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A novel two-level scheduling method was proposed in this paper, which helps an aggregator optimally schedule its flexible thermostatically controlled loads with renewable energy to arbitrage in the intraday electricity market. The proposed method maximizes the economic benefits of all the prosumers in the aggregation, and naturally helps balance intra-hour differences between supply and demand of...
Robust-index method is proposed to tackle the challenges of uncertainties caused by customer behavior in order to minimize comfort violation in household load scheduling. Robust indexes for different kinds of loads are developed and integrated into the load scheduling optimization problems in the form of additional constraints, and thus the obtained load schedules are able to reach the expected robust...
With the rapid development of smart grid, advanced metering, modern control and communication technologies, demand-side response technology has grown up greatly. As a kind of high elastic and coefficient demand response resource, the thermostatically controlled loads have become a major research focus. This paper involved the influence of various factors on potential regulation capacity of electrical...
In this paper, we developed an optimal dispatching model of Smart Home Energy Management System (SHEMS) with distributed energy resources (DERs) and intelligent domestic appliances. In order to achieve multi-objective optimization between the saving money and living comfortable, we investigate the math models of various components and come up with the new concept “load value” for quantitative measure...
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