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Proceedings ArticleDOI

Particle Swarm Optimization Based Capacitor Placement on Radial Distribution Systems

K. Prakash, +1 more
- pp 1-5
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TLDR
In this paper, the optimal location and size of capacitors on radial distribution systems to improve voltage profile and reduce the active power loss are done by loss sensitivity factors and particle swarm optimization respectively.
Abstract
This paper presents a novel approach that determines the optimal location and size of capacitors on radial distribution systems to improve voltage profile and reduce the active power loss. Capacitor placement & sizing are done by loss sensitivity factors and particle swarm optimization respectively. The concept of loss sensitivity factors and can be considered as the new contribution in the area of distribution systems. Loss sensitivity factors offer the important information about the sequence of potential nodes for capacitor placement. These factors are determined using single base case load flow study. particle swarm optimization is well applied and found to be very effective in radial distribution systems. The proposed method is tested on 10,15, 34, 69 and 85 bus distribution systems.

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Citations
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Journal ArticleDOI

Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation

TL;DR: In this paper, a meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network.
Journal ArticleDOI

Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm

TL;DR: In this paper, a new and efficient approach for capacitor placement in radial distribution systems that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss is presented.
Journal ArticleDOI

Optimal capacitor placement in radial distribution systems using teaching learning based optimization

TL;DR: In this article, a teaching learning based optimization (TLBO) approach is proposed to minimize power loss and energy cost by optimal placement of capacitors in radial distribution systems, where learners improve their knowledge or ability through the teaching methodology of teacher and in second part learners increase their knowledge by interactions among themselves.
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Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization

TL;DR: A new approach to find the optimal location and size of DG with an objective of minimizing network power losses, operational costs and improving voltage stability is presented.
References
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Proceedings ArticleDOI

Particle swarm optimization

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Proceedings ArticleDOI

A modified particle swarm optimizer

TL;DR: A new parameter, called inertia weight, is introduced into the original particle swarm optimizer, which resembles a school of flying birds since it adjusts its flying according to its own flying experience and its companions' flying experience.
Proceedings ArticleDOI

Empirical study of particle swarm optimization

TL;DR: The experimental results show that the PSO is a promising optimization method and a new approach is suggested to improve PSO's performance near the optima, such as using an adaptive inertia weight.
Journal ArticleDOI

Optimal capacitor placement on radial distribution systems

TL;DR: In this article, the problem of capacitors placement on a radial distribution system is formulated and a solution algorithm is proposed, where the location, type, and size of the capacitors, voltage constraints, and load variations are considered.
Journal ArticleDOI

Optimal sizing of capacitors placed on a radial distribution system

TL;DR: In this paper, a nonlinear programming problem for capacitors placed on a radial distribution system is formulated and a solution algorithm is developed to find the optimal size of capacitors so that the power losses will be minimized for a given load profile while considering the cost of the capacitors.
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