A state-queueing model of thermostatically controlled appliances

By Ning Lu, David P. Chassin. IEEE Transactions on Power Systems, 2004

263 citations recorded by the source corpus.

This paper develops a state-queueing model to analyze the price response of aggregated loads consisting of thermostatically controlled appliances (TCAs). Assuming a perfectly diversified load before the price response, we show that TCA setpoint changes in response to the market price will result in a redistribution of TCAs in on/off states and therefore change the probabilities for a unit to reside in each state. A randomly distributed load can be partially synchronized and the aggregated diversity lost. The loss of the load diversity can then create unexpected dynamics in the aggregated load profile. Raising issues such as restoring load diversity and damping the peak loads are also addressed in this paper.

View Paper: https://www.semanticscholar.org/paper/87e1a9f9d5d26fa67f6b67de57fb4b5a468c93f4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yue Zhou
2. Jianzhong Wu
3. Pengwei Du
4. Ning Lu
5. V. M. Murthy Balijepalli
6. Chengshan Wang
7. He Hao
8. Meng Cheng

Citations in the corpus

• Optimal scheduling of aggregated thermostatically controlled loads with renewable generation in the intraday electricity market (2017, background): “controlled appliances [16], and further studied the modeling uncertainties using that model [17].”
• A Geometric Approach to Aggregate Flexibility Modeling of Thermostatically Controlled Loads (2016, background): “These include partial differential equations [7], [11]–[13] and Markov chains [6], [8], [14], [15].”
• Modeling uncertainties in aggregated thermostatically controlled loads using a State queueing model (2004, methodology): “The detail of this oscillation has been analyzed in [8] using a TCA standby model.”
• Appliance Commitment for Household Load Scheduling (2011, methodology): “The thermal model we used is based on an equivalent thermal parameter (ETP) approach [13]–[17].”
• An Evaluation of the HVAC Load Potential for Providing Load Balancing Service (2012, background): “Not only is the relationship nonlinear, but the power consumption may oscillate because of the lack of load diversity after the control is initiated [7].”
• Review of demand response under smart grid paradigm (2011, methodology): “A state-queuing model of thermostatically controlled loads is presented to simulate the response of aggregated loads to the electricity prices in [64] Authors in [65] present experience on a pilot DR project implemented at Malvik Everk, a DSO in Central-Norway involving 40 household customers.”
• Probabilistic Characterization of Thermostatically Controlled Loads to Model the Impact of Demand Response Programs (2011, background): “Examples of such studies are [10] and [11], where probabilistic calculations of aggregate storage loads and duty-cycle are described as aggregated cycling load models [ 7 ], where a state-queueing model is used for the price response of thermostatically controlled appliances, or [12], where key issu”