A unified time scale intelligent control algorithm for micro grid based on extreme dynamic programming
Junbin Chen, Tao Yu, Linfei Yin, Jianlin Tang, Hanqi Wang · CSEE Journal of Power and Energy Systems · 2019
Benefiting from the progress of power electronics technology, distributed generation technology is developing rapidly. Since micro grids cannot rely on traditional multi-time scale control strategies to ensure the high-quality frequency stability control and economic in the same time scale, this paper proposes an extreme dynamic programming algorithm. The proposed algorithm takes an adaptive dynamic programming algorithm as the framework, an extreme learning machine as a kernel of the evaluation module, a model module, an implementation module and a new prediction module. The resulting unified time scale intelligent control algorithm better realizes the combined functions of droop control + automatic generation control + economic dispatch in the traditional opermode. Finally, in order to verify the effectiveness of the proposed algorithm, a micro grid model of 8 nodes is simulated. The results confirm the feasibility and validity of the proposed extreme dynamic programming algorithm.