Applications of thermostatically controlled loads for demand response with the proliferation of variable renewable energy
Received date: 16 Oct 2020
Accepted date: 24 Dec 2020
Published date: 15 Feb 2022
Copyright
More flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demand in power systems.Thermostatically controlled loads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demand response (DR) programs. To effectively manage numerous and distributed TCLs, intermediate coordinators, e.g., aggregators, as a bridge between end users and dispatch operators are required to model and control TCLs for serving the grid. Specifically, intermediate coordinators get the access to fundamental models and response modes of TCLs, make control strategies, and distribute control signals to TCLs according the requirements of dispatch operators. On the other hand, intermediate coordinators also provide dispatch models that characterize the external characteristics of TCLs to dispatch operators for scheduling different resources. In this paper, the bottom-up key technologies of TCLs in DR programs based on the current research have been reviewed and compared, including fundamental models, response modes, control strategies, dispatch models and dispatch strategies of TCLs, as well as challenges and opportunities in future work.
Meng SONG , Wei SUN . Applications of thermostatically controlled loads for demand response with the proliferation of variable renewable energy[J]. Frontiers in Energy, 2022 , 16(1) : 64 -73 . DOI: 10.1007/s11708-021-0732-5
1 |
Wu H, Shahidehpour M, Alabdulwahab A,
|
2 |
Sajjad I, Chicco G, Napoli R. Definitions of demand flexibility for aggregate residential loads. IEEE Transactions on Smart Grid, 2016, 7(6): 2633–2643
|
3 |
Radaideh A, Vaidya U, Ajjarapu V. Sequential set-point control for heterogeneous thermostatically controlled loads through an extended Markov chain abstraction. IEEE Transactions on Smart Grid, 2019, 10(1): 116–127
|
4 |
Kohlhepp P, Harb H, Wolisz H,
|
5 |
Xu X, Yan Z, Shahidehpour M,
|
6 |
Erdinc O, Tascikaraoglu A, Paterakis N,
|
7 |
Kim Y J, Norford L K, Kirtley J L. Modeling and analysis of a variable speed heat pump for frequency regulation through direct load control. IEEE Transactions on Power Systems, 2015, 30(1): 397–408
|
8 |
Song M, Gao C, Yan H,
|
9 |
Hao H, Wu D, Lian J,
|
10 |
Pahwa A, Brice C W. Modeling and system identification of residential air conditionning load. IEEE Transactions on Power Apparatus and Systems, 1985, 104(6): 1418–1425
|
11 |
Song M, Gao C, Su W. Modeling and controlling of air-conditioning load for demand response applications. Automation of Electric Power Systems, 2016, 40(14): 158–167 (in Chinese)
|
12 |
Molina A, Gabaldon A, Fuentes J A,
|
13 |
Iacovella S, Ruelens F, Vingerhoets P,
|
14 |
Hao H, Corbin C D, Kalsi K,
|
15 |
Wu X, He J, Xu Y,
|
16 |
Song M, Gao C, Shahidehpour M,
|
17 |
Wai C H, Beaudin M, Zareipour H,
|
18 |
Sinitsyn N A, Kundu S, Backhaus S. Safe protocols for generating power pulses with heterogeneous populations of thermostatically controlled loads. Energy Conversion and Management, 2013, 67: 297–308
|
19 |
Lu N, Zhang Y. Design considerations of a centralized load controller using thermostatically controlled appliances for continuous regulation reserves. IEEE Transactions on Smart Grid, 2013, 4(2): 914–921
|
20 |
Hu J, Cao J, Yong T,
|
21 |
Kim Y J, Fuentes E, Norford L K. Experimental study of grid frequency regulation ancillary service of a variable speed heat pump. IEEE Transactions on Power Systems, 2016, 31(4): 3090–3099
|
22 |
Song M, Cao C W, Shahidehpour M,
|
23 |
Malhame R, Chong C Y. Electric load model synthesis by diffusion approximation of a high-order hybrid-state stochastic system. IEEE Transactions on Automatic Control, 1985, 30(9): 854–860
|
24 |
Tindemans S H, Trovato V, Strbac G. Decentralized control of thermostatic loads for flexible demand response. IEEE Transactions on Control Systems Technology, 2015, 23(5): 1685–1700
|
25 |
Bashash S, Fathy H K. Modeling and control of aggregate air conditioning loads for robust renewable power management. IEEE Transactions on Control Systems Technology, 2013, 21(4): 1318–1327
|
26 |
Kamgarpour M, Ellen C, Soudjani S E Z,
|
27 |
Song M, Gao C, Shahidehpour M,
|
28 |
Song M, Cao C, Yang J,
|
29 |
Liu M, Shi Y. Model predictive control of aggregated heterogeneous second-order thermostatically controlled loads for ancillary services. IEEE Transactions on Power Systems, 2016, 31(3): 1963–1971
|
30 |
Hu J, Cao J, Chen M Z Q,
|
31 |
Liu M, Shi Y, Liu X. Distributed MPC of aggregated heterogeneous thermostatically controlled loads in smart grid. IEEE Transactions on Industrial Electronics, 2016, 63(2): 1120–1129
