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Optimal network reconfigurations in distribution systems. II. Solution algorithms and numerical results

IEEE Transactions on Power Delivery · 1990 · Vol. 5(3) · pp. 1568–1574
Hsiao‐Dong ChiangR. Jean-Jumeau

Abstract

Using a two-stage solution methodology and a modified simulated annealing technique, the authors develop a solution algorithm to the network reconfiguration problem, which is a constrained, multiobjective, nondifferentiable, optimization problem. This solution algorithm allows the designer to obtain a desirable, global noninferior point in a reasonable computation time. Also, given a desired number of switch-on/switch-off operations involved in the network configuration, the solution algorithm can identify the most effective operations. In order to reduce the computation time required, the idea of approximate calculations is explored and incorporated into the solution algorithm, where two efficient load-flow methods are employed; one for high temperature and the other for low temperature. The solution algorithm has been implemented in a software package and tested on a 69-bus system with very promising results.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Optimal Power Flow DistributionMicrogrid Control and OptimizationSmart Grid Energy ManagementComputationAlgorithmControl reconfigurationSimulated annealingComputer scienceSoftwareMathematical optimizationMathematicsEmbedded system
Citations
386
FWCI
4.15
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9
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References
Optimization by Simulated Annealing
Science · 1983 · 44,165 citations
Distribution feeder reconfiguration for loss reduction
IEEE Transactions on Power Delivery · 1988 · 1,356 citations
Network reconfiguration in distribution systems for loss reduction and load balancing
IEEE Transactions on Power Delivery · 1989 · 4,781 citations
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