2019
DOI: 10.1186/s41601-019-0135-3
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Review of modeling and control strategy of thermostatically controlled loads for virtual energy storage system

Abstract: The increasing penetration of renewable energy sources (RESs) brings more power generation fluctuations into power systems, which puts forward higher requirement on the regulation capacities for maintaining the power balance between supply and demand. In addition to traditional generators for providing regulation capacities, the progressed information and communication technologies enable an alternative method by controlling flexible loads, especially thermostatically controlled loads (TCLs) for regulation ser… Show more

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Cited by 40 publications
(9 citation statements)
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“…In addition to shifting one of the two hysteresis limits, as already mentioned above, it is also possible in some systems to shift both hysteresis limits, thus bridging the time of several charging cycles of the reference operation. This mode of operation was suggested in [42], for example, to enable hysteresis-controlled systems for load management.…”
Section: Methods For Quantifying the State-dependent Flexibility Potential Of Iesmentioning
confidence: 99%
“…In addition to shifting one of the two hysteresis limits, as already mentioned above, it is also possible in some systems to shift both hysteresis limits, thus bridging the time of several charging cycles of the reference operation. This mode of operation was suggested in [42], for example, to enable hysteresis-controlled systems for load management.…”
Section: Methods For Quantifying the State-dependent Flexibility Potential Of Iesmentioning
confidence: 99%
“…Such control methods do not need mathematical model for buildings. Due to this reason, these models have been more widely adopted for energy utilization control of ACs compared with traditional strategies [104]. Intelligent or soft control methods include artificial neural network (ANN) control, fuzzy logic (FL) control, control by genetic algorithms (GAs), and other evolutionary methods discussed in [105].…”
Section: A Models For Dr Programs Of Acsmentioning
confidence: 99%
“…Reference [50] proposes a model to store and release energy in response to regulation signals by coordinating the Demand Response (DR) from domestic refrigerators in a city and the response from conventional Flywheel Energy Storage Systems (FESSs). Reference [54] investigated the modeling and control strategies of aggregated thermostatically controlled loads (TCLs) as the VESS for demand response. Reference [55] reported an attempt to coordinate multiple groups of centralized air conditioners for load management of the distribution network.…”
Section: Virtual Energy Storage System Current Research and Developmentmentioning
confidence: 99%