Optimal Placement of Distributed Generators and Capacitors for Power Loss Reduction Using Crested Porcupine Algorithm

Authors

  • Shilpa Phatak Electrical Engineering Department Jabalpur Engineering College Jabalpur (MP), India
  • L. S. Titare Electrical Engineering Department Ujjain Engineering College Ujjain (MP), India
  • A. K. Sharma Electrical Engineering Department Jabalpur Engineering College Jabalpur (MP), India

DOI:

https://doi.org/10.13052/spee1048-5236.45314

Keywords:

Voltage profile, power loss, distributed generation, capacitor bank and voltage stability index

Abstract

In recent years, as the need for energy rises, the application of dispersed generation and shunt capacitors has become a more common solution to meet the growing demand of energy. The article presents a novel approach to optimise radial distribution networks, called the Crested Porcupine optimisation algorithm (CPOA), inspired by the behaviour of the Crested Porcupine. The proposed method is tested on the IEEE system, which has 33, 69 and 85 buses. The purpose of this work is to lower the cost and power loss while improving the voltage profile and voltage stability index (VSI) using the Capacitor Banks (CB) and Distributed Generator (DG) units at the correct location and of appropriate size. Inclusion of load models is also taken into consideration.

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Author Biography

Shilpa Phatak, Electrical Engineering Department Jabalpur Engineering College Jabalpur (MP), India

Shilpa Phatak received the bachelor’s degree in electrical engineering from CSVTU in 2010, the master’s degree in High voltage from RGPV Bhopal in 2014, respectively and pursuing the philosophy of doctorate degree from RGPV Bhopal. Her research areas include power system, renewable energy sources, smart grid etc.

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Published

2026-07-22

How to Cite

Phatak, S. ., Titare, L. S. ., & Sharma, A. K. . (2026). Optimal Placement of Distributed Generators and Capacitors for Power Loss Reduction Using Crested Porcupine Algorithm. Strategic Planning for Energy and the Environment, 45(03), 1007–1034. https://doi.org/10.13052/spee1048-5236.45314

Issue

Section

Clean Energy Generation and Integration in Power Systems