Capacity configuration of distributed generation in microgrid considering the correlation among wind velocity, light intensity and load

Abstract

The correlation among wind velocity, light intensity and load is not considered in generation capacity configuration in microgrid. This paper proposes a combined sampling method which can consider the correlation based on Copula theory. It analyzes the law of data, then chooses the best Copula function of every segment to sample and combines all sampling result together. A mathematical model of capacity configuration of distributed generation in microgrid is established. The model takes the minimum annual economic expenditure as the objective function, and power shortage rate and installation capacity of DG as constraints. With sampling data as input, the model can be solved by particle swarm optimization. Simulation result shows that the configuration result using combined sampling method is similar with the result using real data. In addition, the impact of different correlation on configuration result is analyzed.