An MIQP model for microgrid unit commitment incorporating grid-connected/islanded operating modes and power network

Abstract

This paper presents a mixed-integer quadratic programming (MIQP) model to address the day-ahead unit commitment (UC) problem for microgrids. The microgrid in this study includes conventional generators (CGs), renewable energy sources, and energy storage systems. The transition between grid-connected and islanded operating modes, as well as power grid constraints, is integrated into the proposed MIQP optimization model. The objective of the suggested formulation is to minimize the total operating costs of the microgrid, including the operating costs of conventional generating units and the expenses of purchasing electricity from the main grid. The MIQP model is derived from a mixed-integer nonlinear programming (MINLP) model by linearizing the product of two continuous variables and quadratic elements. The proposed MIQP model is implemented using the GAMS language with the commercial solver CPLEX and evaluated on a modified IEEE 33-node microgrid. The computational results demonstrate the effectiveness of the proposed optimization approach.