Optimal Placement of Static Var Compensator using Hybrid Optimization Technique

Titus Muchindu, K. A. Ogudo, P. N. Bokoro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper discusses the effectiveness of hybrid optimization for the placement of Static Var Compensator (SVC) within electricity networks. The ultimate goal is to minimize transmission losses and enhance voltage stability by strategically positioning SVCs. The challenge of identifying the most suitable locations for SVC installation is addressed through a hybrid optimization framework. The practicality of the recommended framework is evaluated using the IEEE 14 and 30 Bus networks under various circumstances of loading. The evaluation involves comparing the performance of the traditional approach, which operates without (SVCs) with the results obtained from applying the hybrid optimization algorithm implemented in MATLAB R2020a. Results show that the hybrid approach demonstrated better system stability by achieving a voltage stability index that was around 2% lower than that of the traditional approach. Additionally, it showed improved energy efficiency by reducing real power losses by roughly 0.5%. Significantly more stable load voltages were ensured by the hybrid technique, which reduced load voltage variance by more than 50%. Its overall goal function decreased by about 0.1%, indicating improved system optimization. Furthermore, the hybrid approach was a more economical alternative because its hourly operating costs were about 0.03% lower. SVCs enhance voltage stability, reducing grid unpredictability and facilitating the integration of renewable energy sources. They contribute to climate objectives, support sustainable transitions, and manage complex, high-capacity networks while ensuring their reliability and resilience.

Original languageEnglish
Title of host publicationProceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331535162
DOIs
Publication statusPublished - 2025
Event33rd Southern African Universities Power Engineering Conference, SAUPEC 2025 - Pretoria, South Africa
Duration: 29 Jan 202530 Jan 2025

Publication series

NameProceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025

Conference

Conference33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
Country/TerritorySouth Africa
CityPretoria
Period29/01/2530/01/25

Keywords

  • FACTS Devices
  • Genetic Search Algorithm (GSA)
  • Hybrid Optimization Framework
  • Power Transfer Capability
  • Static Var Compensators (SVCs)
  • Swarm Intelligence Optimization (SIO)
  • Voltage Stability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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