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Journal ArticleDOI

DG allocation for benefit maximization in distribution networks

TLDR
In this article, the authors proposed a method to evaluate the worth of installing renewable distributed generation (DG) in distribution networks, and the work optimally allocates these DG units in the distribution network to maximize the value of the connection to the local distribution company (LDC), as well as the customers connected to the system.
Abstract
This paper proposes a method to evaluate the worth of installing renewable distributed generation (DG) in distribution networks. Moreover, the work optimally allocates these DG units in the distribution network to maximize the worth of the connection to the local distribution company (LDC), as well as the customers connected to the system. The proposed methodology helps the LDC to better assess the benefits of the renewable DG units' proposed connections and to identify the optimal buses on which to connect these DG units. The benefits considered in this paper are deferral of upgrade investments, reduction of the cost of energy losses, and reliability improvement, which is represented by the interruption cost reduction. The proposed methodology takes into consideration the uncertainty and variability associated with the output power of renewable DG as well as the load variability. The planning problem of determining the optimal location and sizes of DG units is defined as multi-objective mixed integer programming.

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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

Review of optimization techniques applied for the integration of distributed generation from renewable energy sources

TL;DR: In this article, the authors present a review of recent optimization methods applied to solve the problem of placement and sizing of distributed generation units from renewable energy sources based on a classification of the most recent and highly cited papers.
Journal ArticleDOI

Robust Optimization Based Optimal DG Placement in Microgrids

TL;DR: Compared with conventional MG planning approaches, the proposed model is more practical in that it fully considers the system uncertainties and only requires a deterministic uncertainty set, rather than a probability distribution of uncertain data which is difficult to obtain.
Journal ArticleDOI

Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization

TL;DR: In this article, an efficient analytical (EA) method is proposed for optimally installing multiple distributed generation (DG) technologies to minimize power loss in distribution systems, and their power factors are optimally calculated.
Journal ArticleDOI

Integrated Planning for Transition to Low-Carbon Distribution System With Renewable Energy Generation and Demand Response

TL;DR: In this paper, an integrated methodology that considers renewable distributed generation (RDG) and demand responses (DR) as options for planning distribution systems in a transition towards low-carbon sustainability is presented.
References
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Journal ArticleDOI

The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee

TL;DR: In this article, an enhanced test system (RTS-96) is described for use in bulk power system reliability evaluation studies, which will permit comparative and benchmark studies to be performed on new and existing reliability evaluation techniques.
Book

Reliability Assessment of Electric Power Systems Using Monte Carlo Methods

Roy Billinton, +1 more
TL;DR: The basic concepts of Power System Reliability Evaluation and Elements of Monte Carlo Methods and Reliability Cost/Worth Assessment are explained.
Journal ArticleDOI

Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization

TL;DR: In this article, a methodology has been proposed for optimally allocating different types of renewable distributed generation (DG) units in the distribution system so as to minimize annual energy loss.
Journal ArticleDOI

A genetic algorithm solution to the unit commitment problem

TL;DR: This paper presents a genetic algorithm (GA) solution to the unit commitment problem using the varying quality function technique and adding problem specific operators, satisfactory solutions to theunit commitment problem were obtained.
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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