Review of modeling and control strategy of thermostatically controlled loads for virtual energy storage system

Author:

Xie Kang,Hui Hongxun,Ding Yi

Abstract

AbstractThe increasing penetration of renewable energy sources (RESs) brings more power generation fluctuations into power systems, which puts forward higher requirement on the regulation capacities for maintaining the power balance between supply and demand. In addition to traditional generators for providing regulation capacities, the progressed information and communication technologies enable an alternative method by controlling flexible loads, especially thermostatically controlled loads (TCLs) for regulation services. This paper investigates the modeling and control strategies of aggregated TCLs as the virtual energy storage system (VESS) for demand response. First, TCLs are modeled as VESSs and compared with the traditional energy storage system (ESS) to analyze their characteristic differences. Then, the control strategies of VESS are investigated in microgrid and main grid aspects, respectively. It shows that VESS control strategies can play important roles in frequency regulation and voltage regulation for power systems’ stability. Finally, future research directions of VESS are prospected, including the schedulable potential evaluation, modeling of TCLs, hierarchical control strategies of VESS considering ESSs and RESs and reliability and fast response in frequency control for VESS.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality

Reference93 articles.

1. Zhang, X. H., Zhao, J. Q., & Chen, X. Y. (2011). Multi-objective unit commitment modeling and optimization for energy-saving and emission reduction in wind power integrated system. Power System Protection and Control, 39(17), 33–39.

2. Wang, M., Mu, Y., Jia, H., Wu, J., Yu, X., & Qi, Y. (2017). Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles. Applied Energy, 185, 1673–1683.

3. Liao, Z., Chen, S., & Lin, C. (2018). Distribution network voltage state assessment with distributed generation based on improved probabilistic power flow method. In DEStech Transactions on Environment, Energy and Earth Sciences, (appeec).

4. China Reform Daily. The accumulative installed scale of hydropower, wind power and photovoltaic power in China ranks first in the world in 2018 [EB/OL]. http://www.cspplaza.com/article-15572-1.html, 2019-07-04.

5. Sina Southern Energy. Construction of renewable energy power generation exceeding 1/4 peak shaving power supply in 2018 is accelerated [EB/OL]. http://gd.sina.cn/energy/2019-06-28/detail-ihytcitk8214889.d.html?vt=4&wm=2256_3664&cid=183609, 2019-06-28.

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