Adaptive voltage regulation strategy for inverter air conditioners considering the regulation capacity on user side

doi:10.3969/j.issn.2097-0706.2022.02.004

Abstract

Abstract:

High penetration access of distributed renewable energy and the popularization of electric vehicles have led to voltage quality problems such as over-voltage, under-voltage and voltage fluctuation in the distribution network. As a common flexible load, the inverter air conditioner （AC） can change its operating power, provide voltage regulation service for distribution network and improve the voltage quality of distribution network. However, it is necessary to consider the voltage regulation capacity on user side as providing voltage regulation service for distribution network. Therefore, an adaptive voltage regulation strategy considering the regulation capacity on user side of inverter AC is proposed. The compensation power is controlled by calculating the voltage regulation result at each node, and the voltage regulation potential of ACs can be evaluated by the AC thermoelectric equivalent model which is established to describe the dynamic characteristics of the indoor temperature. In order to verify the effectiveness of the proposed regulation strategy, the adaptive voltage regulation strategy of inverter ACs will be simulated in an IEEE 33 node distribution system. In the regulation process, the regulation capacity on user side is considered. The simulation results show that the proposed adaptive voltage regulation strategy of inverter ACs can reduce the compensation power required for regulation without over-voltage and under-voltage events,which gives full play to the voltage regulation potential of ACs.

Key words: voltage regulation, AC, distribution network, new energy grid connection, carbon neutrality, new power system

CLC Number:

TK01⁺8

HUA Yongzhu, XIE Qiangqiang, QIN Huibin, SHAO Lihuan, CUI Jiadong. Adaptive voltage regulation strategy for inverter air conditioners considering the regulation capacity on user side[J]. Integrated Intelligent Energy, 2022, 44(2): 21-28.

Figures/Tables 12

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Table 1

Thermoelectric equivalent model parameters

参数	定义	单位	取值范围
$t in$	房间温度	℃	22~26
$t set$	设定温度	℃	22~26
$α$	空调制冷功率方程系数		(-90.72,10.00)
$β$	空调制冷功率方程系数		(3 265.92,800.00)
$γ$	空调制冷功率方程系数		(-4 193.28,800.00)
$μ$	空调制运行率方程系数		(0.007 2,0.000 5)
$ν$	空调制运行率方程系数		(-0.009 6,0.000 5)
$C a$	空气等效热容量	℃/kW	(0.48,0.10)
R	房间等效热阻	kW·h/℃	(8.33,0.10)
$f AC max$	压缩机最大频率	Hz	180

