Clustering Combined Multi-Objective Optimal Operation of Transmission Systems Considering Voltage Stability

Kyeongseon Park, Dongyeong Lee, Gilsoo Jang

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years, power systems have undergone major changes called energy transitions during which synchronous generators have been replaced with power electronics-based generation. Therefore, the voltage stability of power systems has become a major concern owing to the absence of synchronous generators. This study proposes multi-objective optimization using the non-dominated sorting genetic algorithm III to achieve optimal reactive power reserve procurement and improve the voltage stability of the overall system. These systematic approaches require high computational power and are unsuitable for the operational frameworks currently used for large-scale power systems. Previous works have rarely considered the local characteristics of reactive power or generation de-commitment with sufficient re-dispatch owing to greater renewable energy integration. We propose a framework for achieving systematic optimization by considering various objective functions while utilizing the regional aspect of reactive power via spectral clustering-based voltage control area (VCA) identification. The proposed method comprises systematic and regional approaches to optimizing systems for voltage stability improvement based on VCAs. The results demonstrate that the proposed method shows satisfactory performance. These results will be helpful for decision making for power system operations in harsher environments with more renewable energy.

Original languageEnglish
Article number5914
JournalEnergies
Volume16
Issue number16
DOIs
Publication statusPublished - 2023 Aug

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • clustering
  • multi-objective optimization
  • reactive power reserve
  • two-stage operational framework
  • voltage control area
  • voltage stability

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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