|
32 |
Mathieu J L, Koch S, Callaway D S. State estimation and control of electric loads to manage real-time energy imbalance. IEEE Transactions on Power Systems, 2013, 28(1): 430–440
|
33 |
Lu N. An evaluation of the HVAC load potential for providing load balancing service. IEEE Transactions on Smart Grid, 2012, 3(3): 1263–1270
|
34 |
Esmaeil Zadeh Soudjani S, Abate A. Aggregation and control of populations of thermostatically controlled loads by formal abstractions. IEEE Transactions on Control Systems Technology, 2015, 23(3): 975–990
|
35 |
Li C, Chen Y, Luo F,
|
36 |
Radaideh A, Vaidya U, Ajjarapu V. Sequential set-point control for heterogeneous thermostatically controlled loads through an extended markov chain abstraction. IEEE Transactions on Smart Grid, 2019, 10(1): 116–127
|
37 |
Bhattarai B P, de Cerio Mendaza I D, Myers K S,
|
38 |
Bashash S, Fathy H K. Modeling and control insights into demand-side energy management through setpoint control of thermostatic loads. In: Proceedings of the 2011 American Control Conference, San Francisco, CA, USA, 2011
|
39 |
Hao H, Sanandaji B M, Poolla K,
|
40 |
Ruelens F, Claessens B J, Vandael S,
|
41 |
Vrettos E, Ziras C, Andersson G. Fast and reliable primary frequency reserves from refrigerators with decentralized stochastic control. IEEE Transactions on Power Systems, 2017, 32(4): 2924–2941
|
42 |
Molina-Garcia A, Bouffard F, Kirschen D S. Decentralized demand-side contribution to primary frequency control. IEEE Transactions on Power Systems, 2011, 26(1): 411–419
|
43 |
Guo D, Zhang W, Yan G,
|
44 |
Meng K, Wang D, Dong Z Y,
|
45 |
Saker N, Petit M, Vannier J C,
|
46 |
Perfumo C, Braslavsky J, Ward J K. A sensitivity analysis of the dynamics of a population of thermostatically-controlled loads. In: 2013 Australasian Universities Power Engineering Conference (AUPEC), Hobart, TAS, Australia, 2013
|
47 |
Gilvanejad M, Askarian Abyaneh H, Mazlumi K. Estimation of cold-load pickup occurrence rate in distribution systems. IEEE Transactions on Power Delivery, 2013, 28(2): 1138–1147
|
48 |
Wang D, Lu N, Miao W,
|
49 |
Mahdavi N, Braslavsky J H, Perfumo C. Mapping the effect of ambient temperature on the power demand of populations of air conditioners. IEEE Transactions on Smart Grid, 2018, 9(3): 1540–1550
|
50 |
Ruiz N, Cobelo I, Oyarzabal J. A direct load control model for virtual power plant management. IEEE Transactions on Power Systems, 2009, 24(2): 959–966
|
51 |
Trovato V, Tindemans S H, Strbac G. The leaky storage model for optimal multi-service allocation of thermostatic loads. IET Generation, Transmission & Distribution, 2016, 10(3): 585–593
|
52 |
Trovato V, Tindemans S H, Strbac G. Security constrained economic dispatch with flexible thermostatically controlled loads. In: IEEE PES Innovative Smart Grid Technologies, Istanbul, Turkey, 2014
|
53 |
Song M, Gao C, Yang J,
|
54 |
Luo F, Dong Z Y, Meng K,
|
55 |
Zhao L, Zhang W, Hao H,
|
56 |
Mathieu J L, Kamgarpour M, Lygeros J,
|
57 |
Kurucz C N, Brandt D, Sim S. A linear programming model for reducing system peak through customer load control programs. IEEE Transactions on Power Systems, 1996, 11(4): 1817–1824
|
58 |
Yang H T, Huang K Y. Direct load control using fuzzy dynamic programming. IEE Proceedings–Generation, Transmission and Distribution, 1999, 146(3): 294–300
|
59 |
Lee T F, Cho M Y, Hsiao Y C,
|
60 |
Chu C M, Jong T L, Huang Y W. Mitigating DLC constraints of air-conditioning loads using a group-DLC method. In: 2007 IEEE Power Engineering Society General Meeting, Tampa, FL, USA, 2007
|
61 |
Wen Y, Li W, Huang G,
|
62 |
Ning Y, Li X, Ma X,
|
63 |
Li N, Uckun C, Constantinescu E M,
|
64 |
Lujano-Rojas J M, Dufo-Lopez R, Bernal-Agustin J L,
|
65 |
Hutchison G, Giaouris D, Gadoue S,
|
66 |
Mahdavi N, Braslavsky J H, Seron M M,
|
67 |
Mathieu J L, Callaway D S. State estimation and control of heterogeneous thermostatically controlled loads for load following. In: 2012 45th Hawaii International Conference on System Sciences, Maui, HI, USA, 2012
|
68 |
Vanouni M, Lu N. A reward allocation mechanism for thermostatically controlled loads participating in intra-hour ancillary services. IEEE Transactions on Smart Grid, 2018, 9(5): 4209–4219
|
69 |
Renani Y K, Ehsan M, Shahidehpour M. Optimal transactive market operations with distribution system operators. IEEE Transactions on Smart Grid, 2018, 9(6): 6692–6701
|
70 |
Gregoratti D, Matamoros J. Distributed energy trading: the multiple-microgrid case. Industrial Electronics IEEE Transactions on Industrial Electronics, 2015, 62(4): 2551–2559
|
71 |
Liu Z, Wu Q, Shahidehpour M,
|
/
〈 | 〉 |