Optimal selection of conductors for distribution feeders

Mandal, Sourav; Pahwa, Anil

doi:10.1109/59.982213

Cited by 44 publications

(25 citation statements)

References 6 publications

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“…The peak demand is defined for the following six system elements: substation power transformer , main feeder , lateral three-phase line , lateral single-phase line , distribution transformer , and secondary line . The peak demand for each element is determined by (9) The application of distributed generation is accomplished by adjustment to typical consumer load characteristics and . The distribution element phase current is represented as a function of element load demand and element base line-toneutral voltage .…”

Section: Consumer Load Characteristicsmentioning

confidence: 99%

“…Prior research addressed short-range and expansion planning by partitioning the total planning problem into a set of sub-problems handled by available methods and techniques of total cost minimization and optimization [1]. Power distribution cost minimization research has included optimal substation and feeder expansion planning [2]- [5], location and size of substations and feeders [6], [7], secondary system design [8], selection of feeder conductors [9]- [12], feeder reconfiguration [13], substation and feeder reliability evaluation and design [14]- [16], and primary and secondary design [17].…”

Section: Introductionmentioning

confidence: 99%

“…Optimization methods used in short-range and long-range planning problems have included a variety of approaches ranging from single-period models [8], [9] to multi-period models [2], [3]. The single-period models solve for system parameters for a specific point in time.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Distribution System Horizon Planning–Part I: Formulation

Fletcher

Strunz

2007

IEEE Trans. Power Syst.

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This paper is the first of a two-part paper on optimal distribution system planning. The horizon distribution planning problem and optimal distribution system model formulation are described. The horizon planning mission is to minimize future costs by determining optimal design parameters given assumptions about the future. Prior work addressed short-range and expansion planning of subsets or combinations of design parameters. The many distribution requirements and associated constraints inhibited an all-inclusive evaluation of total horizon design requirements for the 20+ year period. The proposed model and optimization formulation provides a generalized horizon planning approach and introduce a fully functioning comprehensive horizon planning model using a perspective that encompasses all necessary parameters and constraints. Parameters include: substation and distribution transformer capacities; number, size, and lengths of distribution feeders and secondary conductors; and primary voltage class. Optimal design voltage drops and reliability indices are determined. The horizon planning optimization application is described and solved in the second companion paper using continuous constrained nonlinear programming methods. The application is demonstrated with Snohomish PUD case studies.

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Section: Consumer Load Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Distribution System Horizon Planning–Part I: Formulation

Fletcher

Strunz

2007

IEEE Trans. Power Syst.

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“…Mandal and Pahwa [1], presented a method for selection of optimal set of conductors. Several financial and engineering factors are considered to arrive at a solution, which will be the most economical when both capital and operating costs are considered.…”

Section: Introductionmentioning

confidence: 99%

Multi-conductor feeder design for radial distribution networks

Abul’Wafa

2016

Electric Power Systems Research

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“…A fairly large body of literature has been devoted to reduce loss in distribution systems. These methods can be generally categorised into four main classes: optimal conductor selection and/or replacement [3, 4], capacitor placement [5–7], distributed generation placement [8, 9] and reconfiguration [10, 11]. In [12, 13], a combination of the aforementioned methods are developed for the purpose of minimising energy loss in a real distribution network.…”

Section: Introductionmentioning

confidence: 99%