Integrated dispatch and control of microgrid based on extreme dynamic programming algorithm

With the development of power electronics technology, microgrid has become an inevitable trend of distributed generation. By means of traditional multi-time scale control strategies, it is difficult to meet the requirements of high quality frequency stability control and economic dispatch at the same time. To solve this problem, an extreme dynamic programming algorithm is proposed. The proposed algorithm takes the adaptive dynamic programming algorithm as the framework and the extreme learning machine as the kernels of its evaluation module, model module, execution module and prediction module. The integrated dispatch and control controller based on the proposed algorithm can replace the multi-time scale control combined strategy of "droop control + automatic generation control + economic dispatch" under the traditional mode. Finally, in order to verify the effectiveness of the proposed algorithm, a microgrid model of 5 nodes is simulated, and the results verify the feasibility and effectiveness of the proposed extreme dynamic programming algorithm. © 2019, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.