On the Use of Thermostatically Controlled Loads for Frequency Control

Parshin, Maksim; Majidi, Maryam; Ibanez, Federico Martin; Pozo, David

doi:10.1109/ptc.2019.8810985

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…In modern building systems, a thermostat device is used as a sensor in VSHP to maintain indoor temperature at a certain level [56]. The complete block diagram for HVAC is shown in Figure 5.…”

Section: Thermostat Modelmentioning

confidence: 99%

Integrating Demand Response for Enhanced Load Frequency Control in Micro-Grids with Heating, Ventilation and Air-Conditioning Systems

et al. 2023

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Heating, ventilation and air-conditioning (HVAC) systems constitute the majority of the demands in modern power systems for aggregated buildings. However, HVAC integrated with renewable energy sources (RES) face notable issues, such as uneven demand–supply balance, frequency oscillation and significant drop in system inertia owing to sudden disturbances in nearby generation for a longer period. To overcome these challenges, load frequency control (LFC) is implemented to regulate the frequency, maintain zero steady-state error between the generation and demand, reduce frequency deviations and balance the active power flow with neighboring control areas at a specified value. In view of this, the present paper investigates LFC with a proposed centralized single control strategy for a micro-grid (µG) system consisting of RESs and critical load of a HVAC system. The proposed control strategy includes a newly developed cascaded two-degree-of-freedom (2-DOF) proportional integral (PI) and proportional derivative filter (PDF) controller optimized with a very recent meta-heuristic algorithm—a modified crow search algorithm (mCSA)—after experimenting with the number of performance indices (PICs). The superiority of both the proposed optimization algorithm and the proposed controller is arrived at after comparison with similar other algorithms and similar controllers, respectively. Compared to conventional control schemes, the proposed scheme significantly reduces the frequency deviations, improving by 27.22% from the initial value and reducing the performance index criteria (ƞISE) control error to 0.000057. Furthermore, the demand response (DR) is implemented by an energy storage device (ESD), which validates the suitability of the proposed control strategy for the µG system and helps overcome the challenges associated with variable RESs inputs and load demand. Additionally, the improved robustness of the proposed controller for this application is demonstrated through sensitivity analysis with ±20% μG coefficient variation.

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Section: Thermostat Modelmentioning

confidence: 99%

Integrating Demand Response for Enhanced Load Frequency Control in Micro-Grids with Heating, Ventilation and Air-Conditioning Systems

et al. 2023

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“…The TCLs have to retain 3.3. DER and Load Flexibility for Frequency Response a certain comfort temperature range, which requires the room heating dissipation modelbased calculation in the control [153], while the LEDs have to retain certain comfort illumination ranges [154], which gives the corresponding reference power P re f without the frequency response. The power drawn by the controllable loads based on the frequency droop K load is given by (3.6).…”

Section: Frequency Response With Controllable Demandmentioning

confidence: 99%

Stability enhancement of inverter dominated power systems using virtual inertia control

Subramanian¹

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I have worked on the development of the proposed control strategies, their simulation/ validation and analysis in the different topics. The other notable contributions to the thesis are as follows:• Dr. Ujjal Manandhar guided me in setting up the testbench at the CERL, NTU, which was used for the droop control validation in Chapter 5.• Mr. Cedric Boudinet and Mr. William Norris helped me modify the connections at the FLIRT real-time testing facility at G2Elab.• Mr. Antoine Labonne and I had worked on setting up a power hardware-in-theloop experiment at the PREDIS, PDE facility, which could not be continued later due to the COVID 19 outbreak.• Assoc. Prof. Vincent Debusschere helped me frame the objectives of the respective researches, provided technical inputs, supervised my research, and proofread the manuscripts.

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Different Platforms Using Internet of Things for Monitoring and Control Temperature

Gutiérrez

Rocha

Estrada

et al. 2021

Research in Intelligent and Computing in Engineering

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On the Use of Thermostatically Controlled Loads for Frequency Control

Cited by 8 publications

References 11 publications

Integrating Demand Response for Enhanced Load Frequency Control in Micro-Grids with Heating, Ventilation and Air-Conditioning Systems

Integrating Demand Response for Enhanced Load Frequency Control in Micro-Grids with Heating, Ventilation and Air-Conditioning Systems

Stability enhancement of inverter dominated power systems using virtual inertia control

Different Platforms Using Internet of Things for Monitoring and Control Temperature

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