An adaptive decentralized regulation strategy for the cluster with massive inverter air conditionings

Dong, Lianxin; Wu, Qing; Hong, Juhua; Wang, Zhihua; Fan, Shangchun; He, Guangyu

doi:10.1016/j.apenergy.2022.120304

Cited by 14 publications

(2 citation statements)

References 53 publications

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“…Air conditioning systems have significant potential to reduce the cost of carbon source energy and lower overall energy costs. Additionally the aggregation and coordinated control of air conditioning systems not only quickly alleviate peak load pressures on the power grid (Xie et al, 2022) but also provide various load transfer and adjustment assistance methods, contributing to the stable and efficient operation of the grid (Dong et al, 2023). Against the backdrop of the "dual carbon goals" aiming to reduce carbon emissions in the power system while ensuring its efficiency.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal scheduling considering low-carbon operation of air conditioner load with dynamic carbon emission factors

Shen,

Li,

Yin

et al. 2024

Front. Energy Res.

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As global temperatures rise and climate change becomes more severely. People realize that air conditioning systems as a controllable resource and play an increasingly important role in reducing carbon emissions. In the past, the operation optimization of air conditioning systems was mainly oriented to user comfort and electricity costs ignoring the long-term impact on the environment. This article aims to establish a multi-objective model of air-conditioning load to ensure user temperature comfort performance and reduce the total cost (i.e., electricity cost and carbon emission cost) simultaneously. Multi Sand Cat Swarm Optimization (MSCSO) algorithm combined with gray target decision-making (GTD) is used to explore optimal solution. Meanwhile four competitive strategies are applied to validate the effectiveness of the proposed method, i.e., genetic algorithm (GA), MSCSO-comfort objective, MSCSO-total electricity cost objective and unoptimization. The simulation results show that the MSCSO-GTD based objective method can significantly reduce total costs while taking into account appropriate indoor temperature comfort.

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Section: Introductionmentioning

confidence: 99%

Multi-objective optimal scheduling considering low-carbon operation of air conditioner load with dynamic carbon emission factors

Shen,

Li,

Yin

et al. 2024

Front. Energy Res.

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show abstract

“…In contrast, the decentralized control strategy only needs to obtain the local information of TCLs when calculating control commands without additional communication, which can effectively reduce the negative impact of communication delay (Gong et al, 2022). Therefore, when controlling large-scale TCLs, it may be more appropriate to choose decentralized control strategies (Dong et al, 2023). From a game-theoretic point of view, Ding et al (2021) investigated the possibility of TCLs in assisting the power system in smoothing the tie-line power.…”

mentioning

confidence: 99%

Decentralized control strategy of thermostatically controlled loads considering the energy efficiency ratio and measurement error correction

Meng,

Pan,

Zhou

et al. 2024

Front. Energy Res.

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The elimination of traditional thermal generators and the increase of renewable energy source access reduced the inertia of the power system, and thermostatically controlled loads have the potential to provide ancillary services to the power system. This paper introduces a decentralized control strategy for thermostatically controlled loads (TCLs), which focuses on assisting large-scale TCLs in providing frequency support to power systems while considering energy efficiency ratio and measurement error correction. Initially, the nonlinear relationship between heat flow and TCLs’ power is modeled using a polynomial relationship, and the coefficients are determined through a data-driven method to enhance accuracy in TCLs modeling and assess their regulation potential precisely. Subsequently, a decentralized control strategy tailored for power system frequency regulation is developed. To account for measurement errors in TCLs controllers, a measurement error back-correction method is proposed. Simulation examples demonstrate the effectiveness of the proposed control strategy in achieving accurate modeling and control of TCLs and reducing power system frequency fluctuations.

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Air thermal management platform assessment in centralized and decentralized air-conditioning systems

Salman,

Abdulkarim,

Ali

et al. 2024

J Therm Anal Calorim

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An adaptive decentralized regulation strategy for the cluster with massive inverter air conditionings

Cited by 14 publications

References 53 publications

Multi-objective optimal scheduling considering low-carbon operation of air conditioner load with dynamic carbon emission factors

Multi-objective optimal scheduling considering low-carbon operation of air conditioner load with dynamic carbon emission factors

Decentralized control strategy of thermostatically controlled loads considering the energy efficiency ratio and measurement error correction

Air thermal management platform assessment in centralized and decentralized air-conditioning systems

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