The effect of renewable energy incorporation on power grid stability and resilience

Author:

Smith Oliver1ORCID,Cattell Oliver1ORCID,Farcot Etienne1ORCID,O’Dea Reuben D.1ORCID,Hopcraft Keith I.1

Affiliation:

1. School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK.

Abstract

Contemporary proliferation of renewable power generation is causing an overhaul in the topology, composition, and dynamics of electrical grids. These low-output, intermittent generators are widely distributed throughout the grid, including at the household level. It is critical for the function of modern power infrastructure to understand how this increasingly distributed layout affects network stability and resilience. This paper uses dynamical models, household power consumption, and photovoltaic generation data to show how these characteristics vary with the level of distribution. It is shown that resilience exhibits daily oscillations as the grid’s effective structure and the power demand fluctuate. This can lead to a substantial decrease in grid resilience, explained by periods of highly clustered generator output. Moreover, the addition of batteries, while enabling consumer self-sufficiency, fails to ameliorate these problems. The methodology identifies a grid’s susceptibility to disruption resulting from its network structure and modes of operation.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference43 articles.

1. UK Department for Business Energy and Industrial Strategy “Energy Trends: U.K. Renewables” (2020); www.gov.uk/government/statistics/energy-trends-section-6-renewables [accessed 16 February 2021].

2. UK Government “The Climate Change Act 2008” (UK Statutory Instrument 2019/1056 2008); www.legislation.gov.uk/uksi/2019/1056/contents/made.

3. United Nations “The Paris Agreement” (2015); https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement [accessed 16 February 2021].

4. Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization

5. A simple model of global cascades on random networks

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