考虑空调负荷需求响应的负荷恢复量削减方法

doi:10.19595/j.cnki.1000-6753.tces.210633

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摘要温控负荷的冷负荷启动特性导致停电后负荷量增加,使其可能超过系统的最大可恢复负荷量。为保证负荷恢复的顺利进行,以空调负荷作为温控负荷的代表,提出一种考虑需求响应的负荷恢复量削减方法。首先,建立了计及停电时间的空调负荷聚合功率估计模型,快速计算停电后的空调负荷聚合功率;然后,综合考虑暂态安全约束以及系统可提供的恢复功率,确定变电站单次最大可恢复负荷量;最后,基于空调负荷群聚合功率估计模型和变电站单次可恢复负荷量限值,利用需求响应技术削减负荷恢复量,保证单次负荷恢复量在限值之内。仿真结果表明,所提方法在不同场景下能够通过需求响应技术实现空调负荷恢复量削减,保证系统的可靠恢复。

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关键词 ：负荷恢复, 需求响应, 空调负荷, 冷负荷启动

Abstract：Cold-load pickup as a result of a major contribution of thermostatically controlled loads makes load amount be higher than pre-outage levels, even exceeding the maximum restorable load amount. To ensure efficient and smooth load restoration, this paper proposes a novel load restoration reduction method considering demand response of air conditioning loads which are the representative of thermostatically controlled loads. At first, a model for estimating the aggregated power of air conditioning loads taking into account the outage time is developed, which can calculate the aggregated power after a period of outage rapidly. Then, considering the transient safety constraints and the system available recovery power, the maximum restorable load amount that a substation can pick up at one time is determined. Finally, based on estimation model and the maximum restorable load amount, the demand response technique is used to reduce the load restoration amount to make sure the load restoration is within the maximum limit. The simulation results demonstrate that the proposed method can achieve the reduction of air conditioning loads amount under different scenarios by means of demand response techniques and ensure the reliable restoration of a system.

Key words： Load restoration demand response air conditioning loads cold-load pickup

收稿日期: 2021-05-07

PACS:

TM732

基金资助:国家重点研发计划资助项目（2017YFB0902600）

通讯作者: 范睿男,1991年生,博士研究生,研究方向为电力系统恢复等。E-mail：fanrui@mail.sdu.edu.cn（）

作者简介: 孙润稼男,1993年生,博士后, 研究方向为电力系统恢复等。E-mail：sunrunjia@mail.sdu.edu.cn

引用本文:

范睿, 孙润稼, 刘玉田. 考虑空调负荷需求响应的负荷恢复量削减方法[J]. 电工技术学报, 2022, 37(11): 2869-2877. Fan Rui, Sun Runjia, Liu Yutian. A Load Restoration Amount Reduction Method Considering Demand Response of Air Conditioning Loads. Transactions of China Electrotechnical Society, 2022, 37(11): 2869-2877.

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