Stochastic Multi-objective Distribution Network Reconfiguration Considering Wind Turbines

Distribution Network Reconfiguration (DNR) is an important challenge in the operation of distribution networks which may be influenced by factors such as Wind Turbine Generators (WTG). In this paper, a novel policy is implemented to solve the DNR problem in presence of WTGs. The objectives of proposed DNR policy are minimization of active power losses, total electrical energy costs, and total emissions of the network. To solve the problem, an improved version of Honey Bee Mating Optimization (IHBMO) algorithm is implemented. Moreover, a stochastic scenario-based model is considered to meet the uncertainty of WTGs and loads. The bases of the proposed stochastic model are generation of stochastic scenarios using the roulette wheel mechanism, and a scenario reduction technique to decrease the computation burden of the problem.  For each scenario, a multi-objective mechanism is employed to save non-dominated solutions extracted by IHBMO. A decision-making procedure based on fuzzy clustering technique is used to rank the obtained non-dominated solutions according to the decision-maker preferences. Finally, an 84-bus distribution test network is considered to evaluate the feasibility and effectiveness of the proposed method.  Obtained results show that the proposed method can be a very promising potential method for solving the stochastic multi-objective reconfiguration problem in distribution systems.