Cooperative Energy Management Approach For Short-Term Compensation Of Demand And Generation Variations

In this work, we introduce the short-term phase of a cooperative energy management algorithm, which exploits the flexibilities arising from the shifted switching of heating systems and charging and discharging of thermal storage. The cooperative approach does not follow any financial gain optimization for individual households but rather targets a solution that is beneficial for all parties involved. We introduce profile deviation categories based on previous studies and define the concept of flexibility provided by the heating systems according to operational boundaries and the capacity of the thermal storage. Within this short-term phase of the energy management algorithm, the switching of the heating systems is coordinated in order to avoid transient effects due to simultaneous switching. Furthermore, occurring deviations from a day-ahead schedule are detected, evaluated and analyzed, and an adequate combination of resources to dispatch is calculated in order to compensate the deviations. The method evaluates short-term weather forecasts and user behavior forecasts, statistical data and signals from the upper grid level. The short-term load compensation is based on local state estimation and includes grid aspects. We present here preliminary results from a case study for a radial grid segment from the model region, in which the combination of dispatch resources is calculated such that their distance from the location of the primary cause of the deviation is minimized.