Table 1

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References 30

[1]	VISSER L R, SCHUURMANS E M B, ALSKAIF T A, et al. Regulation strategies for mitigating voltage fluctuations induced by photovoltaic solar systems in an urban low voltage grid[J]. International Journal of Electrical Power & Energy Systems, 2021(1):107695.
[2]	ROSINI A, MESTRINER D, LABELLA A, et al. A decentralized approach for frequency and voltage regulation in islanded PV-storage microgrids[J]. Electric Power Systems Research, 2021(193):106974.
[3]	郑晓莹, 陈政轩, 曾琮. 含分布式电源的配电网双层分区调压策略[J]. 电力系统保护与控制, 2021,49(6):90-97.
	ZHENG Xiaoying, CHEN Zhengxuan, ZENG Cong. Double layer zoning voltage regulation strategy of distribution network with distributed generation[J]. Power System Protection and Control, 2021,49(6):90-97.
[4]	苏粟, 胡勇, 王玮, 等. 基于电动汽车无功补偿的配电网电压调控策略[J]. 电力系统自动化, 2017,41(10):72-81.
	SU Su, HU Yong, WANG Wei, et al. Voltage regulation strategy of distribution network based on electric vehicle reactive power compensation[J]. Power System Automation, 2017,41(10):72-81.
[5]	FATHOLLAHI A, KARGAR A, DERAKHSHANDEH S Y. Enhancement of power system transient stability and voltage regulation performance with decentralized synergetic TCSC controller[J]. International Journal of Electrical Power & Energy Systems, 2022(135):107533.
[6]	MA W, WANG W, CHEN Z, et al. Voltage regulation methods for active distribution networks considering the reactive power optimization of substations[J]. Applied Energy, 2021(284):116347.
[7]	刘会强, 慕腾, 邢华栋, 等. 基于解耦自抗扰控制的光伏并网稳定研究及应用[J]. 华电技术, 2021,43(8):11-19.
	LIU Huiqiang, MU Teng, XING Huadong, et al. Research on PV power grid connection stability based on decoupled active disturbance rejection control[J]. Huadian Technology, 2021,43(8):11-19.
[8]	林安妮, 黄永章, 林伟芳, 等. 不同动态无功补偿装置对直流系统故障引发送端暂态过电压的抑制效果对比[J]. 电力电容器与无功补偿, 2020,41(4):116-122.
	LIN Anni, HUANG Yongzhang, LIN Weifang, et al. Comparison of suppression effects of different dynamic reactive power compensation devices on sending terminal transient overvoltage caused by DC system fault[J]. Power Capacitor and Reactive Power Compensation, 2020,41(4):116-122.
[9]	伍惠铖, 王淳, 尹发根, 等. 基于功率控制的含高渗透率户用光伏低压配电网电压控制策略[J]. 电力科学与技术学报, 2020. 35(5):27-35.
	WU Huicheng, WANG Chun, YIN Fagen, et al. Voltage control strategy of household photovoltaic low-voltage distribution network with high permeability based on power control[J]. Journal of Electric Power Science and Technology, 2020,35(5):27-35.
[10]	王文宾, 靳伟, 李洪涛, 等. 考虑光伏集群无功贡献的配电网无功电压优化调节方法[J]. 电力系统保护与控制, 2020,48(20):114-123.
	WANG Wenbin, JIN Wei, LI Hongtao, et al. Optimal regulation method of reactive power and voltage of distribution network considering reactive power contribution of photovoltaic cluster[J]. Power System Protection and Control, 2020,48(20):114-123.
[11]	XIE Qiangqiang, HUI Hongxun, DING Yi, et al. Use of demand response for voltage regulation in power distribution systems with flexible resources[J]. IET Generation, Transmission & Distribution, 2020,14(5):883-892. doi: 10.1049/gtd2.v14.5
[12]	李彬, 杨帆, 赵燕玲, 等. 基于边缘物联代理的综合需求响应关键技术研究[J]. 华电技术, 2021,43(4):56-62.
	LI Bin, YANG Fan, ZHAO Yanling, et al. Research on key technologies for integrated demand response based on edge IoT agent[J]. Huadian Technology, 2021,43(4):56-62.
[13]	HUI Hongxun, DING Yi, Zheng Menglian. Equivalent modeling of inverter air conditioners for providing frequency regulation service[J]. IEEE Transactions on Industrial Electronics, 2019,66(2):1413-1423. doi: 10.1109/TIE.2018.2831192
[14]	FONTENOT H, AYYAGARI K S, DONG B, et al. Buildings-to-distribution-network integration for coordinated voltage regulation and building energy management via distributed resource flexibility[J]. Sustainable Cities and Society, 2021,69:102832. doi: 10.1016/j.scs.2021.102832
[15]	WANG Yuanxia, WU Jianghong, XIE Fang, et al. Survey of residential air conditioning unit usage behavior under south China climatic conditions[C]//2011 International Conference on Electric Information and Control Engineering. 2011: 2711-2714.
[16]	JIANG Tingyu, JU Ping, WANG Chong, et al. Coordinated control of air-conditioning loads for system frequency regulation[J]. IEEE Transactions on Smart Grid, 2021,12(1):548-560. doi: 10.1109/TSG.5165411
[17]	RAJASEKHAR B, PINDORIYA N, TUSHAR W, et al. A survey of computational intelligence techniques for air-conditioners energy management[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2020,4(4):555-570. doi: 10.1109/TETCI
[18]	LU Ning. An Evaluation of the HVAC load potential for providing load balancing service[J]. IEEE Transactions on Smart Grid, 2012,3(3):1263-1270. doi: 10.1109/TSG.2012.2183649
[19]	LUO Fengji, ZHAO Junhua, ZHAO Yangdong, et al. Optimal dispatch of air conditioner loads in Southern China region by direct load control[J]. IEEE Transactions on Smart Grid, 2016,7(1):439-450. doi: 10.1109/TSG.2014.2388233
[20]	吴润基, 王冬骁, 谢昌鸿, 等. 空调负荷参与配电网电压管理的分布式控制方法[J]. 电力系统自动化, 2021,45(6):215-222.
	WU Runji, WANG Dongxiao, XIE Changhong, et al. Distributed control method of air conditioning load participating in distribution network voltage management[J], Power System Automation, 2021,45(6):215-222.
[21]	杨梓俊, 丁小叶, 陆晓, 等. 面向需求响应的变频空调负荷建模与运行控制[J]. 电力系统保护与控制, 2021,49(15):132-140.
	YANG Zijun, DING Xiaoye, LU Xiao, et al. Inverter air conditioner load modeling and operational control for demand response[J]. Power System Protection and control, 2021,49(15):132-140.
[22]	LAKERIDOU M, UCCI M, MARMOT A, et al. The potential of increasing cooling set-points in air-conditioned offices in the UK[J]. Applied Energy, 2012,94:338-348. doi: 10.1016/j.apenergy.2012.01.064
[23]	HUA Y, SHENTU X, XIE Qiangqiang, et al. Voltage/frequency deviations control via distributed battery energy storage system considering state of charge[J]. Applied Sciences, 2019,9(6):1148. doi: 10.3390/app9061148
[24]	TANG Z, HILL D J, LIU T. Fast distributed reactive power control for voltage regulation in distribution networks[J]. IEEE Transactions on Power Systems, 2019,34(1):802-805. doi: 10.1109/TPWRD.2018.2868158
[25]	CHE Y, YANG J, ZHOU Y, et al. Demand response from the control of aggregated inverter air conditioners[J]. IEEE Access, 2019(7):88163-88173.
[26]	MAHDAVI N, BRASLAVSKY J H . Modelling and control of ensembles of variable-speed air conditioning loads for demand response[J]. IEEE Transactions on Smart Grid, 2020,11(5):4249-4260. doi: 10.1109/TSG.5165411
[27]	E M Committee. IEEE recommended practice for monitoring electric power quality : IEEE Std 1159—2009[S].
[28]	WANG S, DU L, FAN X, et al. Deep reinforcement scheduling of energy storage systems for real-time voltage regulation in unbalanced LV networks with high PV penetration[J]. IEEE Transactions on Sustainable Energy, 2021,12(4):2342-2352. doi: 10.1109/TSTE.2021.3092961
[29]	AHMED M, BHATTARAI R, HOSSAIN S J, et al. Coordinated voltage control strategy for voltage regulators and voltage source converters integrated distribution system[J]. IEEE Transactions on Industry Applications, 2019,55(4):4235-4246. doi: 10.1109/TIA.28
[30]	XIE Q, HARA R, KITA H, et al. Coordinated control of OLTC and multi-CEMSs for overvoltage prevention in power distribution system[J]. IEEJ Transactions on Electrical and Electronic Engineering, 2017,12(5):692-701. doi: 10.1002/tee.2017.12.issue-5