Distributed Generation placement and sizing method to improve the voltage stability margin in a distribution system

Abri, Rashid Al; El-Saadany, Ehab F.; Atwa, Y.M.

doi:10.1109/epecs.2011.6126810

Cited by 26 publications

(26 citation statements)

References 18 publications

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“…to k max2 as defined by (17) [28,31,38,39] and the voltage stability margin subsequently improves from VSM 1 to VSM 2 .…”

Section: Vsm1mentioning

confidence: 99%

“…Moreover, in recent years, due to shar-ply increased loads and the demand for higher system security, DG allocation for voltage stability at the distribution system level has attracted the interest of some recent research efforts. For instance, DG units are located and sized using different methods: iterative techniques based on Continuous Power Flow (CPF) [8] and a hybrid of model analysis and CPF [28], power stability index-based method [29], numerical approach [30,31], simulated annealing algorithm [32] and PSO [33][34][35]. However, the cost-benefit analyses of DG planning have been ignored in the works presented above.…”

Section: Introductionmentioning

confidence: 99%

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An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

2014

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highlights DG allocation for minimizing energy loss and enhancing voltage stability. Expressions to find the optimal power factor of DG with commercial standard size. A methodology for DG planning to recover investment for DG owners.Impact of technical and environmental benefits on DG investment decisions. Benefit-cost analysis to specify the optimal location, size and number of DG units. Keywords:Distributed generation; Emission reduction; Loss reduction; Network upgrade deferral; Optimal power factor; Voltage stability abstract This paper presents new analytical expressions to efficiently capture the optimal power factor of each Distributed Generation (DG) unit for reducing energy losses and enhancing voltage stability over a given planning horizon. These expressions are based on the derivation of a multi-objective index (IMO), which is formulated as a combination of active and reactive power loss indices. The decision for the optimal location, size and number of DG units is then obtained through a benefit-cost analysis. Here, the total benefit includes energy sales and additional benefits, namely energy loss reduction, network upgrade deferral and emission reduction. The total cost is a sum of capital, operation and maintenance costs. The methodology was applied to a 69-bus industrial distribution system. The results showed that the additional benefits are imperative. Inclusion of these in the analysis would yield faster DG investment recovery.

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“…to k max2 as defined by (17) [28,31,38,39] and the voltage stability margin subsequently improves from VSM 1 to VSM 2 .…”

Section: Vsm1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

2014

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“…The author also compared the results with M.Etthadi's method and found improved results. Voltage profile and voltage stability margin (VSM) enhancement method in a distribution system with optimal DG placement and sizing have been presented by [21]. Author consider the load as IEEE RTS bus and DG (wind and solar) as variable PQ buses Furthermore, author used candidate bus by sensitivity analysis then with mixed integer nonlinear programming the voltage stability margin has been found.…”

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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“…642 location of distributed generators with objectives like minimum power loss [9], [10], minimum cost [11], maximum DG penetration [12], maximum reliability [13] and maximum voltage stability index [14]. A multi-objective performance index [15] for distribution networks with time varying distributed generation is proposed.…”

Section: Optimal Siting Of Dg In a Distribution Network Using Artificmentioning

confidence: 99%

Optimal Siting of Distributed Generators in a Distribution Network using Artificial Immune System

Meera¹,

Hemamalini²

2017

IJECE

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Distributed generation (DG) sources are being installed in distribution networks worldwide due to their numerous advantages over the conventional sources which include operational and economical benefits. Random placement of DG sources in a distribution network will result in adverse effects such as increased power loss, loss of voltage stability and reliability, increase in operational costs, power quality issues etc. This paper presents a methodology to obtain the optimal location for the placement of multiple DG sources in a distribution network from a technical perspective. Optimal location is obtained by evaluating a global multi-objective technical index (MOTI) using a weighted sum method. Clonal selection based artificial immune system (AIS) is used along with optimal power flow (OPF) technique to obtain the solution. The proposed method is executed on a standard IEEE-33 bus radial distribution system. The results justify the choice of AIS and the use of MOTI in optimal siting of DG sources which improves the distribution system efficiency to a great extent in terms of reduced real and reactive power losses, improved voltage profile and voltage stability. Solutions obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm optimization (PSO) solutions for the same objective function.

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Distributed Generation placement and sizing method to improve the voltage stability margin in a distribution system

Cited by 26 publications

References 18 publications

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

Optimal Configuration of DG in Distribution System: An Overview

Optimal Siting of Distributed Generators in a Distribution Network using Artificial Immune System

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