A Matheuristic Approach for Short-Term Distribution System Planning Considering Distributed Energy Resources

Abstract

In this paper it is proposed the development of a short-term approach for electric power distribution system, considering the allocation of fixed and switched capacitor banks, photovoltaic panels, distributed generators, and energy storage systems. The model incorporates uncertainties related to conventional demand and solar irradiance through representative scenarios. Electric vehicles demand is modeled based on a probability distribution curve. The model is solved using a matheuristic based on neighborhood criteria, and the results are compared with those obtained from a mixed-integer second order conic programming model solved by commercial solvers, highlighting computational time and feasibility limitations. The test system used is a 136-node network, and the objective function minimized includes the costs of energy purchase at the substation, investment costs, and operation and maintenance costs. The results demonstrate the effectiveness of the proposed methodology, showing superior performance compared to commercial solvers.