摘要
为发挥变频空调(IAC)集群在平抑分布式电源波动方面的调控潜力,该文提出一种变频空调集群多时间尺度模型预测控制策略。首先,根据IAC调控方式的不同,构建基于温度指令调控的等效电机模型与基于直接功率控制的等效储能模型,分别用以实现IAC集群的15min级与1min级控制。在温度指令调控方面,考虑IAC响应目标温度所需的动态过程,利用集中式控制架构实现温度指令的优化整定,并进一步研究了IAC的有序动作策略以缓解大规模IAC同时动作所带来的功率冲击问题;在直接功率控制方面,计及IAC间的状态差异,采用集中优化、自主响应的方式实现IAC集群的功率优化与快速响应。最后,经算例仿真,验证了该文所提控制策略可实现IAC集群的多时间尺度协同,能够有效平抑分布式电源的功率波动。
To exert the potential of inverter air conditioner(IAC) cluster in stabilizing the fluctuation of distributed generation, this paper proposes a multi-time scale model predictive control strategy for IAC cluster. First, an equivalent generation model based on temperature command regulation and an equivalent energy storage model based on direct power control are constructed to realize 15-minute and 1-minute level control of IAC clusters, respectively. In terms of temperature command regulation, the dynamic process of the IAC responding to the target temperature is considered, and the centralized control architecture is used to obtain the optimal temperature command. In addition, the orderly action strategy of IAC is further studied to alleviate the power shock caused by the simultaneous action of large-scale IACs. In terms of direct power control, the state difference between IACs is considered, the power optimization and fast response of the IAC cluster are realized by means of centralized optimization and autonomous response. Finally, the simulation verified that the power fluctuation of the distributed power generation can be effectively suppressed by the proposed multi-time scale coordination control strategy of the IAC cluster.
作者
杨炜晨
苗世洪
刘志伟
涂青宇
林毓军
Yang Weichen;Miao Shihong;Liu Zhiwei;Tu Qingyu;Lin Yujun(State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology,Wuhan 430074 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2022年第19期4848-4861,共14页
Transactions of China Electrotechnical Society
基金
国家电网有限公司总部管理科技资助项目(5419-202199551A-0-5-ZN)。
关键词
变频空调集群
多时间尺度控制
模型预测控制
功率波动平抑
Inverter air conditioner cluster
multi-time scale control
model predictive control
power fluctuation stabilization
作者简介
杨炜晨,男,1995年生,博士研究生,研究方向为交直流混联电网及配电网控制。E-mail:yangwc@hust.edu.cn;通信作者:苗世洪,男,1963年生,教授,博士生导师,研究方向为电力系统保护、控制及计算,储能系统及应用、配电网及微电网新技术等。E-mail:shmiao@hust.edu.cn。