A Dynamic Data-driven Approach for Operation Planning of Microgrids

摘要: Abstract Distributed generation resources (DGs) and their utilization in large-scale power systems are attracting more utilities as they becoming qualitatively reliable economically viable. However, uncertainties from DGs fluctuations load demand must be considered when determining the optimal operation plan for a microgrid. In this context, novel dynamic data-driven application (DDDAS) approach is proposed real-time of an electric microgridwhile considering its conflicting objectives. particular, approachis equipped with three modules: 1) database including microgrid topology data (i.e., demand, market price electricity, etc.) environmental factors solar radiation, wind speed, temperature, etc.); 2) simulation, which simulated embedded rule-based scaleidentification procedures; 3) multi-objective optimization module finds near-optimal terms minimum operating cost emission using particle-filtering based algorithm. The complexity depends on scaleof problem identified simulation module. results obtained sent back to system enhance operation. experiments conducted study demonstratethe assessment control microgrids.