DOI:https://doi.org/10.1007/s40565-018-0431-3 |
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A day-ahead scheduling framework for thermostaticallycontrolled loads with thermal inertia and thermal comfort model |
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Net amount: 710 |
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Author:
Yingying CHEN1
, Fengji LUO2 , Zhaoyang DONG3
,
Ke MENG3
, Gianluca RANZI2
, Kit Po WONG4
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Author Affiliation:
1. Visionstream Australia Pty Ltd, Sydney, NSW 2067,
Australia
2. School of Civil Engineering, University of Sydney, Sydney,
NSW 2006, Australia
3. School of Electrical Engineering and Telecommunications,
University of New South Wales, Sydney, NSW 2052,
Australia
4. School of Electrical, Electronics, and Computer Engineering,
University of Western Australia, Crawley, WA 6009,
Australia
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Foundation: |
This work is supported in part by an Australian
Research Council Future Fellowship scheme (No. FT140100130) and
in part by an Australian Research Discovery Project (No.
DP170103427). |
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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 dayahead
TCL scheduling model is formulated, which consists
of 3 stages: TCL aggregator estimate their maximal
controllable TCL capacities at each scheduling time
interval by solving a optimization model; ` the system
operator performs the day-ahead system dispatch to
determine the load shedding instruction for each aggregator;
and ′ 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. |
Keywords: |
Thermostatically controlled load, Demand side
management, Thermal comfort model, Demand response,
Direct load control |
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Online Time:2019/05/14 |
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