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A Multiobjective Particle Swarm Optimization for Sizing and Placement of DGs from DG Owner's and Distribution Company's Viewpoints

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TLDR
In this article, a multi-objective particle swarm optimization approach was proposed to determine the optimal DGs places, sizes, and their generated power contract price in the IEEE 33-bus distribution test system.
Abstract
Distributed generations (DGs) have significant benefits in the electric power industry, such as a reduction in CO2 and NOX emissions in electricity generation, improvement of voltage profile in distribution feeders, amending voltage stability in heavy load levels, enhancement of reliability and power quality, as well as securing the power market. Despite the numerous advantages of DG technologies, weak capability in dispatching and management of DGs is a major challenge for distribution system operators. Hence, during recent years, several studies about various aspects of control, operation, placement, and sizing of DGs have been conducted. This paper presents a novel application of multiobjective particle swarm optimization with the aim of determining the optimal DGs places, sizes, and their generated power contract price. In the proposed multiobjective optimization, not only are the operational aspects, such as improving voltage profile and stability, power-loss reduction, and reliability enhancement taken into account, but also an economic analysis is performed based on the distribution company's and DG owner's viewpoints. The simulation study is performed on the IEEE 33-bus distribution test system and the consequent discussions prove the effectiveness of the proposed approach.

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Citations
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Journal ArticleDOI

Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation

TL;DR: In this article, the optimal planning of batteries in the distribution grid is presented, which determines the location, capacity and power rating of batteries while minimizing the cost objective function subject to technical constraints.
Journal ArticleDOI

Optimal sizing and siting techniques for distributed generation in distribution systems: A review

TL;DR: In this paper, a review of the classical and heuristic approaches for optimal sizing and placement of DG units in distribution networks and study their impacts on utilities and customers is presented, and an attempt has also been made to compare the analytical (classical) and meta-heuristic techniques for optimal size and siting of DG in distribution network.
Journal ArticleDOI

A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms

TL;DR: In this paper, a comprehensive review on the optimal allocation of distributed generators was carried out for different objectives, constraints, and algorithms, highlighting how the methods and algorithms for optimal distributed generation allocation play an important role in improving the accuracy and efficiency of the results.
Journal ArticleDOI

A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network

TL;DR: In this article, a meta-heuristic cuckoo search algorithm (CSA) inspired from the obligate brood parasitism of some Cuckoo species which lay their eggs in the nests of other birds of other species for solving optimization problems is adapted to simultaneously reconfigure and identify the optimal location and size of DG units in a distribution network.
Journal ArticleDOI

A comprehensive review of the voltage stability indices

TL;DR: In this article, the authors reviewed the voltage stability indices (VSIs) from different aspects such as concepts, assumptions, critical values and equations and provided a comprehensive background to find out the future works in this field and select the best VSI for different applications like DG placement and sizing and voltage stability assessment.
References
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Book

Reliability Evaluation of Power Systems

TL;DR: In this paper, the authors present an analysis of the IEEE Reliability Test System (IRTS) and evaluate the reliability worth of the test system with Monte Carlo simulation and three-order equations for overlapping events.
Journal ArticleDOI

Handling multiple objectives with particle swarm optimization

TL;DR: An approach in which Pareto dominance is incorporated into particle swarm optimization (PSO) in order to allow this heuristic to handle problems with several objective functions and indicates that the approach is highly competitive and that can be considered a viable alternative to solve multiobjective optimization problems.
Journal ArticleDOI

Distributed generation : a definition

TL;DR: In this article, the relevant issues and aims at providing a general definition for distributed power generation in competitive electricity markets are discussed, which can be defined as electric power generation within distribution networks or on the customer side of the network.
Journal ArticleDOI

An analytical approach for dg allocation in primary distribution network

TL;DR: In this article, an analytical expression to calculate the optimal size and an effective methodology to identify the corresponding optimum location for DG placement for minimizing the total power losses in primary distribution systems is proposed.
Journal ArticleDOI

Analytical approaches for optimal placement of distributed generation sources in power systems

TL;DR: In this article, the optimal location to place a DG in radial as well as networked systems to minimize the power loss of the system has been investigated to obtain the maximum potential benefits.
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