Sample-based Event-triggered Control of Thermostatically Controlled Loads for Demand Side Management*

Chenguan Xu, Jing Xu, Kui Wang,Liangliang Zhu,Meng Yu,Cheng Jiang,Yao Rao

2022 IEEE International Conference on Cyborg and Bionic Systems (CBS)(2023)

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Abstract
In this paper, a distributed sample-based event-triggered method is proposed to coordinate the thermostatically controlled loads (TCLs) such that the photovoltaic and load variations can be alleviated from demand side. Firstly, a sample-based event-triggered control scheme, where each TCL communicates with its neighbor TCLs only when the event-triggered condition is satisfied, and thus reducing redundant communication to save the limited communication network resources. Then, an initial power state updating scheme of each TCL is designed based on the output of PVs and loads such that the supply and demand balance can be satisfied from demand side. Under the designed control scheme, the resident’s comfort temperature range requirement can be met. Furthermore, the challenge problem Zeno behavior that often occurs in event-triggered control is automatically excluded. Finally, by employing Lyapunov stability theory, the sufficient criteria is rigidly derived.
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Key words
Demand side management,distributed control,event-triggered communication,thermostatically controlled load- s.
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