Optimal placement of distributed generations considering voltage stability and power losses with observing voltage-related constraints

Esmaili, Masoud; Firozjaee, Esmail Chaktan; Shayanfar, Heidar Ali

doi:10.1016/j.apenergy.2013.09.004

Cited by 132 publications

(57 citation statements)

References 27 publications

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“…Also, recent changes in the operation of distribution networks that enable active networks by installing DGs can lead to an increased short-circuit currents in the network apparatuses such as switchgears with lower short-circuit current levels [3]. It is evident that the placement and sizing of DGs play a significant role in the operation as well as power quality and reliability of distribution systems.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, installing DGs can boost or decline the voltage quality based on the power factor situation (lead, lag, or unity) [3]. Also, recent changes in the operation of distribution networks that enable active networks by installing DGs can lead to an increased short-circuit currents in the network apparatuses such as switchgears with lower short-circuit current levels [3].…”

Section: Introductionmentioning

confidence: 99%

“…A number of alternative DG technologies, such as fuel cells, storage devices, photovoltaic, and wind turbine are now approaching commercial economic viability. Moreover, conventional small generation technologies such as diesel generator and gas turbine can offer improved performance and flexibility for the distribution systems [3].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing distributed generation parameters through economic feasibility assessment

Muttaqi

Aghaei

et al. 2016

Applied Energy

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To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method. Abstract -To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.2

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing distributed generation parameters through economic feasibility assessment

Muttaqi

Aghaei

et al. 2016

Applied Energy

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“…In the optimum value approach, the most appropriate sizing and/or siting is determined according to the criteria considered in the study. The most important optimization studies can be given as grouped according to their objectives on which they are based; minimization of power losses [20,[23][24][25][26], minimization of energy losses [27], increasing system reliability based on various reliability indices [28,29] and minimization of costs [29,30]. There are also approaches to define the maximum permissible capacity value based on a single system criterion other than the hosting capacity and optimum values approaches [31][32][33][34][35][36][37].…”

Section: Motivation and Backgroundmentioning

confidence: 99%

Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads

et al. 2018

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Abstract:Increasing demand for electricity, as well as rising environmental and economic concerns have resulted in renewable energy sources being a center of attraction. Integration of these renewable energy resources into power systems is usually achieved through distributed generation (DG) techniques, and the number of such applications increases daily. As conventional power systems do not have an infrastructure that is compatible with these energy sources and generation systems, such integration applications may cause various problems in power systems. Therefore, planning is an essential part of DG integration, especially for power systems with intermittent renewable energy sources with the objective of minimizing problems and maximizing benefits. In this study, a mathematical model is proposed to calculate the maximum permissible DG integration capacity without causing overvoltage problems in the power systems. In the proposed mathematical model, both the minimum loading condition and maximum generation condition are taken into consideration. In order to prove the effectiveness and the consistency of the proposed mathematical model, it is applied to a test system with different case studies, and the results are compared with the results obtained from other models in the literature.

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“…These aspects are as follows: active loss reduction [1], reducing the cost of curtailed energy [2], voltage profile improvement [3], enhancing the voltage stability [4], reducing the construction period [5] and reducing the cost of energy purchased from power market [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective short-term scheduling of active distribution networks for benefit maximization of DisCos and DG owners considering demand response programs and energy storage system

Abapour

Nojavan

Abapour

2017

J. Mod. Power Syst. Clean Energy

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This paper proposes a multi-objective benefit function for operation of active distribution systems considering demand response program (DRP) and energy storage system (ESS). In the active distribution system, active network management (ANM) is applied so that the distribution system equipment is controlled in real-time status based on the real-time measurements of system parameters (voltages and currents). The multi-objective optimization problem is solved using e-constraint method, and a fuzzy satisfying approach has been employed to select the best compromise solution. Two different objective functions are considered as follows: benefit maximization of distribution company (DisCo); benefit maximization of distributed generation owner (DGO). To increase the benefits and efficient implementation of distributed generation (DG), DGO has installed battery as energy storage system (ESS) in parallel with DG unit. Consequently, DGO decides for the battery charging/discharging. DisCo has the ability to exchange energy with the upstream network and DGO. Also, DisCo focuses to study the effect of demand response program (DRP) on total benefit function and consequently its influence on the load profile has been discussed. This model is successfully applied to a 33-bus radial distribution network.

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Optimal placement of distributed generations considering voltage stability and power losses with observing voltage-related constraints

Cited by 132 publications

References 27 publications

Optimizing distributed generation parameters through economic feasibility assessment

Optimizing distributed generation parameters through economic feasibility assessment

Maximum Permissible Integration Capacity of Renewable DG Units Based on System Loads

Multi-objective short-term scheduling of active distribution networks for benefit maximization of DisCos and DG owners considering demand response programs and energy storage system

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