising voltage profile, economic, and environmental improvement factors using the Jaya algorithm for a PV and wind energy integrated radial distribution network. The outcomes of various combinations of PV and wind-based distributed generator integration at single, double, and triple points of typical IEEE 33 and 141 bus test systems have been compared with those of several promising methods. The novelty of the work lies in the fact that simultaneous analyses of technical, economic, and environmental impacts during optimal sizing and sitting of DG have not yet been reported in the literature. The highest relative improvements in overall objective are up to 4.05 and 2.02 times for IEEE 33 and 141 buses, respectively, considering the corresponding worst cases as references. The maximum reduction in the active power losses reported are 47.11% and 43.09% for IEEE 33 and 141 buses, respectively.

Keywords:

• Benefit cost ratio
• distributed generator
• distribution network
• emission cost benefit index
• Jaya algorithm
• voltage profile enhancement index

ACKNOWLEDGEMENTS

Anirban Chowdhury conducted the preliminary design and simulation work as well as drafted the manuscript. Ranjit Roy and Kamal Krishna Mandal validated the simulation work, results, and discussions, as well as the writing sequence, and assisted in the organization of the manuscript. All authors read the final manuscript and gave their approval. The authors declare that they do not have any competing interests.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The study was funded through the West Bengal State Departmental Fellowship Scheme (WBSDFS) by the Department of Higher Education, Government of West Bengal, India (Grant No: P-1/RS/152/22).

Notes on contributors

Anirban Chowdhury

Anirban Chowdhury received his B.Tech. degree in the field of electrical engineering in 2010. He pursued an M.E. in Power Engineering (Electrical) from Jadavpur University in 2013. He is currently pursuing a PhD at Jadavpur University in the field of Power Engineering under the West Bengal State Departmental Fellowship Scheme. He has industrial experience of 2 years and teaching experience of 7 years.

Ranjit Roy

Ranjit Roy completed his B.E. degree in Electrical Engineering in 2000, his M.E. degree in Electrical Engineering in 2004, and his Ph.D. in engineering in 2008 from the National Institute of Technology, Durgapur, India. He is currently engaged as a Professor and Dean of Engineering and Technology at SRM University, Delhi-NCR, Sonepat, India.

Kamal Krishna Mandal

Kamal Krishna Mandal completed his B.E. degree in Electrical Engineering from Jadavpur University, Kolkata, India, in 1986. He received his M.E. degree from Allahabad University, his U.P. and Ph.D. in 1998, and his Ph.D. in engineering from Jadavpur University. He has over 11 years of industrial experience. He is currently engaged as Professor, Department of Power Engineering, J.U. His research interests include Power system Optimization, Soft Computing Techniques, Power Economics, and power electronics.