Abstract
The large-scale penetration of distributed generation (DG) into the power grid brings great pressure to the scheduling of thermal power units. Due to its thermal storage characteristics, ground source heat pump (GSHP) load is capable of participating in peak shaving and valley filling without affecting the normal life of users. Therefore, this paper proposes a bi-level optimization control method for GSHP to participate in demand response (DR). In the upper level, the load aggregator (LA) evaluates users' DR potential by collecting users' relevant data, and participates in power market declaration with the goal of maximizing users' income. In the lower level, the local controller distributes the load among the units after receiving the DR instructions to achieve the optimal coefficient of performance (COP) of the system. Case studies are carried out based on the data of an actual GSHP system. Simulation results show that the proposed method is efficient and beneficial for all users.
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