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Journal articles on the topic 'Electronic load control'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Yan, Xue Fei, Chang Qing Zhu, Yue Fei Zhao, and Qiao Jing An. "Research on AC Electronic Load." Applied Mechanics and Materials 556-562 (May 2014): 1811–13. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1811.

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The AC electronic load circuit is studied, PWM converter is used in this circuit in order to achieve the simulation function of load characteristics.The methods of how to get the command current mathematical model and simulation module is given which is based of the Matlab/Simulink platform, Hysteresis control mode is used in order to get fast and stable actual current and then carried on the simulation of the proposed electronic load. The simulation results show that the proposed algorithm and the control instruction current method and the effectiveness of the current control method, realized the simulation of ac electronic load.

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2

Li, Yan Jie, Tian Yu Cui, Ji Hai Jiang, and Cai Xin Yu. "The Principle of a Novel Load Sensing Hydraulic System and Design of the Electronic Control System." Applied Mechanics and Materials 233 (November 2012): 119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.233.119.

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Abstract. Based on the load-sensing control principle, a novel type of electronic load sensing hydraulic system was developed. Taking a two-loads system for example, the design and analysis of the novel hydraulic system principle was completed and an electronic control system was accomplished using TTC60 controller. A preliminary experimental study was completed. The experimental studies show that the new system can not only achieve the traditional load-sensing control function, but also improve the level of electronic control system.

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3

Jeong, In Wha. "DC-Link Capacitor Voltage Balancing Control of a Five-Level Regenerative AC Electronic Load Using One-Cycle Control." Energies 14, no. 19 (September 24, 2021): 6101. http://dx.doi.org/10.3390/en14196101.

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High voltage electric power equipment requires rigorous regulation testing to specific standards which ensure proper and safe operation in the grid. Manufacturers conduct these tests in order to prove standard compliance and product liability. Variable linear or nonlinear loads are necessary for testing medium voltage (MV) high power AC power converters. Generally, those AC power converters or power supplies require performance validation, burn-in and/or lifetime testing under different load conditions, defined by the end-user or standards for the given applications. For flexible and efficient MV verification testing, this paper presents a five-level multilevel converter-based MV regenerative AC electronic load with one-cycle control (OCC), which is based on five-level diode-clamped multilevel converters with back-to-back structure and can emulate any impedance load. In this paper, especially the dc-link capacitor voltage balance of the proposed multilevel MV regenerative AC load is deeply analyzed. Simulation and experimental results are presented to verify the dc-link voltage balance performance of the proposed multilevel MV regenerative AC electronic load.

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4

Godovnikov, Evgeniy Aleksandrovich, and Ruslan Talgatovich Usmanov. "DEVELOPMENT OF SCADA-SYSTEM FOR ELECTRONIC LOAD CONTROL." Yugra State University Bulletin 13, no. 3 (September 15, 2017): 60–63. http://dx.doi.org/10.17816/byusu201713360-63.

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This article describes an automated electronic load control system. The peculiarity of this system is the unifi- cation of instrumental means intended for scientific research with the technologies of industrial automation.

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5

Banaś, Michal. "Control of the Hydrostatic Load Unit with the Electronic Control System." Solid State Phenomena 199 (March 2013): 657–60. http://dx.doi.org/10.4028/www.scientific.net/ssp.199.657.

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The paper presents a hydrostatic load unit, its design and the operation principle. The load unit has been integrated with an electronic control system. The components of the control system as well as its advantages have been discussed. The benefits of the integration have been illustrated with the outline of work programs for the microcontroller.

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6

Upadhyay, Saurabh, Santanu Mishra, and Avinash Joshi. "A Wide Bandwidth Electronic Load." IEEE Transactions on Industrial Electronics 59, no. 2 (February 2012): 733–39. http://dx.doi.org/10.1109/tie.2011.2148680.

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7

Henderson, D. S., and W. Pearson. "An Improved Control Algorithm for an Electronic Load Governor." Measurement and Control 30, no. 10 (December 1997): 293–96. http://dx.doi.org/10.1177/002029409703001001.

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8

Feliachi, A. "Optimal Decentralized Load Frequency Control." IEEE Power Engineering Review PER-7, no. 5 (May 1987): 44–45. http://dx.doi.org/10.1109/mper.1987.5527250.

