Reliability-Based Cost Optimization in Power Distribution Systems Incorporating Distributed Generations and Capacitors

Abstract

Abstract—This paper presents the modified chaotic cuckoo search algorithm (MCCSA) based scheme for identifying the optimal capacity and location of distributed generation (DG) units and capacitors in the radial distribution system (RDS). The proposed technique finds the optimized capacities and sites of the DGs by minimizing two important cost-based objective functions. The first cost function is dependent on installation cost, purchase cost, cost per unit loss and operational cost of the capacitor. Further, the second cost function is a reliability-based objective function that depends on the power outage cost. The efficacy of the proposed technique has been tested on the IEEE 34 bus RDS modeled in the MATLAB platform. The impact of different loading (nominal, under and overloading conditions) on the proposed technique is assessed by including constant power, constant current and constant impedance loads. Extensive test cases have been carried out for deriving various technical benefits on power loss reduction, reliability, voltage stability index, and power factor improvement. The performance and robustness of the proposed scheme are compared with the existing schemes. The test results indicate that the proposed scheme can be a potential measure to determine the optimal capacity and location of the DGs and capacitors in the power distribution network.

Keywords:

• capacitor
• cost optimization
• distributed generation
• distribution system planning
• modified chaotic cuckoo search
• radial distribution system
• reliability

Additional information

Notes on contributors

Suman Biswal

Suman Biswal was born in Kolkata, West Bengal, India, on September 26, 1991. He received the B. Tech degree in Electrical Engineering from West Bengal University of Technology, Kolkata, India, in 2014, the M.E. degree in Power Engineering from Jadavpur University, Kolkata, India, in 2018. At present, he is pursuing PhD degree in the School of Electrical Sciences at the Indian Institute of Technology Bhubaneswar, Odisha, India. His area of research interests includes distribution system planning and microgrid protection.

Nikhil Kumar Sharma

Nikhil Kumar Sharma was born in Bilaspur, India, on April 10, 1987. He received the B. Tech degree in Electrical Engineering from National Institute of Technology Raipur, Chhattisgarh India, in 2010, M. Tech and PhD degree in Power System Engineering from Indian Institute of Technology Bhubaneswar, Odisha, India, in 2016 and 2021, respectively. His primary research interests include incipient and permanent fault localization in cables, microgrid protection, including relay coordination and application of PMUs and WAMS in microgrids.

Subhransu Ranjan Samantaray

Subhransu Ranjan Samantaray received B.Tech. degree from UCE Burla, Ph.D. degree from NIT Rourkela and Postdoctoral Studies from McGill University, Canada. He holds the position of Associate Professor in the School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, India. His major research interests include power system protection, PMU and WAMs and smart grid.