Paper Info
Title
A hybrid fuzzy-PEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines
Abstract
This paper proposes a new stochastic framework based on point estimate method to solve the optimal operation management of Distribution Feeder Reconfiguration DFR considering several Wind Turbines WTs in the system. The proposed method can properly solve the complex and discrete DFR optimization problem by the use of an adaptive modification approach based on firefly algorithm FA. In addition, a new stochastic solution based on 2m Point Estimate Method 2m PEM is proposed to handle the uncertainty associated with the problem random variables including the active and reactive loads as well as the wind speed variations effectively. The problem is then formulated in a multi-objective optimization structure including four significant targets: 1 active power losses, 2 bus voltage deviation, 3 total system costs and 4 total pollution produced. As a result of the conflicting behavior of the four objective functions, a fuzzy based clustering technique is employed to reach the set of optimal solutions called Pareto solutions. The feasibility and satisfying performance of the proposed method is examined on the IEEE 32-bus standard test system.
Year
DOI
Venue
2014
10.3233/IFS-130850
Journal of Intelligent and Fuzzy Systems
Keywords
DocType
Volume
distribution feeder reconfiguration,problem random variable,discrete DFR optimization problem,optimal operation management,total system cost,proposed method,wind turbine,multi-objective optimization structure,active power loss,new stochastic framework,point estimate method,standard test system,Distribution Feeder Reconfiguration DFR,hybrid fuzzy-PEM stochastic framework
Journal
26
Issue
ISSN
Citations 
4
1064-1246
26
PageRank 
References 
Authors
1.70
3
2
Name
Order
Citations
PageRank
Reza Sedaghati1262.04
Abdollah Kavousi-Fard226831.99