The correlated renewable energy farms are usually aggregated as a cluster in economic dispatch to relieve computational burden.This strategy can also achieve better performance since the precision of predicting the po...The correlated renewable energy farms are usually aggregated as a cluster in economic dispatch to relieve computational burden.This strategy can also achieve better performance since the precision of predicting the power generation of a cluster can be higher than those of individual farms.This paper proposes an optimal decomposition method to allocate dispatch schedules among renewable energy farms(REFs)in the cluster under existing stochastic optimization framework.The proposed model takes advantage of probabilistic characteristics of renewable generation to minimize the curtailment and ensure the feasibility of dispatch schedule of the clusters.Approximated tractable formulation and efficient solution method are the proposed to solve the proposed model.Numerical tests show that the proposed method achieves the optimal decomposition of dispatch schedule among REFs and facilitates the utilization of renewable generation.展开更多
基金This work was supported in part by the National Key R&D Program of China“Technology and Application of wind Power/Photovoltaic Power Prediction for Promoting Renewable Energy Consumption”(No.2018YFB0904200)eponymous Complement S&T Program of State Grid Corporation of China(No.SGLNDKOOKJJS1800266).
文摘The correlated renewable energy farms are usually aggregated as a cluster in economic dispatch to relieve computational burden.This strategy can also achieve better performance since the precision of predicting the power generation of a cluster can be higher than those of individual farms.This paper proposes an optimal decomposition method to allocate dispatch schedules among renewable energy farms(REFs)in the cluster under existing stochastic optimization framework.The proposed model takes advantage of probabilistic characteristics of renewable generation to minimize the curtailment and ensure the feasibility of dispatch schedule of the clusters.Approximated tractable formulation and efficient solution method are the proposed to solve the proposed model.Numerical tests show that the proposed method achieves the optimal decomposition of dispatch schedule among REFs and facilitates the utilization of renewable generation.
