Optimal air-conditioning load control in distribution network with intermittent renewables

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• 作者：Dongxiao WANG ; Ke MENG ; Xiaodan GAO…
• 关键词：Demand side management ; Air ; conditioning load ; Battery energy storage system ; Rolling horizon optimization
• 刊名：Journal of Modern Power Systems and Clean Energy
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：5
• 期：1
• 页码：55-65
• 全文大小：2862KB
• 刊物主题：Energy Systems; Renewable and Green Energy; Power Electronics, Electrical Machines and Networks;
• 出版者：Springer Berlin Heidelberg
• ISSN：2196-5420
• 卷排序：5

文摘

The coordinated operation of controllable loads, such as air-conditioning load, and distributed generation sources in a smart grid environment has drawn significant attention in recent years. To improve the wind power utilization level in the distribution network and minimize the total system operation costs, this paper proposes a MILP (mixed integer linear programming) based approach to schedule the interruptible air-conditioning loads. In order to mitigate the uncertainties of the stochastic variables including wind power generation, ambient temperature change, and electricity retail price, the rolling horizon optimization (RHO) strategy is employed to continuously update the real-time information and proceed the control window. Moreover, to ensure the thermal comfort of customers, a novel two-parameter thermal model is introduced to calculate the indoor temperature variation more precisely. Simulations on a five node radial distribution network validate the efficiency of the proposed method.