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9

He, Shi Chao, and Feng Kong. "The Application and Research on Electronic Load." Advanced Materials Research 566 (September 2012): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amr.566.227.

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At present，for the application of the fuzzy PID controller is analyzed in electronic load，this paper according to the shortcomings of the controller improved fuzzy neural PID controller, through the BP neural network to realize fuzzy function, the results shows that this method is feasible and efficient. Finally the method was simulated on MATLAB, the control effect of overshoot and time delay on the application of improved fuzzy neural PID control was confirmed better than the former methods.

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10

Heffner, G. C., and D. A. Kaufman. "Distribution Substation Load Impacts of Residential Air Conditioner Load Control." IEEE Power Engineering Review PER-5, no. 7 (July 1985): 22–23. http://dx.doi.org/10.1109/mper.1985.5528448.

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11

Rostoni, John W., and Mark T. Ryan. "Group Load Curtailment Using an Integrated Communications/Load Control Network." IEEE Power Engineering Review PER-6, no. 11 (November 1986): 51. http://dx.doi.org/10.1109/mper.1986.5527496.

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12

Ayop, Razman, Shahrin Md Ayob, Chee Wei Tan, Tole Sutikno, and Mohd Junaidi Abdul Aziz. "Comparison of electronic load using linear regulator and boost converter." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (September 1, 2021): 1720. http://dx.doi.org/10.11591/ijpeds.v12.i3.pp1720-1728.

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<span lang="EN-US">Direct current (DC) electronic load is a useful equipment for testing the electrical system. It can emulate various load at a high rating. The electronic load requires a power converter to operate and a linear regulator is a common option. Nonetheless, it is hard to control due to the temperature variation. This paper proposed a DC electronic load using the boost converter. The proposed electronic load operates in the continuous current mode and control using the integral controller. The electronic load using the boost converter is compared with the electronic load using the linear regulator. The results show that the boost converter able to operate as an electronic load with an error lower than 0.5% and response time lower than 13 ms.</span>

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13

Irfan, Muhammad, Machmud Effendy, Nur Alif, Lailis Syafaah, Ilham Pakaya, and Amrul Faruq. "Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (September 1, 2017): 1176. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1176-1183.

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Generally, Electronic Load Control (ELC) used in micro hydro power plant (MHPP) to controls the voltage between consumer load and a dummy load, still detects one parameter voltage or frequency generator only. Whereas in reality, any changes in the load on consumers, generator voltage and frequency also changed. When the consumer load down the electric current will be supplied to the dummy load, amounting to decrease in consumer load. When there is a transfer load, there will be distortion voltage and frequency, thus a special methods to reduce distortions by speeding up the process of transferring the electric load is needed. The proposed of this study is using fuzzy logic algorithm.To realize such a system, a comparison tool model of load control digital electronic fuzzy logic controller (FLC) and Proportional Integrator (PI) is required. This modeling using matlab program to simulate, the simulation result shows that the ELC based on fuzzy logic controller is better than conventional PI control, it seen from fast response to steady state condition.

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14

Hassan, M. F., A. A. Abouelsoud, and H. M. Soliman. "Constrained Load-frequency Control." Electric Power Components and Systems 36, no. 3 (February 21, 2008): 266–79. http://dx.doi.org/10.1080/15325000701603926.

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15

Shipilevsky, G. B., and A. S. Gorbachev. "Selection of Method for Electronic Gear Control." Izvestiya MGTU MAMI 3, no. 1 (January 10, 2009): 85–90. http://dx.doi.org/10.17816/2074-0530-69914.

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The article examines solution of the task of gear control in tractor transmissions. There are three main layouts of friction clutch installation within tractor transmission. For each one the mathematical formulation is given. The authors suggest possible criteria for selection of gear control method under load.

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16

Jiang, Gui Xiu, and Shu Jie. "The Application of BP Algorithm in Electronic Load Current Control." Advanced Materials Research 846-847 (November 2013): 185–89. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.185.

