Generation-Load Coordinative Scheduling considering the Demand-Response Uncertainty of Inverter Air Conditioners

Wei Hu, Jin Yang, Yi Wu, Weiguo Zhang, Xueming Li, Xiaorong Li and Ciwei Gao

Mathematical Problems in Engineering, 2020, vol. 2020, 1-11

Abstract:

Inverter air conditioners (IACs) have gradually become the mainstream of resident air-conditioning equipment. Similar to traditional fixed-frequency air conditioners, IACs have the potential for demand response and load scheduling. However, the uncertainty of IACs is nonnegligible in generation-load scheduling. In this paper, the uncertain demand-response cost of IACs is studied for the first time. Meanwhile, based on the cost, a generation-load coordinative day-ahead scheduling model is proposed. In the scheduling, an IACs aggregator and traditional generators are coordinately dispatched to minimize the expected scheduling cost of the power system. The case study shows that the coordinative scheduling model can reduce the scheduling cost of the power system and encourage the IACs aggregator to improve their responsiveness or reduce their uncertainty, so as to improve the economy and reliability of power scheduling.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6483194

DOI: 10.1155/2020/6483194

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