Open Access10.1109/GCAT52182.2021.9587735
Power System Stabilization Using Optimization Technique
Khamlalson Naulak,Aman Kumar,Simon Tongbram +2 more
- 01 Oct 2021
3
TL;DR: In this paper, the authors have used particle swarm optimization technique in this paper for studying the power system stability by minimizing the losses in the electrical system In this paper, they looked upon the use of Particle Swarm optimization in optimizing the losses and compared the result with traditional computation methods.
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Abstract: This paper discusses the importance of power system stabilization and includes a detailed analysis of how to reduce power system losses. It discusses how power system instabilities are caused by power losses and other causes leading to instability in the power system and the need of power system stability in current days and why it is important. In this paper we have worked on optimizing the power system using optimization technique. We have also studied and compared different types of optimization techniques for stabilizing the power system. We have used particle swarm optimization technique in this paper for studying the power system stability by minimizing the losses in the electrical system In this paper, we looked upon the use of Particle Swarm optimization in optimizing the losses in a standard 3-bus Power System and compared the result with traditional computation methods. Our main motive in this paper aims to improve the voltage profile of the system, resulting in overall system improvement, by reducing power losses such as Active Power Losses and Reactive Power Losses. We have compared the final result of optimization with traditional method suggesting the better way to reduce power losses and maintaining a healthy and stable power system.
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Citations
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TL;DR: In this article , a power system with modern intelligent electronic devices, distributed generation and hybrid type superconducting fault current limiter is used for data integration, data analysis and data visualization.
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References
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
TL;DR: This survey presented a comprehensive investigation of PSO, including its modifications, extensions, and applications to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology.
Optimal Control of Reactive Power flow for Improvements in Voltage Profiles and for Real Power Loss Minimization
TL;DR: In this paper, a mathematical formulation of the optimal reactive power control (optimal VAR control) problem and results from tests of the algorithm are presented in order to minimize the real power losses in the system.
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Optimal Reactive Power Dispatch Using Chaotic Bat Algorithm
Sylvere Mugemanyi,Zhaoyang Qu,Francois Xavier Rugema,Yunchang Dong,Christophe Bananeza,Lei Wang +5 more
TL;DR: The chaotic bat algorithm (CBA) is applied to solve the optimal reactive power dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale power systems, revealing the effectiveness and robustness of the CBA for solving the ORPD problem.
Particle Swarm Optimization with Various Inertia Weight Variants for Optimal Power Flow Solution
TL;DR: The objective of the proposed method is to find the steady-state operating point which minimizes the fuel cost, while maintaining an acceptable system performance in terms of limits on generator power, line flow, and voltage.
An Improved Particle Swarm Optimization Algorithm Using Eagle Strategy for Power Loss Minimization
Hamza Yapici,Nurettin Cetinkaya +1 more
TL;DR: An improved particle swarm optimization algorithm using eagle strategy (ESPSO) is proposed for solving reactive power optimization problem to minimize the power losses and shows that it is superior and more effective compared to the other methods.