Abstract
Demand side management (DSM) can help promote the efficiency and reliability of a power system. However, the benefits of DSM in the manufacturing industry will be weakened if the interactions between industrial load control and climate control are not considered. For example, industrial load control may impact the indoor temperature and humidity, affecting climate control. This interaction may ultimately result in an unexpected deviation from the ideal DSM plan. Hence in this paper, coordinated industrial load control and climate control are investigated in a cold machine shell manufacturer under time-of-use prices. The interaction of industrial loads and climate control is modeled, and a model predictive control-based method is proposed to address forecast uncertainties. The objective of DSM is to minimize electricity costs meanwhile meeting the respective objectives of the industrial load control and climate control. Case studies have verified the above benefits for a cold machine shell manufacturer, and the results show that additional reductions in demand during peak hours can be achieved using the proposed method.
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