Multiobjective multistage distribution system planning using tabu search

This study presents a multiobjective tabu search algorithm to solve the multistage planning problem of a distribution system formulated as a multiobjective dynamic mixed integer non-linear programming problem. Multiobjective problems do not have a specific solution, but a set of solutions that allow...

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Vydané v:IET generation, transmission & distribution Ročník 8; číslo 1; s. 35 - 45
Hlavní autori: Pereira Junior, Benvindo Rodrigues, Cossi, Antonio Marcos, Contreras, Javier, Mantovani, José Roberto Sanches
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Stevenage The Institution of Engineering and Technology 01.01.2014
Institution of Engineering and Technology
The Institution of Engineering & Technology
Predmet:
54‐bus system
Applied sciences
cables
Construction costs
Contingency
costs
distribution network restoration problem
Dynamical systems
Electrical engineering. Electrical power engineering
Electrical power engineering
Energy use
Exact sciences and technology
feeders
investment
Mathematical models
Miscellaneous
multiobjective dynamic mixed integer nonlinear programming problem
multiobjective multistage distribution system planning
Multistage
multistage planning problem
Networks
Nonlinear dynamics
nonlinear programming
Operation. Load control. Reliability
planning horizon
power cables
power distribution planning
power distribution reliability
Power networks and lines
power system restoration
reliability
search problems
sectionalising switches
Substations
Switching theory
Tabu search
Testing. Reliability. Quality control
costs
cables
nonlinear programming
multiobjective multistage distribution system planning
multistage planning problem
54-bus system
power distribution planning
reliability
investment
substations
sectionalising switches
distribution network restoration problem
power distribution reliability
power cables
multiobjective dynamic mixed integer nonlinear programming problem
planning horizon
tabu search
feeders
power system restoration
search problems
Substation
Costs
Multistage method
Power system planning
Power system economics
Multiobjective programming
Power distribution planning
Mixed integer programming
Power system restoration
System reliability
Switching
Forecasting management
Search algorithm
Bus system
Trade
Tabu search
Electrical network
Numerical simulation
Contingency table
Power markets
Reconfigurable architectures
Selector switch
Objective function
Distribution network
ISSN:1751-8687, 1751-8695
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Popis
Shrnutí:This study presents a multiobjective tabu search algorithm to solve the multistage planning problem of a distribution system formulated as a multiobjective dynamic mixed integer non-linear programming problem. Multiobjective problems do not have a specific solution, but a set of solutions that allows us to observe the trade-off among the analysed objectives. Taking into account this concept, the objective functions of the model proposed in this study are: costs (investment and operational) and reliability. The actions deemed in this model for each period of the planning horizon are: increase in the capacity of existing substations (or construction of new ones), exchange of cables in existing lines (and construction of new feeders), reconfiguration of the network, allocation of sectionalising switches and construction of tie lines. The system's reliability is evaluated by means of the non-supplied energy under contingencies using the n − 1 criterion. By line switching and the use of tie lines, part of the loads affected by a contingency can be restored, thus, the non-supplied energy can be evaluated by solving a distribution network restoration problem. Numerical results are presented for a 54-bus system.
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ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2013.0115