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Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries
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摘要
En 中文
In this paper, the office energy coordination control problem with multiple batteries is solved by developing a distributed adaptive dynamic programming (ADP) algorithm. First, all the batteries are modeled using a unified battery by their average performance to transform the multi-input optimal control problem to a single-input one, which avoids high-dimensional optimization. Then, based on the optimal control law for the unified battery, only a single-input optimization problem is solved for one of all the batteries in each iteration. Finally, by achieving optimal control for all the batteries, the overall optimal control scheme for the office energy scheduling can be obtained, and therefore the energy cost from the power grid can be saved. Simulation analysis illustrates the effectiveness of the developed algorithm.
Keyword:
Smart grid
energy management
optimal control
adaptive dynamic programming