原文信息：
Impact of model predictive control-enabled home energy management on large-scale distribution systems with photovoltaics
原文链接：
https://www.sciencedirect.com/science/article/pii/S2666792422000129
Highlights
•Stochastic home energy management system (HEMS) with more granular model details.
•Model predictive control coupling HEMS to quasi-steady-state time-series simulations.
•Impact of 1977 homes with photovoltaics and HEMS on an 8500-node distribution feeder.
Abstract
Residential customers use more than one-quarter of the electricity in the world. Optimally managing home energy consumption is an effective way of easing the operational challenges facing the electric grid with increasing solar photovoltaics (PV). This paper studies the impact of the future proliferation of home energy management systems (HEMS) in the presence of PV on large-scale distribution systems. First, we present a stochastic HEMS model that minimizes residential customers’ thermal discomfort and energy costs under uncertainty. The HEMS model schedules the optimal operations of residential appliances in the presence of PV within a mixed-integer linear programming-based model predictive control framework that links the proposed HEMS to a quasi-steady-state time-series simulation tool. Extensive simulations are conducted for a stand-alone residential home using two tariff structures and for 1977 homes on an 8,500-node distribution feeder. Simulation results quantify the impact of the future proliferation of HEMS on the large-scale distribution system with PV.
Keywords
Home energy management system
Model predictive control
Stochastic optimization
Co-simulation
Photovoltaic
Electric vehicle
Fig.2.Conceptual diagram of integrating HEMS in a distribution feeder.
Fig.3.QSTS simulation flowchart for a single house.
Fig.10.Simulation inputs including outdoor temperature (top), solar insolation(second from top), and TOU rates (bottom).
Fig.18.Comparison of the average cumulative cost of electricity for only the homes that are coupled to HEMS in the controlled scenario in the baseline (orange) and controlled (blue) scenarios. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
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