Load Control for Frequency Response - A Literature Review

Anderson, Benjamin; Reilly, James; Krishnan, Venkat

doi:10.2172/1846936

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Figure 9 shows the US county-level average number of customers with direct load control. Loads that are large enough and can be controlled quickly can be used to control and improve grid frequency regulation [53,54]. Frequency regulation is of high importance to power system stability.…”

Section: Active Demand Side Management and Direct Load Controlmentioning

confidence: 99%

Computational social science in smart power systems: Reliability, resilience, and restoration

Valinejad

Mili

et al. 2023

Energy Conversion and Econom

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Smart grids are typically modelled as cyber-physical power systems, with limited consideration given to the social aspects. Specifically, traditional power system studies tend to overlook the behaviour of stakeholders, such as end-users. However, the impact of endusers and their behaviour on power system operation and response to disturbances is significant, particularly with respect to demand response and distributed energy resources. Therefore, it is essential to plan and operate smart grids by taking into account both the technical and social aspects, given the crucial role of active and passive end-users, as well as the intermittency of renewable energy sources. In order to optimize system efficiency, reliability, and resilience, it is important to consider the level of cooperation, flexibility, and other social features of various stakeholders, including consumers, prosumers, and microgrids. This article aims to address the gaps and challenges associated with modelling social behaviour in power systems, as well as the human-centred approach for future development and validation of socio-technical power system models. As the cyber-physical-social system of energy emerges as an important topic, it is imperative to adopt a human-centred approach in this domain. Considering the significance of computational social science for power system applications, this article proposes a list of research topics that must be addressed to improve the reliability and resilience of power systems in terms of both operation and planning. Solving these problems could have far-reaching implications for power systems, energy markets, community usage, and energy strategies.

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Section: Active Demand Side Management and Direct Load Controlmentioning

confidence: 99%

Computational social science in smart power systems: Reliability, resilience, and restoration

Valinejad

Mili

et al. 2023

Energy Conversion and Econom

View full text Add to dashboard Cite

show abstract

“…Loads can also provide up-frequency response because they are capable of temporarily reducing power use during low-frequency events (Anderson, Reilly, and Krishnan 2022). Large industrial load shedding has been implemented in several North American grids (Denholm, Sun, and Mai 2019).…”

Section: Introductionmentioning

confidence: 99%