Distributed Autonomous Coordinated Dispatching Strategy for a Renewable Energy Cluster Considering Space-time Complementarity

The fluctuating characteristic of renewable energy generation and its joint cluster-based and decentralized deployment have introduced significant challenges to the dispatching and operation of power systems. Traditionally, centralized optimization model has been used for their dispatch. However, the centralized optimization model is subject to several shortcomings in terms of computational complexity, communication reliability, expansion flexibility, and output volatility. To overcome these issues, a distributed coordinated dispatching strategy is proposed in this paper. Based on the analysis of the space-time characteristic of the renewable generation cluster, an active power dispatching model that considers space-time complementarity was formulated. To solve this model, a distributed interactive computing method in the cluster domain based on the consensus algorithm was designed. The convergence of the proposed strategy in various scenarios is verified by the result of numerical simulation. In addition, the effectiveness of the proposed model in improving the robustness and flexibility of communication in the cluster operation is validated. With the space-time complementarity of the cluster, the fluctuation of cluster output and the impact of real-time random factors on the operation are effectively reduced, leading to cluster-friendly grid integration, local autonomy, and adaptive coordination.