Pareto Dominance-Based Multiobjective Optimization Method for Distribution Network Reconfiguration

With ever increasing deployment of automation and communication systems in smart grids, distribution network reconfiguration is becoming a viable solution for improving the operation of power grids. A novel hybrid optimization algorithm is proposed in this paper that determines Pareto frontiers, as...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2016-05, Vol.7 (3), p.1401-1410
Main Authors: Asrari, Arash, Lotfifard, Saeed, Payam, Mohammad S.
Format: Article
Language:English
Subjects:
Algorithms
Distribution management
Electricity distribution
Encoding
Frogs
Fuzzy Pareto dominance (FPD)
Linear programming
Networks
Optimization
Optimization algorithms
Pareto frontier
Pareto optimality
Power system reliability
Reconfiguration
Reliability
reliability-based frog encoding
shuffled frog leaping algorithm (SFLA)
Smart grid
switch reliability index (SRI)
Switches
Voltage fluctuations
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Summary:With ever increasing deployment of automation and communication systems in smart grids, distribution network reconfiguration is becoming a viable solution for improving the operation of power grids. A novel hybrid optimization algorithm is proposed in this paper that determines Pareto frontiers, as the candidate solutions, for multiobjective distribution network reconfiguration problem. The proposed hybrid optimization algorithm combines the concept of fuzzy Pareto dominance with shuffled frog leaping algorithm (SFLA) to recognize optimal nondominated solutions identified by SFLA. The local search step of SFLA is also customized for power systems application so that it automatically creates and analyzes only the feasible and radial configurations in its optimization procedure, which significantly increases the convergence speed of the algorithm. Moreover, an adaptive reliability-based frog encoding is introduced that supervises the algorithm to concentrate on more reliable network topologies. The performance of the proposed method is demonstrated on a 136-bus electricity distribution network.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2015.2468683