Based on the optimization and control of the output behaviors of gas turbines, flexible loads, energy storage, and electric vehicle clusters, this paper proposes a two-layer coordinated control model for the scheduling layer and network layer of the active distribution network and. Based on the optimization and control of the output behaviors of gas turbines, flexible loads, energy storage, and electric vehicle clusters, this paper proposes a two-layer coordinated control model for the scheduling layer and network layer of the active distribution network and. The focus of this paper is to evaluate benefits of coordinating flexible loads and energy storage to pro-vide power grid and end user services. We present a Generalized Battery Model (GBM) to describe the flexibility of building loads and energy storage. An optimization-based approach is proposed. stations have expe-rienced rapid growth, whose impacts on the power grid have become non-negligible. The model incorporates a dynamic pricing mechanism that links carbon pricing and time-of-use electricity tariffs.
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