Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems

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Year : 2025 | Volume : 15 | 03 | Page :
    By

    Zabir Ahmed,

  • Kamaljeet Singh,

  • Parwinder Singh,

  1. Post Graduate Student, Department of Electrical Engineering, I.K. Gujral Punjab Technical University, Jalandhar, Punjab, India
  2. Assistant Professor, Department of Electrical Engineering, I.K. Gujral Punjab Technical University, Jalandhar, Punjab, India
  3. Assistant Professor, Department of Electrical Engineering, I.K. Gujral Punjab Technical University, Jalandhar, Punjab, India

Abstract

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Reactive power management and optimization are necessary for the effective, stable, and reliable working of modern power systems. Without proper management, reactive power is responsible for additional losses in transmission, reduced capability of power transfer, and poor voltage stability conditions, thus forming a basis for developing advanced techniques of optimization. This paper discusses the innovative methods in Reactive Power Optimization (RPO) using met heuristic algorithms, namely the Self-Balanced Differential Evolution (SBDE) and Multi-Objective Particle Swarm Optimization (MOPSO). The main objective of the study is to design an SBDE-based method for solving the RPO problem, evaluate MOPSO for optimizing real power loss, voltage deviation, and L-Index, and evaluate the performance of SBDE under contingency conditions like transmission line outages. Problem formulation, algorithm design, contingency analysis, and performance evaluation have been incorporated based on the research methodology using MATLAB’s MATPOWER toolbox. IEEE-30, IEEE-57, and IEEE-118 bus systems have been used as benchmark test systems. SBDE could effectively prove superior searching capability, faster convergence, and higher efficiency in minimizing power loss and voltage deviation under both normal and stressed conditions. MOPSO is expected to achieve a good balance between conflicting objectives and thus will lead to enhanced system stability. Further, the robustness of SBDE in handling contingency scenarios will be verified by simulating the outage of transmission lines. The effectiveness of the proposed methods will be validated through comparative analysis with conventional and modern optimization techniques. This research is likely to contribute highly to the advancement of power system optimization since it integrates met heuristic approaches with artificial intelligence and machine learning, thus paving the way for automated and intelligent reactive power management solutions in smart grids.

Keywords: Reactive power optimization (RPO), self-balanced differential evolution (SBDE), multi- objective particle swarm optimization (MOPSO), voltage stability and power loss minimization, met heuristic algorithms in smart grids

How to cite this article:
Zabir Ahmed, Kamaljeet Singh, Parwinder Singh. Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems. Journal of Power Electronics and Power Systems. 2025; 15(03):-.
How to cite this URL:
Zabir Ahmed, Kamaljeet Singh, Parwinder Singh. Innovative Approaches to Reactive Power Management and Optimization in Modern Power systems. Journal of Power Electronics and Power Systems. 2025; 15(03):-. Available from: https://journals.stmjournals.com/jopeps/article=2025/view=0


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Ahead of Print Subscription Original Research
Volume 15
03
Received 23/06/2025
Accepted 27/06/2025
Published 07/08/2025
Publication Time 45 Days
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