journal article·2020-01-01Open access

Demand response based desynchronization of thermostatically controlled loads with hardware implementation

Kshitij Singh, Pratik Bajaria

AIP Advances· Volume 10· Issue 1

Abstract

Smart buildings are the need of the day with increasing demand-supply ratios and considerable deficiency to generate them. In any modern nonindustrial infrastructure, these demands mainly comprise thermostatically controlled loads (TCLs), which can be maneuvered. TCLs, such as air-conditioners, heaters, and refrigerators, are ubiquitous and their operating times can be controlled to achieve desired aggregate power. This power aggregation, in turn, helps achieve load management targets and thereby serves as an ancillary service (AS) to the power grid. In this work, a distributed averaging protocol is used to achieve the desired power aggregate set by the utility using steady-state desynchronization. The results are verified using a computer program for a homogeneous and heterogeneous population of TCLs. Furthermore, a load following scenario has been implemented using the utility as a reference. Apart from providing a significant AS to the power grid, the proposed idea also helps reduce the amplitude of power system oscillations imparted by the TCLs. Hardware-based results are obtained to verify its implementation feasibility in real-time.
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Research context

OpenAlex topics: Smart Grid Energy Management · Microgrid Control and Optimization · Smart Grid Security and Resilience

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

Affiliations

Veermata Jijabai Technological Institute , Mumbai 400 019, India

References (38)

Show source-provided references
1. 1997
2. A common data architecture for energy data analytics
3. Renewable energy integration with mini/micro-grids10.1016/j.apenergy.2017.05.160 ↗
4. Impact of disturbances on modeling of thermostatically controlled loads for demand response10.1109/tsg.2015.2406316 ↗
5. Ancillary service to the grid using intelligent deferrable loads10.1109/tac.2015.2414772 ↗
6. Demand response and smart grids—A survey10.1016/j.rser.2013.10.022 ↗
7. Low carbon technologies as providers of operational flexibility in future power systems10.1016/j.apenergy.2016.01.123 ↗
8. Challenges on primary frequency control and potential solution from EVs in the future GB electricity system10.1016/j.apenergy.2016.05.123 ↗
9. A hybrid control approach for regulating frequency through demand response10.1016/j.apenergy.2017.08.160 ↗
10. E. I. A. (US) · 2012
11. Provision of secondary frequency control via demand response activation on thermostatically controlled loads: Solutions and experiences from Denmark10.1016/j.apenergy.2016.04.054 ↗
12. Impact of thermostatically controlled loads’ demand response activation on aggregated power: A field experiment10.1016/j.energy.2015.11.050 ↗
13. Switched control strategies of aggregated commercial HVAC systems for demand response in smart grids10.3390/en10070953 ↗
14. Optimal scheduling of aggregated thermostatically controlled loads with renewable generation in the intraday electricity market10.1016/j.apenergy.2016.12.008 ↗
15. Reduction of heat pump induced peak electricity use and required generation capacity through thermal energy storage and demand response10.1016/j.apenergy.2017.03.055 ↗
16. Load following of multiple heterogeneous TCL aggregators by centralized control10.1109/tpwrs.2016.2626315 ↗
17. Hierarchical control of residential HVAC units for primary frequency regulation10.1109/tsg.2017.2766880 ↗
18. Hierarchical control of thermostatically controlled loads for primary frequency support10.1109/tsg.2016.2624509 ↗
19. An operational planning framework for large-scale thermostatically controlled load dispatch10.1109/tii.2016.2515086 ↗
20. Cluster control of heterogeneous thermostatically controlled loads using tracer devices10.1109/TSG.2015.2483506 ↗
21. A geometric approach to aggregate flexibility modeling of thermostatically controlled loads10.1109/tpwrs.2017.2674699 ↗
22. Optimising regulation of aggregated thermostatically controlled loads based on multi-swarm PSO10.1049/iet-gtd.2016.1847 ↗
23. Residential demand response of thermostatically controlled loads using batch reinforcement learning10.1109/tsg.2016.2517211 ↗
24. Use of maximum power point tracking signal for instantaneous management of thermostatically controlled loads in a DC nanogrid10.1109/tsg.2017.2704116 ↗
25. Demand-side energy management by use of a design-then-approximate controller for aggregated thermostatic loads10.1109/tcst.2017.2705157 ↗
26. Distributed control of thermostatically controlled loads in distribution network with high penetration of solar PV10.17775/cseejpes.2017.0008 ↗
27. Safe protocols for generating power pulses with heterogeneous populations of thermostatically controlled loads10.1016/j.enconman.2012.11.021 ↗
28. Safe control of thermostatically controlled loads with installed timers for demand side management10.1016/j.enconman.2014.06.049 ↗
29. Aggregate flexibility of thermostatically controlled loads10.1109/tpwrs.2014.2328865 ↗
30. Load frequency control by aggregations of thermally stratified electric water heaters
31. A phase model approach for thermostatically controlled load demand response10.1016/j.apenergy.2018.06.123 ↗
32. The dynamics of thermostatically controlled loads for power system frequency control10.1155/2017/5031505 ↗
33. Dynamic dispatch of thermostatically controlled loads using phase oscillator model10.1016/j.segan.2019.100220 ↗
34. 2008
35. Synchronization in complex oscillator networks and smart grids10.1073/pnas.1212134110 ↗
36. 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 ↗
37. Modeling and control of aggregated heterogeneous thermostatically controlled loads for ancillary services
38. Phase oscillator model for de-synchronization of thermostatically controlled loads