TY - JOUR
T1 - Distribution System Planning Evaluation Method Using Voronoi Diagram and Tabu Search
AU - Hayashi, Yasuhiro
AU - Matsuki, Junya
AU - Nose, Masaki
AU - Inui, Masatomo
N1 - Funding Information:
We are grateful to Basil Bernstein for his support of this research projet. c Funding for the study was providd by ethe Australian Research Council, 1996±1998: Fle Niumber A7960165. W4ewuld oalso like to thank three anonymous referees for their comments.
PY - 2003
Y1 - 2003
N2 - Distribution planning must be carried out by considering (1) geographic information such as allocation of loads and feeders, (2) operational conditions such as line current capacity, voltage drop limit and distribution loss, and (3) facility cost and so on. In order to systematically support the above work by computational approach, optimization techniques are available. In this paper, a computational method to support distributional planning systematically is proposed by introducing (1) geographical optimization technique and (2) configuration optimization technique. The geographical optimization is to determine which of sectionalized lines should supply power to future appeared loads so as to maximize availability ratio of feeders. The configuration optimization is to determine states of sectionalizing switches (opened or closed) so as to minimize distribution loss under the constraints such as the line current capacity, voltage drop limit and radial structure. In the proposed method, after the geographical optimization is carried out to determine future section loads, operational conditions are evaluated by the configuration optimization. If the operational constraints are not satisfied, previously prepared expansion plan candidates are evaluated quantitatively, and then the best candidate is decided. Voronoi diagram is applied to realize the geographical optimization, and tabu search is used to accomplish the configuration optimization. In order to check the validity of the proposed method, numerical results are shown for a distribution system model.
AB - Distribution planning must be carried out by considering (1) geographic information such as allocation of loads and feeders, (2) operational conditions such as line current capacity, voltage drop limit and distribution loss, and (3) facility cost and so on. In order to systematically support the above work by computational approach, optimization techniques are available. In this paper, a computational method to support distributional planning systematically is proposed by introducing (1) geographical optimization technique and (2) configuration optimization technique. The geographical optimization is to determine which of sectionalized lines should supply power to future appeared loads so as to maximize availability ratio of feeders. The configuration optimization is to determine states of sectionalizing switches (opened or closed) so as to minimize distribution loss under the constraints such as the line current capacity, voltage drop limit and radial structure. In the proposed method, after the geographical optimization is carried out to determine future section loads, operational conditions are evaluated by the configuration optimization. If the operational constraints are not satisfied, previously prepared expansion plan candidates are evaluated quantitatively, and then the best candidate is decided. Voronoi diagram is applied to realize the geographical optimization, and tabu search is used to accomplish the configuration optimization. In order to check the validity of the proposed method, numerical results are shown for a distribution system model.
KW - distribution area
KW - distribution system planning
KW - geographical optimization
KW - loss minimum configuration
KW - tabu search
KW - voronoi diagrams
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U2 - 10.1541/ieejpes.123.1124
DO - 10.1541/ieejpes.123.1124
M3 - Article
AN - SCOPUS:85010234229
SN - 0385-4213
VL - 123
SP - 1124
EP - 1132
JO - IEEJ Transactions on Power and Energy
JF - IEEJ Transactions on Power and Energy
IS - 10
ER -