Application of emergency control of central air conditioning in safe and stable operation of large power grid

Li, Meng; Guo, Qiwei; Zhang, Guohui; Su, Jianjun

doi:10.1049/joe.2018.8618

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…Therefore, the variable air volume automatic control system of central air conditioning based on intelligent control algorithm can better adapt to the complex and changeable indoor environment and has an excellent energy-saving effect. Compared with the control system of central air conditioning proposed by Kosaka et al and Liu et al, the automatic control system of the variable air volume of central air conditioning based on the intelligent control algorithm in this research has better energy saving performance, better control effect, and can adapt to the complex and changeable environment [10][11][12][13][14][15][16].…”

Section: Discussionmentioning

confidence: 99%

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

2020

IJOMAM

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Section: Discussionmentioning

confidence: 99%

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

2020

IJOMAM

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“…Recently, with the rapid development of the social economy and technology, the demand for a safe and stable power supply has generated higher requirements [1]. The relevant power sector has also been constantly improving its own ability to meet the increasing needs of people, gradually recognizing the importance of safety in power production [2,3].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

Luo¹,

Li²,

Yang³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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The emergence of power dispatching automation systems has greatly improved the efficiency of power industry operations and promoted the rapid development of the power industry. However, with the convergence and increase in power data flow, the data dispatching network and the main station dispatching automation system have encountered substantial pressure. Therefore, the method of online data resolution and rapid problem identification of dispatching automation systems has been widely investigated. In this paper, we perform a comprehensive review of automated dispatching of massive dispatching data from the perspective of intelligent identification, discuss unresolved research issues and outline future directions in this area. In particular, we divide intelligent identification over power big data into data acquisition and storage processes, anomaly detection and fault discrimination processes, and fault tracing for dispatching operations during communication. A detailed survey of the solutions to the challenges in intelligent identification over power big data is then presented. Moreover, opportunities and future directions are outlined.

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“…By resetting the temperature of each AC, the operation state was adjusted temporarily without affecting customers satisfaction. Reference [20] put forward an emergency control strategy of central AC, which responded to control signal of safety and stability control or frequency deviation signal, and ensures significant power shortage under the power grid by the end of the feasibility of keeping safe, stable operation. Similarly, the control of central AC loads was applied to respond to the fault on the HVDC transmission line in [21].…”

Section: Introductionmentioning

confidence: 99%

Research on central air‐conditioning control strategy of intelligent building group based on DFT

Yang

et al. 2022

IET Generation Trans & Dist

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To construct a multi‐energy complementary system for intelligent building group, a direct control strategy for central air conditioning based on discrete Fourier transform is proposed. This strategy can reduce the deviation between actual load and transaction results while absorbing photovoltaic (PV) power generation and improving the enterprise economy in the power market environment. The strategy uses the discrete Fourier transform (DFT) to find the scheduling demand of the central air‐conditioning (AC) group and realizes the scheduling demand by changing the temperature setting value. Also, the strategy can assess AC status in real‐time, which combines with ultra‐short‐term load forecasting to adjust future purchase planned values. The simulation results show that the strategy can realize a real‐time load track with the power purchase plan while absorbing PV power generation with low action times and temperature changes, which improves the absorption of distributed PV power generation and reduces the assessment bias.

show abstract

Application of emergency control of central air conditioning in safe and stable operation of large power grid

Cited by 5 publications

References 11 publications

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

Design of Intelligent Algorithm Based Air Volume Control System for Central Air Conditioning

Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

Research on central air‐conditioning control strategy of intelligent building group based on DFT

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