Electrical Engineering and Systems Science > Systems and Control
[Submitted on 16 Dec 2022 (v1), last revised 1 Feb 2023 (this version, v2)]
Title:Design Considerations of a Coordinative Demand Charge Mitigation Strategy
View PDFAbstract:This paper presents a coordinative demand charge mitigation (DCM) strategy for reducing electricity consumption during system peak periods. Available DCM resources include batteries, diesel generators, controllable loads, and conservation voltage reduction. All resources are directly controlled by load serving entities. A mixed integer linear programming based energy management algorithm is developed to optimally coordinate of DCM resources considering the load payback effect. To better capture system peak periods, two different kinds of load forecast are used: the day-ahead load forecast and the peak-hour probability forecast. Five DCM strategies are compared for reconciling the discrepancy between the two forecasting results. The DCM strategies are tested using actual utility data. Simulation results show that the proposed algorithm can effectively mitigate the demand charge while preventing the system peak from being shifted to the payback hours. We also identify the diminishing return effect, which can help load serving entities optimize the size of their DCM resources.
Submission history
From: Rongxing Hu [view email][v1] Fri, 16 Dec 2022 15:35:23 UTC (865 KB)
[v2] Wed, 1 Feb 2023 15:37:14 UTC (10,876 KB)
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