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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.

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The ability to provide the necessary power for consumer by the shortest and the safest route accompanying low cost is one of the most important engineers' duties in distributed networks. The purpose of this work is designing a distributed network based on geographic information system (GIS) and genetic algorithm (GA). This procedure has a considerable success in solving distributed network design problems as well as loop and link structured urban distribution networks optimization.

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