A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model

Yingying Chen, Fengji Luo, Zhaoyang Dong, Ke Meng, Gianluca Ranzi, Kit Po Wong

Research output: Contribution to journalArticle

Abstract

This paper proposes a day-ahead dispatch framework of thermostatically controlled loads (TCLs) for system peak load reduction. The proposed day-ahead scheduling framework estimates the user’s indoor thermal comfort degree through the building thermal inertia modelling. Based on the thermal comfort estimation, a day-ahead TCL scheduling model is formulated, which consists of 3 stages: ① TCL aggregator estimate their maximal controllable TCL capacities at each scheduling time interval by solving a optimization model; ② the system operator performs the day-ahead system dispatch to determine the load shedding instruction for each aggregator; and ③ the TCL aggregators schedules the ON/OFF control actions of the TCL groups based on the instruction from the system operator. A heuristic based optimization method, history driven differential evolution (HDDE) algorithm, is employed to solve the day-ahead dispatch model of the TCL aggregator side. Simulations are conducted to validate the proposed model.

Original languageEnglish
Pages (from-to)568-578
Number of pages11
JournalJournal of Modern Power Systems and Clean Energy
Volume7
Issue number3
DOIs
Publication statusPublished - 1 May 2019

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Chen, Yingying ; Luo, Fengji ; Dong, Zhaoyang ; Meng, Ke ; Ranzi, Gianluca ; Wong, Kit Po. / A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model. In: Journal of Modern Power Systems and Clean Energy. 2019 ; Vol. 7, No. 3. pp. 568-578.
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abstract = "This paper proposes a day-ahead dispatch framework of thermostatically controlled loads (TCLs) for system peak load reduction. The proposed day-ahead scheduling framework estimates the user’s indoor thermal comfort degree through the building thermal inertia modelling. Based on the thermal comfort estimation, a day-ahead TCL scheduling model is formulated, which consists of 3 stages: ① TCL aggregator estimate their maximal controllable TCL capacities at each scheduling time interval by solving a optimization model; ② the system operator performs the day-ahead system dispatch to determine the load shedding instruction for each aggregator; and ③ the TCL aggregators schedules the ON/OFF control actions of the TCL groups based on the instruction from the system operator. A heuristic based optimization method, history driven differential evolution (HDDE) algorithm, is employed to solve the day-ahead dispatch model of the TCL aggregator side. Simulations are conducted to validate the proposed model.",
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A day-ahead scheduling framework for thermostatically controlled loads with thermal inertia and thermal comfort model. / Chen, Yingying; Luo, Fengji; Dong, Zhaoyang; Meng, Ke; Ranzi, Gianluca; Wong, Kit Po.

In: Journal of Modern Power Systems and Clean Energy, Vol. 7, No. 3, 01.05.2019, p. 568-578.

Research output: Contribution to journalArticle

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