Abstract
The proliferation of utilizing smart devices and electric vehicles (EVs) has engendered new opportunities for local distribution operators (LDOs) to flexibly energize these loads, given customers’ preferences. In this context, this paper proposes an integrated scheduling model allowing an LDO to efficiently incorporate and optimally reschedule potential demand flexibilities. Given the full knowledge of the LDO over the grid conditions and availability of its owned assets, we argue that an LDO can better reshape the load profiles of the customers than they could do. The proposed model couples the branch flow-based AC power flow model in distribution network with potential demand flexibilities classified into four generic types. The LDO is assumed to operate multiple solar PV plants, energy storage systems (ESS), and EV parking lots with smart charging stations. The practicality of the proposed model is investigated through two case studies implemented on the modified IEEE 33-node distribution test system. The simulation results reveal that the total operation cost of the community can be reduced by ∼10% without sacrificing customers’ comfort if the potential demand flexibilities are optimally rescheduled.
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