journal article·2018-08-15Open access

A Stackelberg Game Approach for Price Response Coordination of Thermostatically Controlled Loads

Peng Wang, Suli Zou, Xiaojuan Wang, Zhongjing Ma

Applied Sciences· Volume 8· Issue 8

Abstract

In this paper, we study the demand response of the thermostatically controlled loads (TCLs) to control their set-point temperatures by considering the tradeoff between the electricity payment and TCL user’s comfort preference. Based upon the dynamics of the TCLs, we set up the relationship between the set-point temperature and the energy demand. Then, we define a discomfort function with respect to the associated energy demand which represents the discomfort level of the set-point temperature. More specifically, the system is equipped with a coordinator named electric energy control center (EECC) which can buy energy resources from the electricity market and sell them to TCL users. Due to the interaction between EECC and TCL users, we formulate the specific energy trading process as a one-leader multiple-follower Stackelberg game. As the main contributions of this work, we show the existence and uniqueness of the equilibrium for the underlying Stackelberg games, and develop a DR algorithm based on the so-called Backward Induction to achieve the equilibrium. Several numerical simulations are presented to verify the developed results in this work.
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Research context

OpenAlex topics: Smart Grid Energy Management · Building Energy and Comfort Optimization · Energy Efficiency and Management

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Automation, Beijing Institute of Technology (BIT), Beijing 100081, China

Automatic Control Laboratory, Department of Information Technology and Electrical Engineering, Swiss Federal Institute of Technology (ETH), Zurich 8092, Switzerland

China Electronics Standardization Institute (CESI), Beijing 100007, China

References (32)

Show source-provided references
1. Demand response and smart grids—A survey10.1016/j.rser.2013.10.022 ↗
2. Meng, F.L., and Zeng, X.J. (2014, January 6–11). An optimal real-time pricing for demand-side management: A Stackelberg game and genetic algorithm approach. Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China.10.1109/IJCNN.2014.6889608 ↗
3. Grid of the future10.1109/MPE.2008.931384 ↗
4. Management and Control of Domestic Smart Grid Technology10.1109/TSG.2010.2055904 ↗
5. Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy10.1016/j.enconman.2008.12.012 ↗
6. Aggregate Flexibility of Thermostatically Controlled Loads
7. The Long-Run Efficiency of Real-Time Electricity Pricing10.5547/ISSN0195-6574-EJ-Vol26-No3-5 ↗
8. Demand Response Management in the Smart Grid in a Large Population Regime10.1109/TSG.2015.2431324 ↗
9. Supply-demand balancing for power management in smart grid: A Stackelberg game approach10.1016/j.apenergy.2015.12.039 ↗
10. Efficient decentralized coordination of large-scale plug-in electric vehicle charging10.1016/j.automatica.2016.01.035 ↗
11. Real-time pricing scheme based on Stackelberg game in smart grid with multiple power retailers10.1016/j.neucom.2017.04.027 ↗
12. A stochastic computer model for heating and cooling loads10.1109/59.14584 ↗
13. Ucak, C., and Caglar, R. (1998, January 18–21). The effects of load parameter dispersion and direct load control actions on aggregated load. Proceedings of the 1998 International Conference on Power System Technology, Beijing, China.
14. Modeling and Control of Aggregate Air Conditioning Loads for Robust Renewable Power Management10.1109/TCST.2012.2204261 ↗
15. Koch, S., Mathieu, J.L., and Callaway, D.S. (2011, January 22–26). Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services. Proceedings of the Power Systems Computation Conference, Stockholm, Sweden.
16. Demand-Side Energy Management by Use of a Design-Then-Approximate Controller for Aggregated Thermostatic Loads10.1109/TCST.2017.2705157 ↗
17. State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance10.1109/TPWRS.2012.2204074 ↗
18. A Real-Time Demand-Response Algorithm for Smart Grids: A Stackelberg Game Approach
19. A game-theoretic approach for optimal time-of-use electricity pricing10.1109/TPWRS.2012.2207134 ↗
20. Samadi, P., Mohsenian-Rad, A.H., Schober, R., Wong, V.W.S., and Jatskevich, J. (2010, January 4–6). Optimal Real-Time Pricing Algorithm Based on Utility Maximization for Smart Grid. Proceedings of the IEEE International Conference on Smart Grid Communications, Gaithersburg, MD, USA.10.1109/SMARTGRID.2010.5622077 ↗
21. Three-Party Energy Management With Distributed Energy Resources in Smart Grid10.1109/TIE.2014.2341556 ↗
22. Osborne, M.J., and Rubinstein, A. (1994). A Course in Game Theory, MIT Press.
23. Strategic Bidding for Price-Taker Hydroelectricity Producers10.1109/TPWRS.2007.907457 ↗
24. Price-Taker Bidding Strategy under Price Uncertainty10.1109/MPER.2002.4312581 ↗
25. Model Predictive Control for Thermostatically Controlled Appliances Providing Balancing Service10.1109/TCST.2016.2535400 ↗
26. Barata, F.A., Igreja, J.M., and Rui, N.S. (2016). Demand Side Management Energy Management System for Distributed Networks, Springer International Publishing.10.1007/978-3-319-31165-4_43 ↗
27. Model-Based Estimation of Energy Savings in Load Control Events for Thermostatically Controlled Loads10.1109/TSG.2014.2298840 ↗
28. Methods for Adding Demand Response Capability to a Thermostatically Controlled Load with an Existing On-off Controller10.5370/JEET.2015.10.3.755 ↗
29. Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing10.1109/TSG.2012.2218835 ↗
30. A Stackelberg game-theoretic approach to optimal real-time pricing for the smart grid10.1007/s00500-013-1092-9 ↗
31. Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach10.1109/TSG.2012.2223766 ↗
32. Mathieu, J.L., and Callaway, D.S. (2012, January 4–7). State Estimation and Control of Heterogeneous Thermostatically Controlled Loads for Load Following. Proceedings of the Hawaii International Conference on System Science, Maui, HI, USA.10.1109/HICSS.2012.545 ↗