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Journal ArticleDOI

Distributed Generation Planning: A New Approach Based on Goal Programming

TLDR
A novel methodology that employs a goal programming technique and genetic algorithm for formulation and evaluation of a multi-objective function, respectively, for optimal planning of distributed generator units in the distribution system is proposed.
Abstract
This article proposes a novel methodology that employs a goal programming technique and genetic algorithm for formulation and evaluation of a multi-objective function, respectively, for optimal planning of distributed generator units in the distribution system. The multi-objective function consists of various performance indices that govern the optimal operation of a distribution system with distributed generator units. The proposed method aims to greatly diminish the dependence in existing methods on the global preference information of the distribution system planner by means of simplicity in problem formulation utilizing a goal programming technique. The capacity of the distribution system to accept distributed generator integration is evaluated such that with the placement of every additional distributed generator unit, the value of multi-objective function reduces without any violation in the system operating constraints. The effectiveness of the proposed method is tested using various distr...

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Citations
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Journal ArticleDOI

Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Research

TL;DR: An overview of the state-of-the-art models and methods applied to the optimal DG placement problem can be found in this article, where the authors analyze and classify current and future research trends in this field.
Journal ArticleDOI

Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm

TL;DR: In this paper, a backtracking search optimization algorithm (BSOA) is addressed to assign the distributed generators (DGs) along radial distribution networks, which is adapted with weighting factor to reduce the network real loss and enhance the voltage profile with the purpose of improving the operating performance.
Journal ArticleDOI

Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems

TL;DR: A novel quasi-oppositional teaching learning based optimization (QOTLBO) methodology in order to find the optimal location of distributed generator to simultaneously optimize power loss, voltage stability index and voltage deviation of radial distribution network is presented.
Journal ArticleDOI

A review on distributed generation planning

TL;DR: In this paper, the authors present a review on distributed generation planning in the distribution power system networks from different power system performances such as minimization of real and reactive power loss of the system, enhance power system loadability and reliability.
References
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Journal ArticleDOI

Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey

TL;DR: New trends in power electronics for the integration of wind and photovoltaic (PV) power generators are presented and a review of the appropriate storage-system technology used for the Integration of intermittent renewable energy sources is introduced.
Book

Engineering Optimization: Methods and Applications

TL;DR: This book discusses the application of Optimization in Engineering and its applications in Linear Programming, as well as some of the techniques used to design and implement these programs.
Journal ArticleDOI

A multiobjective evolutionary algorithm for the sizing and siting of distributed generation

TL;DR: In this article, a multiobjective formulation for the siting and sizing of DG resources into existing distribution networks is proposed, which permits the planner to decide the best compromise between cost of network upgrading, cost of power losses, and cost of energy not supplied.
Journal ArticleDOI

An approach to quantify the technical benefits of distributed generation

TL;DR: In this paper, the authors proposed a general approach and a set of indices to assess some of the technical benefits in a quantitative manner, including voltage profile improvement, line loss reduction, environmental impact reduction, and DG benefit index.
Journal ArticleDOI

Multiobjective Optimization for DG Planning With Load Models

TL;DR: A multiobjective performance index-based size and location determination of distributed generation in distribution systems with different load models based on genetic algorithms is presented.
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