Optimal siting and sizing of intermittent distributed generator considering correlations

Under the background of energy conservation, the intermittent distributed generator has been developed rapidly. It is represented by distributed wind turbine generator and photovoltaic generator. Based on the chance constrained programming, this paper proposes a model for optimal siting and sizing of intermittent distributed generator with the objective of minimizing annual comprehensive cost. The proposed model can take the correlations among wind speed, illumination intensity and load demand into account. The correlations are characterized by rank correlation coefficient matrix, Latin hypercube sampling and Cholesky decomposition are applied to generate the correlated samples. Dynamic niche differential evolution algorithm is used to solve the model. Case studies are carried out on the IEEE 33-bus distribution network, and the results verify the feasibility of the proposed model. ©2015 State Grid Electric Power Research Institute Press