Abstract
The rapid fluctuations of renewable power generation such as wind turbines and photovoltaic power plants make significant risks in Multiple Micro-Grids (MMGs) planning and partitioning problem. To control the risk, in this paper a risk-based model is presented for optimal planning and partitioning of MMGs under uncertainties. In addition, two term technical risk and economical risk are introduced to analyze the total risk on MMGs. Genetic algorithm is used for solving the optimization problem. Distributed energy resources and storages placement in MGs and tie switches status for MGs connection to grid or MGs neighbors have been determined, simultaneously. A voltage stability index is formulated and applied for the optimal placement of MMGs via AC power flow tool. Simulation studies is established on the 33-bus IEEE test distribution system and the consequent discussions demonstrate the efficiency of the proposed methodology.
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