article · IEEE Transactions on Industrial Electronics · 2017
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids
Qinglai Wei, Derong Liu, Frank L. Lewis, Yu Liu, Jie Zhang
Cited by 158Abstract and details only
Abstract
In this paper, a novel mixed iterative adaptive dynamic programming (ADP) algorithm is developed to solve the optimal battery energy management and control problem in smart residential microgrid systems. Based on the data of the load and electricity rate, two iterations are constructed, which are P-iteration and V-iteration, respectively. The V-iteration is implemented based on value iteration, which aims to obtain the iterative control law sequence in each period. The P-iteration is implemented based on policy iteration, which updates the iterative value function according to the iterative control law sequence. Properties of the developed mixed iterative ADP algorithm are analyzed. It is shown that the iterative value function is monotonically nonincreasing and converges to the solution of the Bellman equation. In each iteration, it is proven that the performance index function is finite under the iterative control law sequence. Finally, numerical results and comparisons are given to illustrate the performance of the developed algorithm.
Cite this paper
Wei, Q., Liu, D., Lewis, F. L., Liu, Y., & Zhang, J. (2017). Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids. IEEE Transactions on Industrial Electronics, 64(5), 4110–4120. https://doi.org/10.1109/tie.2017.2650872
Wei, Qinglai, et al. “Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids.” IEEE Transactions on Industrial Electronics, vol. 64, no. 5, 2017, pp. 4110–20, https://doi.org/10.1109/tie.2017.2650872.
Wei, Qinglai, Derong Liu, Frank L. Lewis, Yu Liu, and Jie Zhang. 2017. “Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids.” IEEE Transactions on Industrial Electronics 64 (5): 4110–20. https://doi.org/10.1109/tie.2017.2650872.
Wei, Q. et al. (2017) ‘Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids’, IEEE Transactions on Industrial Electronics, 64(5), pp. 4110–4120. Available at: https://doi.org/10.1109/tie.2017.2650872.
@article{wei2017mixed,
title = {{Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids}},
author = {Wei, Qinglai and Liu, Derong and Lewis, Frank L. and Liu, Yu and Zhang, Jie},
journal = {IEEE Transactions on Industrial Electronics},
volume = {64},
number = {5},
pages = {4110--4120},
year = {2017},
doi = {10.1109/tie.2017.2650872}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.