Optimal placement and sizing of a DG based on a new power stability index and line losses

Aman, M.M.; Jasmon, Ghauth Bin; Mokhlis, Hazlie; Bakar, Ab Halim Abu

doi:10.1016/j.ijepes.2012.05.053

Cited by 273 publications

(151 citation statements)

References 21 publications

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“…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%

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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Section: Introductionmentioning

confidence: 99%

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

2014

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“…The validation of proposed VSI-LMC based approach is carried out by comparing the achieved results with other VSI and sensitivity based approaches, as shown in Table 3, i.e., RDN based VSI in [32], power stability index (PSI) [29] and novel power loss sensitivity (NPLS) [23] based methods. The compared methods were initially proposed for RDNs and have compared with LDN from the perspective of voltage stability, LM, DG penetration, DG quantity and respective savings; give a broad insight of the analysis, respectively.…”

Section: Comparison Of the Results With The Existing Research Workmentioning

confidence: 99%

DG Placement in Loop Distribution Network with New Voltage Stability Index and Loss Minimization Condition Based Planning Approach under Load Growth

Kazmi

Shin

2017

Energies

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This paper presents a new planning approach based on voltage stability index (VSI) together with improved loss minimization (LM) formulations. The method has employed for application of distributed generation (DG) unit placement (location and size) in a loop (configured) test distribution network (LDN). Initially, VSI relationship for equivalent loop model has employed to find out potential locations for DG placement in LDN. Later, loss minimization formulations and loss minimization conditions (LMC) have been derived on the basis of an equivalent electrical model of LDN, for single and two DGs operating at various power factors, respectively. The proposed approach is comprised of two variants and has demonstrated on the 69-bus test distribution network. The first planning variant as a single case has applied for DG allocation (location, size, number) in LDN under normal load. Similarly, the second planning variant has demonstrated with three cases (six scenarios per case), evaluated under normal load and impact of load growth (across five years), respectively. The proposed approach has analyzed in terms of various performance indicators and results obtained have compared and found in close agreement with existed works in literature. Simulation results verify the validity of the proposed planning approach and establish that LDN performs better than radial distribution network from the perspective of load growth.

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“…The author's man objective was to minimize the system real power loss. Author [13] Proposed a novel Power stability index (PSI) for DG placement and sizing. The objective functions was to minimize the active and reactive power losses of radial distribution system.…”

Section: Methodsmentioning

confidence: 99%

“…Today, number of power companies are investing in small scale distributed generation such as in wind turbines, solar photo voltaic cells, micro turbines, small scale hydro and/ or CHP. Distributed generation was observed in England and Wales are 1.2 GW during 1993-1994, according to [13] it reaches to 12GW recently. DG in Fenosa distribution system Spain has 2203MW connected which represents 120% of area's total peak demand.…”

Section: Distributed Generation (Dg)mentioning

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 of a DG based on a new power stability index and line losses

Cited by 273 publications

References 21 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

DG Placement in Loop Distribution Network with New Voltage Stability Index and Loss Minimization Condition Based Planning Approach under Load Growth

Optimal Configuration of DG in Distribution System: An Overview

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