Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning

Barin, Alexandre; Pozzatti, Luis Felipe; Canha, Luciane Neves; Machado, Ricardo Q.; Abaide, Alzenira da Rosa; Arend, G.

doi:10.1016/j.ijepes.2010.06.015

Cited by 48 publications

(15 citation statements)

References 6 publications

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“…Besides, there are several works discussing the optimal sizing and placement of DG in the network [7]- [9]. However, most of them have focused their research considering only the peak hours, whether to improve voltage levels and reliability or to improve the capacity of the network.…”

Section: B Distributed Generationmentioning

confidence: 99%

Smart grid and the prospects of electricity demand forecast in Brazilian distribution system

Neto

Figueiro

Abaide

et al. 2014

2014 49th International Universities Power Engineering Conference (UPEC)

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The power system is changing. Classic methodologies applied for planning the distribution system should be adapted in an environment of Smart Grids. In this sense, an accurate forecast of energy demand will be essential to the utilities in this new grid model, being prepared for insertion of electric vehicles (EV), distributed generation (DG) and strategies on the demand side management (DSM). Therefore, this paper aims to evaluate and discuss the main challenges that energy companies in the Brazilian electric sector will face in the coming years. The impact of new variables in load forecast are presented as well as forecasting methodologies that have been studied and applied, aiming to identify establish guidelines to the utilities in their future studies of load forecast and system planning.

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Section: B Distributed Generationmentioning

confidence: 99%

Smart grid and the prospects of electricity demand forecast in Brazilian distribution system

Neto

Figueiro

Abaide

et al. 2014

2014 49th International Universities Power Engineering Conference (UPEC)

View full text Add to dashboard Cite

show abstract

“…The power system restructuring forces a change in duties and objectives of traditional planning and it compels to consider several objectives that are in mutual conflict. The proposed planning model minimizes different cost functions related to the cost of investment and operation s 1 (x), cost of energy losses s 2 (x) and cost of power congestion s 3 (x) in the form of multi-objective optimization (1).…”

Section: Multi-objective Planning Modelmentioning

confidence: 99%

“…Conventional single optimization objective approach such as the minimization of the investment cost is no longer suitable for the new market operation environment. The multi-objective planning approach has become necessary in order to take into account new problems caused by the competitive power market environment [1,2]. Over the past decade, a large amount of researches and literatures have been accomplished in multi-objective distribution network expansion planning approach.…”

Section: Introductionmentioning

confidence: 99%

Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

Zhang¹,

Ding²,

Wu³

et al. 2013

EPE

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This paper presents a novel approach for electrical distribution network expansion planning using multi-objective particle swarm optimization (PSO). The optimization objectives are: investment and operation cost, energy losses cost, and power congestion cost. A two-phase multi-objective PSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity of Pareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved multi-objective PSO have been verified by the 18-node typical system.

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“…vi) Optimal planning of multiple DG sources [28,29,[37][38][39]. vii) Optimal planning of multiple DG sources with non unity power factor [40] When the DG is introduced with optimized planning as discussed above in the existing distribution system it leads to [17] improvement of voltage profile, reduction in total losses, improvement of reliability and power quality [41][42][43] III. SOLUTION TECHNIQUES FOR OPTIMAL SIZING AND SITING OF DG UNITS The DG units if placed without proper calculation results into deterioration of system performance.…”

Section: Introductionmentioning

confidence: 99%

A review on optimal sizing and siting of distributed generation system: Integrating distributed generation into the grid

Gupta

Pandit²,

Kothari³

2014

2014 6th IEEE Power India International Conference (PIICON)

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The non-conventional resources like sun and wind are never-ending, reliable and pollution less sources of power. When such limited size renewable sources situated close to load centers are used for generating power, they are termed as distributed energy resources (DER) or Distributed Generation (DG). After the Kyoto protocol on climate change there is thrust to preserve depleting reserves of conventional fuels i.e. coal and petroleum. One of the ways to achieve the same is through integrating these DER into the present electric supply system. The DER can be used in isolation or in integration with the existing system. Integration of DER with the grid supply helps to provide continuous supply of electricity with overall improvement in the system performance. The capacity sizing and siting ( also called location allocation) of the DG is an important consideration for economic operation with lowest investment. It is a large scale non linear multi-objective constrained optimization problem with high dimension and practical constraints. A review on optimal sizing and siting of DG system has been attempted in this paper. The various solution techniques and objective functions along with various constraints applicable for the solution of optimal sizing and siting problem of DG are discussed and compared in this paper.

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Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning

Cited by 48 publications

References 6 publications

Smart grid and the prospects of electricity demand forecast in Brazilian distribution system

Smart grid and the prospects of electricity demand forecast in Brazilian distribution system

Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

A review on optimal sizing and siting of distributed generation system: Integrating distributed generation into the grid

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