This paper presents a mixed‐integer quadratic programming (MIQP) optimization model for integrated energy management in microgrids, incorporating renewable energy sources, energy storage systems, combined heat and power systems, and demand‐side management. The model optimizes day‐ahead operation for both thermal and electrical loads in an islanded microgrid, determining the optimal placement of energy storage systems and combined heat and power. A multiobjective function minimizes voltage deviations, energy losses, renewable energy curtailment, and operating costs. Simulations on the IEEE 69‐bus distribution network reveal that the proposed model reduces energy losses by 60% (from 3090 to 1378 kW h), improves minimum voltage from 0. 990 to 0. 998 p. u. , and decreases operating costs by 7. 3% (from 3898 to 3840) in scenarios with optimal combined heat and power and battery placement. The model provides robust and efficient energy management, ensuring improved network performance and reduced costs compared to traditional methods. Using the Gurobi solver guarantees global optimality and computational efficiency.
Hosseinpour et al. (Thu,) studied this question.