Analytical methods and rules of thumb for modeling DG-distribution interaction

Willis, H Lee

doi:10.1109/pess.2000.868774

Cited by 209 publications

(102 citation statements)

References 1 publication

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“…Optimal placement and sizing for DG using 2/3 analytical method has been proposed by [15]. According to this method, author drives mathematical expressions for size and location of DG.…”

Section: Methodsmentioning

confidence: 99%

Optimal Configuration of DG in Distribution System: An Overview

Kumar

Nallagownden

Elamvazuthi

2016

MATEC Web of Conferences

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Abstract. Distributed generation (DG) has increased ever attention in the distribution system from last few years. The main reason for DG in distribution system is increasing electric demand, deregulated power system and congested transmission network, which eventually declines the system performance. There is also increasing pressure of greenhouse gas emissions. For proper utilization of DG, the optimal placement and sizing is of main concern. Because improper DG location and size will increase the losses and decrease the system performance than existing. On the contrary, proper placement will maintain voltage profile, reduce power loss, and increase voltage stability in the distribution system. This paper presents overview of DG, the advances in DG technology and different optimization methods used for optimal placement and sizing problem. The key issues and challenges offered in the development of DG is also presented in this paper.

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“…Optimal placement and sizing for DG using 2/3 analytical method has been proposed by [15]. According to this method, author drives mathematical expressions for size and location of DG.…”

Section: Methodsmentioning

confidence: 99%

Optimal Configuration of DG in Distribution System: An Overview

Kumar

Nallagownden

Elamvazuthi

2016

MATEC Web of Conferences

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“…Different optimization strategies have been presented in recent literature with objective functions aiming to power loss minimization, cost reduction, profit maximization and environmental emission reduction. The optimization methods are classifies into analytical [3]- [8], numerical [9]- [16] and heuristic [17]- [26]. The analytical method known as the "2/3 rule" was proposed in [3] for optimal installation of a single DG, two analytical methods for optimal location of one DG in radial and meshed power systems were introduced in [4].…”

Section: Introductionmentioning

confidence: 99%

“…The optimization methods are classifies into analytical [3]- [8], numerical [9]- [16] and heuristic [17]- [26]. The analytical method known as the "2/3 rule" was proposed in [3] for optimal installation of a single DG, two analytical methods for optimal location of one DG in radial and meshed power systems were introduced in [4]. Reference [5] presented a non iterative analytical method to minimize power loss by the optimal placement of DG in radial and meshed systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement and Sizing of Distributed Generators in Balanced/Unbalanced Distribution Systems Using Backtracking Search Optimization (BSA)

Kiran¹,

Meena²

2017

Nctet-2k17

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“…With growing concerns among the environmental impacts majorly contributed by the centrally dispatched generations, renewable energy DG sources can provide most viable alternative to the utilities. A "2/3 rule" analytical method is suggested for the installation of DG by [8]. Satish Kumar Injeti et al suggested simulated annealing (SA) method [9] for the sizing of multiple DGs and their allocation is done by using loss sensitivity factors.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Optimal Placement of DGs and Fixed Capacitor Banks in Radial Distribution Systems using BSA Optimization

Syed¹,

Injeti²

2014

IJCA

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Nowadays the research on the integration of DG"s and Capacitor banks in radial distribution system is going on, to meet the increased electricity demand and to improve the technical aspects like power loss reduction, voltage profile improvement etc., where the major concerns are finding the optimal sizing of DG"s and Capacitor banks and their locations. This paper presents application of new optimization algorithm; Backtracking Search Algorithm (BSA) to solve the optimal placement of both DG and fixed capacitor banks in order to reduce the power loss and improve voltage profile of distribution system. A detailed performance analysis is carried out on 33-bus and 69-bus radial distribution system to demonstrate the effectiveness of the proposed algorithms and the results are compared with the GA/PSO, ICA/GA and Analytical approach which are available in the literature.

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Analytical methods and rules of thumb for modeling DG-distribution interaction

Cited by 209 publications

References 1 publication

Optimal Configuration of DG in Distribution System: An Overview

Optimal Configuration of DG in Distribution System: An Overview

Optimal Placement and Sizing of Distributed Generators in Balanced/Unbalanced Distribution Systems Using Backtracking Search Optimization (BSA)

Simultaneous Optimal Placement of DGs and Fixed Capacitor Banks in Radial Distribution Systems using BSA Optimization

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