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Achieving Controllability of Electric Loads

1.1K

Citations

40

References

2010

Year

TLDR

Load control aims to support system objectives such as economic dispatch, automatic generation control, and spinning reserve, and involves centralized, hierarchical, and distributed architectures with varying benefits and drawbacks. The paper proposes conceptual frameworks for directly controlling highly distributed loads to provide fast, predictable ancillary services like regulation and contingency reserves, rather than relying on price response. The authors review current load‑control initiatives, discuss challenges in reconciling device‑level and system‑level objectives, and examine the required communications infrastructure. Fully responsive load control is demonstrated for thermostatically controlled loads and plug‑in electric vehicles.

Abstract

This paper discusses conceptual frameworks for actively involving highly distributed loads in power system control actions. The context for load control is established by providing an overview of system control objectives, including economic dispatch, automatic generation control, and spinning reserve. The paper then reviews existing initiatives that seek to develop load control programs for the provision of power system services. We then discuss some of the challenges to achieving a load control scheme that balances device-level objectives with power system-level objectives. One of the central premises of the paper is that, in order to achieve full responsiveness, direct load control (as opposed to price response) is required to enable fast time scale, predictable control opportunities, especially for the provision of ancillary services such as regulation and contingency reserves. Centralized, hierarchical, and distributed control architectures are discussed along with benefits and disadvantages, especially in relation to integration with the legacy power system control architecture. Implications for the supporting communications infrastructure are also considered. Fully responsive load control is illustrated in the context of thermostatically controlled loads and plug-in electric vehicles.

References

YearCitations

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