Optimal Planning of a Multi-Carrier Microgrid (MCMG) Considering Demand-Side Management

The multi-carrier microgrid (MCMG) is a restricted district comprising convertors and energy storage systems (ESSs) that are used to fulfill various energy demands. The structure and optimal operation of these MCMGs with regard to fulfilling multi-carrier demands are presented in relation to their rapid spread. In this paper, a two-stage optimum planning and design method for an MCMG is presented in the planning horizon. The investment and operation (fuel and maintenance) costs are considered concurrently to find the optimal type and size of components over the planning horizon. At the first stage, the genetic algorithm (GA) is applied to determine the optimal type and size of components, such as combined heat and power (CHP), boiler, transformer, and solar panels. At the second stage, the mixed-integer nonlinear programming (MINLP) technique is used and simulated by the GAMS software to solve the operational problem with regard to the forecasted energy demands. This method is examined on a typical MCMG and the effectiveness of the proposed method is proven.

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