Distribution systems expansion planning by multi-stage branch exchange

Nara, Koichi; Satoh, T.; Kuwabara, H.; Aoki, Kenichi; Kitagawa, Minoru; Ishihara, Takumi

doi:10.1109/59.141705

Cited by 69 publications

(37 citation statements)

References 6 publications

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“…Most of them have formulated the problem as a combinatorial optimisation problem, since its realistic size and complexity is such that the application of heuristic techniques has proved to be convenient [1][2][3][4]. In [2] and [4], the authors deal with long-term planning problems in electrical distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Search Algorithm for Optimal Strategical Planning of Electrical Distribution Systems Expansion

et al. 2005

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Strategical planning is one of many research fields in the design of electrical distribution systems. The problem of strategical planning is a multiobjective combinatorial problem and the search space may often be quite large concerning to the options. The aim is to identify a strategy of expansion of a given distribution system in a given timeframe. For this problem, the search space is created beforehand by running a multiobjective optimisation algorithm for the optimal design of distribution networks for different load levels related to different years. The sets of Pareto-optimal solutions obtained for each load level at each year are equivalent in terms of the considered objectives, these being minimum losses, installation costs, and minimum unavailability. The problem of the identification of the optimal expansion strategy through these chronologically intermediate solutions leading to the final target configuration at the last year has been solved herein using an ACS (Ant Colony Search) algorithm. In order to verify the efficiency of the ACS algorithm, a small size application has been carried out and results have been compared to those obtained with enumeration. Then, a Simulated Annealing (SA) approach was used for a larger size test problem and results were compared to those obtained using the ACS. For this problem, the ACS demonstrated to be more robust than SA with higher quality results.

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Section: Introductionmentioning

confidence: 99%

Ant Colony Search Algorithm for Optimal Strategical Planning of Electrical Distribution Systems Expansion

et al. 2005

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“…The planning problem of primary distribution networks has been basically stated as a classical mixed integer linear programming problem, where an objective function that includes both the investment and the operation cost of the network, is minimized subject to technical constraints related with the characteristics of the electric service [17]. This formulation includes binary variables linked to the fixed costs associated to some of the decision variables as well as linear approximations to represent the variable costs.…”

Section: Introductionmentioning

confidence: 99%

“…Stated as such the classical branch and bound techniques [17] have a natural application. Although the continuous research and improvement of these techniques keeps them as an alternative always to be considered, the linear approximations as well as the combinatorial complexity of the problem question their application to electric systems of real dimensions due to the requirements of excessive computing resources.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Approach to Distribution Planning in an Unstructured Environment

Chakravorty¹,

Ghosh²

2009

IJCEE

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Abstract-Conductor layout plays a vital role in distribution planning. The factors such as cost associated with conductor layout, the capacity of substations and the distance of the load point from the substation is to be considered while determining the optimal conductor layout. Here in this paper a novel approach of distribution planning is proposed. In this paper a proposal for a method for locating an optimum site for a substation which has the minimum distance from the various load points is given further the conductor layout to connect the various load points using the AHP technique is suggested in this paper. By combining the GA and the AHP technique it is possible to optimize the locations of substation and the conductor layout. The results of the discussed techniques will lead to a configuration of substation that will minimize substation construction cost. It will further lower long range distribution expenses as it will lead to optimum feeder path. The application of the proposed methodology to a case study is presented. Index Terms-Power distribution planning, AHP technique, optimization methods.I.

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“…This methodology tries to solve together the analysis of location of substations, dimensioning of substations and feeders and finally distribution networks routing [Aoki et al 1990, Blanchard et al 1996, Boardman, Meckiff 1985, Brauner, Zobel 1994, El-Kadi 1984, Fawzi et al 1983, Gönen, Foote 1981, Gönen, Foote 1982, Gönen 1986, Hindi, Brameller 1977, Hsu, Chen 1990, Lin et al 1998, Miranda et al 1994, Nara et al 1991, Nara et al 1992, Ponnavaikko, Prakasa 1981, Quintana et al 1993, Ramírez-Rosado, BernalAgustin 1998, Ramírez-Rosado et al 1999, Ramírez-Rosado., Gönen 1991, Sun et al 1982, Tang 1996, Thompson, Wall 1981.…”

Section: Handling Of the Distribution Systemmentioning

confidence: 99%

Models and Procedures for Electric Energy Distribution Planning. A Review

Sempertegui¹,

Bautista²,

Cubero³

et al. 2002

IFAC Proceedings Volumes

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Distribution system planning is a key component to accomplish the service in a fast growing demand market, both from a technical point of view and from the economic costs management. In the near future, electric companies will need faster and cheaper planning tools to evaluate different scenarios and their consequences for the rest of the system and provide their clients whit safe reliable and economic energy. The objective of this paper is to review different articles about this subject trying to continue the previous work from Gonen and Ramírez-Rosado in 1986 (Gönen,1986).

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Distribution systems expansion planning by multi-stage branch exchange

Cited by 69 publications

References 6 publications

Ant Colony Search Algorithm for Optimal Strategical Planning of Electrical Distribution Systems Expansion

Ant Colony Search Algorithm for Optimal Strategical Planning of Electrical Distribution Systems Expansion

A Novel Approach to Distribution Planning in an Unstructured Environment

Models and Procedures for Electric Energy Distribution Planning. A Review

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