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考虑多重轮换调控的空调负荷调控潜力评估与控制策略

曾庆彬 梁伟强 张勇军 邓文扬

电力系统自动化2024,Vol.48Issue(4):123-131,9.
电力系统自动化2024,Vol.48Issue(4):123-131,9.DOI:10.7500/AEPS20230531003

考虑多重轮换调控的空调负荷调控潜力评估与控制策略

Regulation Potential Evaluation and Control Strategy of Air Conditioning Load Considering Multiple Rotation Regulation

曾庆彬 1梁伟强 2张勇军 3邓文扬3

作者信息

  • 1. 广州市奔流电力科技有限公司,广东省广州市 510670||华南理工大学电力学院,广东省广州市 510641
  • 2. 广州市奔流电力科技有限公司,广东省广州市 510670
  • 3. 华南理工大学电力学院,广东省广州市 510641
  • 折叠

摘要

Abstract

Dispatching air conditioning flexible load is an effective measure to alleviate the peak load of the grid and is of great significance for the stable operation of the power grid.Firstly,the air conditioning load model is constructed,and considering the air conditioning switching and the allowable turn-off time,the regulation potential evaluation method of air conditioning considering the influence of control time is proposed by introducing the idea of micro-element method.Secondly,the development demand for the load aggregator system is analyzed and the structure of air conditioning status monitoring system is proposed based on the software defined network.Then,with the goal of minimizing the difference between the aggregated power variation of air conditioning group and the regulation demand of the power grid,and taking user comfort as an important constraint,an air conditioning control strategy considering multiple rotation regulation is constructed with the consideration of the air conditioning switching status and total regulation time.Finally,through simulation analysis,it is verified that the proposed model can not only accurately evaluate the regulation potential of air conditioning according to different response time,but also improve the control ability of air conditioning.

关键词

空调负荷/需求响应/微元法/负荷聚合商/多重轮换调控/潜力评估

Key words

air conditioning load/demand response/micro-element method/load aggregator/multiple rotation regulation/potential evaluation

引用本文复制引用

曾庆彬,梁伟强,张勇军,邓文扬..考虑多重轮换调控的空调负荷调控潜力评估与控制策略[J].电力系统自动化,2024,48(4):123-131,9.

基金项目

国家自然科学基金资助项目(52177085). This work is supported by National Natural Science Foundation of China(No.52177085). (52177085)

电力系统自动化

OA北大核心CSTPCD

1000-1026

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