MINIMIZING POWER LOSS BY PLACING DG OPTIMALLY IN DISTRIBUTION SYSTEM BY PSO TECHNIQUE

— This paper presents optimal placement and sizing of Distributed Generation (DG) by using an intelligence technique called Particle Swarm Optimization (PSO). Here the objective function is considered as minimization of active power loss. The proposed methodology is applied and tested for IEEE 33 and IEEE 69 bus radial distribution systems. The result shows that the proposed algorithm is more effective.

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Principle Optimal Placement and Sizing of Single Distributed Generation for Power Loss Reduction using Particle Swarm Optimization

Research Journal of Applied Sciences Engineering and Technology ◽

10.19026/rjaset.7.382 ◽

2014 ◽

Vol 7 (6) ◽

pp. 1211-1216 ◽

Cited By ~ 2

Author(s):

Weerachai Phuangpornpitak ◽

Krischonme Bhumkittipich

Keyword(s):

Particle Swarm Optimization ◽

Distributed Generation ◽

Power Loss ◽

Particle Swarm ◽

Optimal Placement ◽

Loss Reduction ◽

Swarm Optimization ◽

Power Loss Reduction

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Optimal reconfiguration/distributed generation integration in distribution system using adaptive weighted improved discrete particle swarm optimization

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ◽

10.1108/compel-08-2017-0344 ◽

2019 ◽

Vol 38 (1) ◽

pp. 247-262 ◽

Cited By ~ 4

Author(s):

Manikandan Subramaniyan ◽

Sasitharan Subramaniyan ◽

Moorthy Veeraswamy ◽

Viswanatha Rao Jawalkar

Keyword(s):

Particle Swarm Optimization ◽

Energy Consumption ◽

Distributed Generation ◽

Distribution System ◽

Power Loss ◽

Energy Resources ◽

Discrete Particle Swarm Optimization ◽

Swarm Optimization ◽

Content Type ◽

Discrete Particle

Purpose This paper aims to address not only technical and economic challenges in electrical distribution system but also environmental impact and the depletion of conventional energy resources due to rapidly growing economic development, results rising energy consumption. Design/methodology/approach Generally, the network reconfiguration (NR) problem is designed for minimizing power loss. Particularly, it is devised for maximizing power loss reduction by simultaneous NR and distributed generation (DG) placement. A loss sensitivity factor procedure is incorporated in the problem formulation that has identified sensitivity nodes for DG optimally. An adaptive weighted improved discrete particle swarm optimization (AWIDPSO) is proposed for ascertaining a feasible solution. Findings In AWIDPSO, the adaptively varying inertia weight increases the possible solution in the global search space and it has obtained the optimum solution within lesser iteration. Moreover, it has provided a solution for integrating more amount of DG optimally in the existing distribution network (DN). Practical implications The AWIDPSO seems to be a promising optimization tool for optimal DG placement in the existing DN, DG placement after NR and simultaneous NR and DG sizing and placement. Thus, a strategic balance is derived among economic development, energy consumption, environmental impact and depletion of conventional energy resources. Originality/value In this study, a standard 33-bus distribution system has been analyzed for optimal NR in the presence of DG using the developed framework. The power loss in the DN has reduced considerably by indulging a new and innovative approaches and technologies.

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Optimal Placement and Sizing of Distributed Generation in Distribution System Using Modified Particle Swarm Optimization Algorithm

Handbook of Research on Emergent Applications of Optimization Algorithms - Advances in Business Information Systems and Analytics ◽

10.4018/978-1-5225-2990-3.ch021 ◽

2018 ◽

pp. 485-507 ◽

Cited By ~ 1

Author(s):

Mahesh Kumar ◽

Perumal Nallagownden ◽

Irraivan Elamvazuthi ◽

Pandian Vasant

Keyword(s):

Particle Swarm Optimization ◽

Distributed Generation ◽

Distribution System ◽

Reactive Power ◽

Particle Swarm ◽

Pso Algorithm ◽

Optimal Placement ◽

Voltage Profile ◽

Swarm Optimization ◽

Modified Particle Swarm Optimization

The electricity demand, fossil fuel depletion and environment issues increase the interest of power engineers to integrate small power generations i.e. called distributed generation (DGs) in the distribution system. The DG in distribution system has many positive effects such as it reduces the system power losses, improves the voltage profile and strengthen the voltage stability etc. The placement and sizing of DG play a major role in optimizing these parameters. Therefore, this chapter proposes a modified Particle Swarm Optimization (PSO) algorithm for finding the optimal placement and sizing of distributed generation in the radial distribution system. Two types of DGs such as an active power and reactive power DGs are tested on standard IEEE 33 radial bus system. Moreover, it can be realized that proposed method gives very effective results when both of active and reactive power DGs are integrated into the distribution system.

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