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The current control method based on double hysteresis current control and space vector is taken, so that the current tracing control of three phase VSR can realized. The predictive current control based on BP algorithm is presented, and the drawback that there is beat during the control of SVPWM based on hysteresis can be made up, which has serious influence on the current tracing when the difference value changed violently. Without the rise of sampling frequency, the reference offset current of next time is predicted using of historical current. The simulation results show that the predictive current control based on BP algorithm is correct and valid. The deadbeat control of SVPWM based on hysteresis is realized, less harmonic current and better tracing are got.

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17

Szromba, Andrzej. "Shunt power electronic buffer as active filter and energy flow controller." Archives of Electrical Engineering 62, no. 1 (March 1, 2013): 55–75. http://dx.doi.org/10.2478/aee-2013-0005.

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Abstract The considered shunt active power filter can be controlled not only to compensate non-active current in the supply source, but additionally to optimize energy flow between the source and the load. In such a case the filter shapes the source current to be active and simultaneously regulates its magnitude. The presented filter/buffer can operate properly even when the load contains AC or DC variable energy source of any characteristic. The device can optimize energy flow for a single load, but also for a group of loads as well. The distinctive feature of the employed control method of the filter/buffer is that certain changes of energy stored in the device are utilized as the source of information concerning the active current of the load. This control method is very flexible and can be implemented to nearly all structures of active filters, for DC, single- and multiphase circuits.

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18

Okada, K., G. Shirai, and R. Yokoyama. "Load frequency control incorporating time delay." Proceedings of the IEEE 75, no. 7 (1987): 968–69. http://dx.doi.org/10.1109/proc.1987.13834.

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19

Wang, Ying, Gang Ma, Yixi Chen, Xuehong Wu, and Mei Zheng. "A Load control method with reactive power control capability and enhanced flexibility based on smart load." IEEJ Transactions on Electrical and Electronic Engineering 15, no. 1 (November 14, 2019): 78–90. http://dx.doi.org/10.1002/tee.23029.

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20

Feliachi, A. "Optimal Decentralized Load Frequency Control." IEEE Transactions on Power Systems 2, no. 2 (1987): 379–85. http://dx.doi.org/10.1109/tpwrs.1987.4335137.

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21

Aboelsaud, Raef, A. Ibrahim, and Alexander G. Garganeev. "Review of three-phase inverters control for unbalanced load compensation." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 1 (March 1, 2019): 242. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp242-255.

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<span>In the microgrid systems, three-phase inverter becomes the main power electronic interface for renewable distributed energy resources (DERs), especially for the islanded microgrids in which the power quality is easily affected by unbalanced and nonlinear loads, this is due to the fact that the voltage and frequency of the microgrid are not supported by the main power grid but determined only by the inverters. Therefore, the compensation of the load unbalances and harmonics in autonomous microgrid inverters are getting more attention in power quality research areas. The main purpose of this paper is to represent an overview of the control strategies of various inverters for unbalanced load compensation</span>

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22

McIntyre, Julia M., Larry Ciecior, Alan Kaspar, and Damon Castrop. "Distributed Intelligence in Load Control: Results of an Experiment Using Demand Limiting Devices for Residential Load Control." IEEE Power Engineering Review PER-5, no. 5 (May 1985): 41–42. http://dx.doi.org/10.1109/mper.1985.5526579.

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23

Subhash, Bochu, and Veramalla Rajagopal. "EPLL Control Technique Optimum Controller Gains to Control Voltage and Frequency in Standalone Wind Energy Conversion System." European Journal of Electrical Engineering 24, no. 1 (February 28, 2022): 55–65. http://dx.doi.org/10.18280/ejee.240108.

