Data-Based Adaptive Optimal Regulation of Smart Grid with Renewable Power and Energy Storage
Yingjun Wu, Chen Ji, Guowang Xu, Fei Zhou, Chaoyong Lin · 2023
The adaptive optimization and regulation of electricity can promote the development and construction of smart grids. In this paper, a data based heuristic dynamic programming (HDP) algorithm is proposed, which can obtain the optimal control strategy of smart grid without knowing the specific model, and overcome the difficulty of obtaining the accurate model of smart grid. Firstly, the working principles of the smart grid and its equipment were introduced. Secondly, a data-based HDP algorithm is proposed for the adaptive optimization problem of smart grids. Finally, the effectiveness of the algorithm was verified through simulation examples.