Optimal Sizing of DG in MicroGrid Based on Genetic Algorithm

The deregulated energy environment, among other effects, has favored a gradual transition from centralized power generation to Distributed Generation (DG) sources connected at the Medium Voltage or Low Voltage side of the Distribution Network. Interconnection of small, modular generation and energy storage to low or medium voltage distribution systems forms a new type of power system, the microgrid (MG). In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources in MG, is developed. The methodology aims at finding the configuration, among a set of systems components, which meets the desired system reliability requirements, with the minimum Cost of Energy (COE). In first step, accurate mathematical models for characterizing PV module, wind generator, biogas plant and battery bank are proposed. In second step, based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. In addition to single source Distributed Generator (DG) and hybrid DG, this methodology is also capable to analyze MG. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.

کلیدواژه ها:

Microgrid ، Optimal unit sizing ، Cost of energy ، Hybrid renewable energy systems ، Genetic algorithm