Model predictive control of industrial loads and energy storage for demand response

With the potential to enhance the power system's operational flexibility in a cost-effective way, demand response is gaining increased attention worldwide. Industrial loads such as cement crushing plants consume large amounts of electric energy and therefore are prime candidates for the provision of significant amounts of demand response. They have the capability to turn on/off an arbitrary number of their crushers thereby adjusting their electric power consumption. However, the change in power consumption by cement crushing plants and also other industrial loads are often not granular enough to provide valuable ancillary services such as regulation and load following. In this paper, we propose a coordination method based on model predictive control to overcome the granularity restriction with the help of an energy storage.

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