Abstract
As more and more renewable generation resources such as photovoltaic and wind-power are connected to the micro-grid in smart grid, it is prone to bring challenges to balance supply and demand for the uncertain and variable nature of renewable generation resources. In this paper, we propose a collaborative fuzzy control strategy (CFCS) of aggregated regenerative electric heaters (REHs) to balance renewable energy generation and maintain the real-time balance between supply and demand. First, we describe the system architecture of aggregated REHs for accommodating renewable energy. Then, we establish the information control model of a single REH. Next, based on the system architecture and the model, a collaborative control strategy, including state awareness, real-time analysis, scientific decision-making, and precise execution, is presented to realize the optimal control of the aggregated REHs for accommodating renewable energy. Finally, the simulation results show that the proposed strategy not only can meet the demand for accommodating renewable energy generation effectively but also ensure residential comfort and the heat-storage percent of REHs.
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