Planning of Distribution Systems Using Mixed-Integer Linear Programming Models Considering Network Reliability

被引：13

作者：

de Souza J. ^{[1
]}

Rider M.J. ^{[2
]}

Mantovani J.R.S. ^{[2
]}

机构：

[1] Departamento de Matemática da Universidade Federal do Mato Grosso, Cuiabá, MT

[2] Departamento de Engenharia Elétrica da Faculdade de Engenharia de Ilha Solteira – Universidade Estadual Paulista, Ilha Solteira, São Paulo

来源：

Journal of Control, Automation and Electrical Systems | 2015年 / 26卷 / 02期

关键词：

Mathematical models; Distribution systems planning; Mixed integer linear programming; Reliability indices;

D O I：

10.1007/s40313-014-0165-z

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, a two-stage solution methodology for distribution network planning considering reliability indices improvement is proposed. This methodology comprises optimal distribution network expansion and improves network reliability by allocating sectionalizing switches and interconnection circuits (tie line circuits). The optimal expansion problem of radial aerial distribution systems is formulated as a mixed binary linear programming (MILP) problem aiming to reduce the investment and operational costs, subject to physical and operational constraints. The allocation of controlled sectionalizing switches and interconnection circuits is also formulated as a MILP in order to improve the network reliability indices. A pseudo-dynamic planning method is used to solve planning and reliability models through a heuristic technique that first solves the planning model followed by the solution of the reliability model, in each stage of planning horizon. Numerical results are presented for a 54-bus distribution system from literature. © 2015, Brazilian Society for Automatics--SBA.

引用

页码：170 / 179

页数：9

共 17 条

[1]

Alguacil N., Motto A.L., Conejo A.J., Transmission expansion planning: a mixed-integer LP approach, IEEE Transaction on Power Systems, New York, 18, 3, pp. 1070-1077, (2003)

[2]

Billinton R., Jonnavithula S., Optimal Switching Device Placement in Radial Distribution Systems, IEEE Trans. on Power Systems, 11, 3, pp. 1646-1651, (1996)

[3]

Carvalho M.S., Ferreira L.A.F.M., Lobo F.G., Barruncho L.M.F., Distribution network expansion planning under uncertainty: a hedging algorithm in an evolutionary approach, IEEE Transactions on Power Delivery, 15, 1, pp. 412-416, (2000)

[4]

CPLEX Optimization subroutine library guide and reference, version 11.0, CPLEX Division, ILOG Inc., Incline Village, NV, USA, (2008)

[5]

Fourer R., Gay D.M., Kernighan B.W., AMPL: A modeling language for mathematical programming. CA:Brooks/Cole-Thomson Learning, Pacific Grove, 2$$^{nd}$$nd Ed, (2003)

[6]

Gonen T., Eletric Power Distribution Systems Engineering, (1986)

[7]

Haffner S., Pereira L.F.A., Pereira L.A., Barreto L.S., Multistage model for distribution expansion planning with distributed generation - part I: problem formulation, IEEE Transactions on Power Delivery, 23, 2, pp. 915-923, (2008)

[8]

Haffner S., Pereira L.F.A., Pereira L.A., Barreto L.S., Multistage model for distribution expansion planning with distributed generation - part II: numerical results, IEEE Transactions on Power Delivery, 23, 2, pp. 924-929, (2008)

[9]

Kathor S.R., Leung G., Power distribution Planning: A review of models and issues. IEEE Transactions on Power Systems, New York, 12, 3, (1997)

[10]

Levitin G., Optimal Sectionalizer Allocation in Electric Distribution Systems by Genetic Algorithm, Electric Power Systems Research, pp. 97-102, (1994)

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