A Review of Strategies for Optimal Placement of Distributed Generation in Power Distribution Systems

Akorede, Mudathir Funsho; Hizam, Hashim; Aris, Ishak; Kadir, Mohd Zainal Abidin Ab

doi:10.3923/rjasci.2010.137.145

Cited by 66 publications

(29 citation statements)

References 30 publications

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“…The main intention of this paper was to minimize the power loss and solve an actual reactive optimization problem in power distribution systems. Akorede et al [16] presented a review of various methodologies for optimal placement of distributed generation (DG) in power distribution systems. In this analysis, the ACO algorithm was used to solve the optimization problem under consideration.…”

Section: Related Workmentioning

confidence: 99%

A hybrid MACO and BFOA algorithm for power loss minimization and total cost reduction in distribution systems

Sankaramoorthy¹,

Veeraraghavan²

2017

Turk J Elec Eng & Comp Sci

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This paper presents a multiobjective optimization methodology to optimally place a STATCOM in electric power distribution networks. The combination of multiobjective ant colony optimization (MACO) and the bacterial foraging optimization algorithm (BFOA) is proposed to minimize the power loss and total cost. The main intention of this analysis is to optimally place the STATCOM at multiple locations such as the transmission side, middle, and load side. Identifying the type and location of the STATCOM is a combinatorial optimization problem in power systems.In order to overcome this problem, the combination of hybrid MACO and BFOA algorithms is applied in this analysis to minimize the total cost and power loss. The total cost of the overall network is calculated by using system average interruption duration index and[ system average interruption frequency index metrics. Moreover, the BFOA is used in this paper to minimize the power loss during distribution, which is adequate in searching for the optimal solution.The problem of reducing power losses in distribution systems through the BFOA approach is described here for a 5-bus system. Test results of a 5-bus network show that the proposed MACO with BFOA method can efficiently ensure the power loss and total cost minimization.

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Section: Related Workmentioning

confidence: 99%

A hybrid MACO and BFOA algorithm for power loss minimization and total cost reduction in distribution systems

Sankaramoorthy¹,

Veeraraghavan²

2017

Turk J Elec Eng & Comp Sci

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“…In a highly congested area the benefit of DG is more predominant [2]. The location of DG should be carried out considering its size and location.…”

Section: Introductionmentioning

confidence: 99%

“…The DG introductions have technical merits in fuel cells, photovoltaic, biomass, wind, geothermal and gas turbine. It includes voltage profile improvement, loss reduction and improves system reliability.In a highly congested area the benefit of DG is more predominant [2]. The location of DG should be carried out considering its size and location.…”

mentioning

confidence: 99%

Hybrid optimization implemented for distributed generation parameters in a power system network

Nayanatara¹,

Baskaran²,

Kothari³

2016

International Journal of Electrical Power & Energy Systems

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“…To reap the benefits of the DER the system planner has to optimize the size and site of the distributed generation before integrating to the distribution system. The various solution techniques proposed [44,45] to arrive at a optimal size and site of DG can be grouped into following six categories. i) Analytical methods ii) Classical optimization iii) Artificial intelligence methods iv) Meta-heuristics methods v) Hybrid methods vi) Other methods.…”

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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A Review of Strategies for Optimal Placement of Distributed Generation in Power Distribution Systems

Cited by 66 publications

References 30 publications

A hybrid MACO and BFOA algorithm for power loss minimization and total cost reduction in distribution systems

A hybrid MACO and BFOA algorithm for power loss minimization and total cost reduction in distribution systems

Hybrid optimization implemented for distributed generation parameters in a power system network

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

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