Distributed Control Strategy of Renewable Energy Clusters Considering the Uncertainty of Output

Abstract

The traditional centralized control mode can not adapt to the development trend of miniaturization, decentralization and large number of renewable energy power stations. Therefore, the purpose of this paper is to develop a cluster distributed control method based on the idea of autonomous coordination. At the same time, aiming at the inherent uncertainty error of renewable energy power generation, a double-layer optimization model is designed to improve the accuracy and timeliness of control response. Firstly, the uncertainty of power output is modeled based on TSL distribution, and a bi level optimization strategy is constructed. Then, based on the consensus algorithm of multiagent system, the distributed solution of the model is realized. The robustness and flexibility of the algorithm in various scenarios are verified by simulation. At the same time, through quantitative evaluation, the effectiveness of the proposed strategy in operation is verified. The results show that the proposed method can effectively improve the accuracy of cluster tracking instructions, alleviate the adverse impact of wind, light and other renewable energy output uncertainty on the stable operation of power grid, promote renewable energy consumption, and achieve the goals of friendly grid connection, local autonomy and adaptive coordination.