Power system dynamic economic dispatch with wind-solar integration based on particle swarm intelligent searching algorithm

With the larger scale of renewable energy sources connected to power system, the power grid operation has to deal with even more uncertainties. It is significant to describe the randomness and intermittence of renewable energy accurately, and take into account the correlation of different renewable energy sources generation. Copula function is proposed to formulate the randomness and correlation of wind-solar power generation in this paper. Based on some important correlation indexes, such as Kendall correlation coefficient, the Copula function can be determined. In order to deal with the stochastic characteristics of wind-solar power generation, the scenario method is proposed to establish the day-ahead dynamic economic dispatch model considering the correlation of wind-solar power generation. The particle swarm intelligent searching algorithm is then introduced to solve it, which is good at overcoming the inherent “curses of dimensionality”. The proposed model and algorithm are finally verified by the IEEE 39-bus system.