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This study describes how to regulate the frequency and terminal voltage of a freestanding wind energy conversion system using an Enhanced Phase Locked Loop (EPLL)-based strategy to supply power to varied loads regardless of wind speed. In a standalone wind turbine energy conversion system, the EPLL control scheme extracts the reference source currents (SWECS). The control algorithm employs two proportional-integral (PI) controllers to create the active and reactive power components of the consumers' load currents, estimate reference source currents, and connect the zigzag transformer to PCC with VSC for neutral current compensation. To obtain optimal PI controller gains and most-suited settings to apply to SWECS, optimization approaches are used. The control algorithm is the most significant aspect of the system, and the speed with which it calculates, evaluates, and guesstimates determines the generation of source currents based on the algorithm's ideal controller PI gains. By properly estimating source currents, the EPLL control method improves dynamics and power quality issues, and the optimization technique is employed to acquire the gains of PI controllers. The proposed system employs the EPLL algorithm on a three-phase, four-wire system with changing loads to achieve ideal total harmonic distortion of source currents and voltages on the PCC, as defined by IEEE-519 standards. A battery energy storage device coupled to the VSC dc link keeps the load's necessary power constant. If the generator output exceeds the consumer demand, the excess power is delivered to BESS for temporary storage. When consumer demand exceeds generated power, a BESS delivers deficit power to the load, which adjusts and the frequency under various load conditions. The suggested system simulated results were tested with 3-phase 4-wire for harmonics reduction, load balancing, neutral wire current compensation, frequency and voltage control using MATLAB / Simulink.

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24

Zhang, Tao, Qiang Hao, Zheng Zheng, and Chuang Lu. "An Electric Spring Control Strategy Based on Finite Control Set-Model Predictive Control." Journal Européen des Systèmes Automatisés 53, no. 4 (September 30, 2020): 461–68. http://dx.doi.org/10.18280/jesa.530403.

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As a novel voltage control device, electric spring (ES) can effectively suppress the voltage fluctuations across critical loads (CLs), and solve the various problems with electrical quality induced by the grid access of renewable energy resources (RES). However, the traditional controllers for the ES system can no longer meet the control requirements, as the environment is complicated by the growing number of load-side nonlinear loads and uncertain disturbances. To solve the problem, this paper proposes a control system based on finite control set-model predictive control (FCS-MPC), and applies it to the ES. Firstly, a load-side circuit prediction model was established and analyzed. Next, a control system was designed based on FCS-MPC. Finally, the proposed system was proved feasible and effective through MATLAB/Simulink simulation and dSPACE physical experiment. The results show that the proposed FCS-MPC system can directly control the ES, easily handle system constraints, achieve robust dynamic and static performance, eliminating the need for pulse width modulation (PWM).

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25

Marwali, M. N., J. W. Jung, and A. Keyhani. "Control of Distributed Generation Systems— Part II: Load Sharing Control." IEEE Transactions on Power Electronics 19, no. 6 (November 2004): 1551–61. http://dx.doi.org/10.1109/tpel.2004.836634.

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26

Henderson, D. "An advanced electronic load governor for control of micro hydroelectric generation." IEEE Transactions on Energy Conversion 13, no. 3 (1998): 300–304. http://dx.doi.org/10.1109/60.707611.

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27

Rostoni, John W., and Mark T. Ryan. "Group Load Curtailment Using an Integrated Communications/Load Control Network." IEEE Transactions on Power Systems 1, no. 4 (1986): 233–37. http://dx.doi.org/10.1109/tpwrs.1986.4335051.

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28

YAMASHITA, K., and H. MIYAGI. "LOAD FREQUENCY SELF-TUNING CONTROL USING A GOVERNOR AND VOLTAGE CONTROLS." Electric Machines & Power Systems 17, no. 1 (January 1989): 43–52. http://dx.doi.org/10.1080/07313568908909408.

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29

Becker, D. L. "Load Management Direct Control: Fact or Simulation." IEEE Power Engineering Review PER-6, no. 2 (February 1986): 33–34. http://dx.doi.org/10.1109/mper.1986.5528159.

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30

Cohen, Arthur I., James W. Patmore, David H. Oglevee, Richard W. Berman, Lee H. Ayers, and Jerry F. Howard. "An Integrated System for Residential Load Control." IEEE Power Engineering Review PER-7, no. 8 (August 1987): 43–44. http://dx.doi.org/10.1109/mper.1987.5527053.

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31

Yang, H. T., and K. Y. Huang. "Direct load control using fuzzy dynamic programming." IEE Proceedings - Generation, Transmission and Distribution 146, no. 3 (1999): 294. http://dx.doi.org/10.1049/ip-gtd:19990317.

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32

YAMASHITA, K., and H. MIYAGI. "LQI-TYPE LOAD-FREQUENCY CONTROL WITH FIRST-ORDER SAMPLING HOLDER WHICH IMPROVES CONTROL PERFORMANCE AGAINST RAMPWISE LOAD DISTURBANCES." Electric Machines & Power Systems 16, no. 3 (January 1989): 183–92. http://dx.doi.org/10.1080/07313568908909374.

