Temperature Control Load Demand Response Control Strategy Considering User's Willingness Difference

Li, Zhenguo; Song, Ziwei; Cui, Yifeng; Jia, Qingquan; Jeong, Seok–Kwon

doi:10.1109/tia.2023.3247544

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The most commonly used modelling method for an individual FFAC load is the equivalent thermal parameter (ETP) model, which utilizes the centralized parameter method to establish the relationship between the power consumption of the FFAC load and environmental temperature, energy efficiency ratio, and time [23]. The ETP model can be classified into two types based on complexity: the third‐order ETP model and the first‐order ETP model.…”

Section: Modelling Of Ac Loadsmentioning

confidence: 99%

“…In [24], a hierarchical control strategy is designed for AC loads, with an economic optimization among multiple LA. The results from [23,24] indicate that their strategy effectively manages peak loads and reduces costs. But, when the distribution system operator (DSO) procures peak regulation services from the LA, the DSO imposes certain restrictions on the LA, such as duration, response capacity [25].…”

Section: Introductionmentioning

confidence: 99%

“…However, in practical situations, users must continually monitor real‐time prices, which limits the application. In [23], a control strategy for thermostatically controlled loads is proposed, considering user preference variations. In [24], a hierarchical control strategy is designed for AC loads, with an economic optimization among multiple LA.…”

Section: Introductionmentioning

confidence: 99%

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A hierarchical coordinated control strategy of air‐conditioning loads for peak regulation service

Wang,

Lin,

Wang

et al. 2024

IET Generation Trans & Dist

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The increased penetration of renewable energy sources and the intensification of peak‐valley differences present challenges to peak regulation in the power system. Fulfilling the peak regulation needs of the power system solely through generation‐side resources proves to be challenging. Large‐scale fixed frequency air‐conditioning (FFAC) and inverter air‐conditioning (IAC) are high‐quality flexible load resources. This paper proposes a hierarchical coordinated control strategy of air‐conditioning (AC) loads for peak regulation service. In the first layer of the control strategy, the load aggregator collaborates with multiple AC groups to ensure the completion of peak regulation tasks with specific power‐constrained requirements. In the second layer of the control strategy, the control centre of each group optimizes the temperature adjustment values for each AC load, aiming to reduce incentive costs. Finally, the proposed method is validated through simulations, demonstrating its capability to achieve coordinated control of FFAC and IAC loads under various power‐constrained requirements. Furthermore, the simulation demonstrates the effectiveness of the control strategy in reducing user discomfort and the AC's incentive costs.

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Section: Modelling Of Ac Loadsmentioning

confidence: 99%