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33

Heffner, G., and D. Kaufman. "Distribution Substation Load Impacts of Residential Air Conditioner Load Control." IEEE Transactions on Power Apparatus and Systems PAS-104, no. 7 (July 1985): 1602–8. http://dx.doi.org/10.1109/tpas.1985.319188.

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34

Vukadinović, Dinko, and Mateo Bašić. "A Stand-Alone Induction Generator with Improved Stator Flux Oriented Control." Journal of Electrical Engineering 62, no. 2 (March 1, 2011): 65–72. http://dx.doi.org/10.2478/v10187-011-0011-5.

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A Stand-Alone Induction Generator with Improved Stator Flux Oriented ControlThis paper presents an improved stator flux oriented (SFO) control system for a stand-alone induction generator. The induction generator supplies a variable resistive dc load. In order to provide an essentially constant terminal voltage, the product of the rotor speed and the stator flux reference should remain constant. However, in this case the control system is not able to function properly at different loads and dc-link voltages. In this paper, we introduce a new algorithm in which this product is constant at certain dc-load and dc-link voltage references. The dependence of the stator flux reference on the dc load and dc voltage reference is mapped using an artificial neural network (ANN). We also present an analysis of the efficiency of the SFO control system, as well as its performance during transients, over a wide range of both dc-link voltage references and loads. The validity of the proposed approach is verified by realistic simulation in a Matlab-Simulink environment.

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35

Liu, Jianbin, Haibo Xie, Liang Hu, Huayong Yang, and Xin Fu. "Realization of direct flow control with load pressure compensation on a load control valve applied in overrunning load hydraulic systems." Flow Measurement and Instrumentation 53 (March 2017): 261–68. http://dx.doi.org/10.1016/j.flowmeasinst.2016.07.004.

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36

Shiroei, M., and A. M. Ranjbar. "Supervisory predictive control of power system load frequency control." International Journal of Electrical Power & Energy Systems 61 (October 2014): 70–80. http://dx.doi.org/10.1016/j.ijepes.2014.03.020.

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37

Bodson, Marc, and Susan A. Frost. "Load Balancing in Control Allocation." Journal of Guidance, Control, and Dynamics 34, no. 2 (March 2011): 380–87. http://dx.doi.org/10.2514/1.51952.

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38

Tian, Jie, Chengxiong Mao, Jiawei Yang, Dan Wang, Jiming Lu, Jun Qiu, and Yuping Duan. "Control of Electronic Power Transformer with Star Configuration under Unbalanced Load Conditions." Electric Power Components and Systems 42, no. 1 (December 10, 2013): 70–82. http://dx.doi.org/10.1080/15325008.2013.843104.

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39

Lu, Wen Chang, Pei Ying Lu, Chen Long, and Ruo Chen Wang. "The Design and Simulation of Vehicle Electronic Control Network Based on CAN/LIN Bus." Advanced Materials Research 403-408 (November 2011): 3044–48. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3044.

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A CAN/LIN bus-based distributed vehicle electronic control system is designed and nodes of the control system are defined in this paper. The simulation of system designed is completed by Vector CANoe, which gives the results of bus load, peak load and the delayed time that transmitted on CAN bus. The sequence of message scheduling and the interval of message transmitted on LIN bus are also listed to show the reliability of CAN/LIN bus-based distributed vehicle electronic control system.

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40

Geng, Junyi, and Jack W. Langelaan. "Cooperative Transport of a Slung Load Using Load-Leading Control." Journal of Guidance, Control, and Dynamics 43, no. 7 (July 2020): 1313–31. http://dx.doi.org/10.2514/1.g004680.

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41

Tindemans, Simon H., and Goran Strbac. "Low-Complexity Decentralized Algorithm for Aggregate Load Control of Thermostatic Loads." IEEE Transactions on Industry Applications 57, no. 1 (January 2021): 987–98. http://dx.doi.org/10.1109/tia.2020.3034889.

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42

Yunfeng, Lin, Fu Lijun, and Xiao Xiongbo. "A flexible virtual inertial control algorithm for ship with propulsion load and pulse load." IET Electric Power Applications 15, no. 4 (February 21, 2021): 453–62. http://dx.doi.org/10.1049/elp2.12039.

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43

LUO, ZHONGHUI, RATNESH KUMAR, JOSEPH SOTTILE, and JON C. YINGLING. "AN MILP FORMULATION FOR LOAD-SIDE DEMAND CONTROL." Electric Machines & Power Systems 26, no. 9 (November 1998): 935–49. http://dx.doi.org/10.1080/07313569808955868.

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44

Gross, G., and J. W. Lee. "Analysis of Load Frequency Control Performance Assessment Criteria." IEEE Power Engineering Review 21, no. 8 (August 2001): 59. http://dx.doi.org/10.1109/mper.2001.4311555.

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45

Liu, F., Y. H. Song, J. Ma, S. Mei, and Q. Lu. "Optimal load-frequency control in restructured power systems." IEE Proceedings - Generation, Transmission and Distribution 150, no. 1 (2003): 87. http://dx.doi.org/10.1049/ip-gtd:20020683.

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46

Rubaai, A. "Self-tuning load frequency control: multilevel adaptive approach." IEE Proceedings - Generation, Transmission and Distribution 141, no. 4 (1994): 285. http://dx.doi.org/10.1049/ip-gtd:19949964.

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47

Kawai, Hiroaki, Zhenbin Zhang, and Ralph Kennel. "Finite Control Set Model‐Predictive Speed Control with a Load Torque Compensation." IEEJ Transactions on Electrical and Electronic Engineering 15, no. 10 (September 2, 2020): 1530–40. http://dx.doi.org/10.1002/tee.23223.

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48

Avatchanakorn, Vichit, Akihiko Ueda, Yasuyuki Gotoh, and Yoshibumi Mizutani. "Load frequency control using power demand estimation and fuzzy control." Electrical Engineering in Japan 111, no. 6 (1991): 47–57. http://dx.doi.org/10.1002/eej.4391110606.

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49

Hakim, Ermanu Azizul, Rahayu Pandunengsih, Diding Suhardi, and Novendra Setyawan. "Kontrol Tegangan Self-Excited Induction Generator dengan Electronic Load Controller Terkontrol PID-GA." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 10, no. 1 (April 30, 2020): 41. http://dx.doi.org/10.22146/ijeis.54197.

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Induction generator operation requires reactive power with external contactor. One of induction generator types, SEIG reactive power supplied by capacitor bank connected to generator terminal. SEIG is alternative energy conversion in small area or rural, SEIG has the main disadvantage of poor voltage regulation under various load conditions. ELC combine PID control which is optimized using Genetic Algorithm in order to maintain the stability of the voltage when the load varies. The result shows the SEIG system using ELC with PID-GA control worked to stable voltage in accordance with the standard with voltage tolerance of 10% when load change. The addition of GA to determine the value of the PID parameter where response system better with difference overshoot value start is 70.48%, when decrease load in 5 second by 44.3% and in the 10 second when increase load of 2 kW is 5.96% compared system with PID control without GA optimization.

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50

Li, Jun, Bo Geng, Zhixian Lin, Min Chen, Liangyou Shao, Yanmin Zhou, and Yuqing Bao. "Multiagent Consensus Control Strategy considering Whole-Process Thermodynamic Characteristics of Air Conditioning Process." Journal of Electrical and Computer Engineering 2021 (July 28, 2021): 1–10. http://dx.doi.org/10.1155/2021/5543298.

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Due to the distributed and decentralized characteristics of air conditioning load, the distributed control strategy has advantages for the air conditioning load to participate in the demand response. However, existing approaches focus on the dynamic control performance with very few considerations on the cost. To fill this gap, this paper proposes a multiagent consensus control method considering the whole-process response cost of air conditioning. Based on the thermodynamic characteristics of air conditioning load in the load reduction process and recovery process, the cost function curve of air conditioning load is established. Then, the multiagent consensus control strategy is adopted to send the power adjustment information to each air conditioner to realize the optimal control of the air conditioning load. The simulation results verify that the proposed method can take into account the whole-process response cost of air conditioning loads and result in smaller control cost than existing methods.

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