Assessment of the COVID-19 pandemic effect on regional electricity generation mix in NYISO, MISO, and PJM markets

Eryilmaz, Derya; Patria, Margarita; Heilbrun, Caroline

doi:10.1016/j.tej.2020.106829

Cited by 32 publications

(24 citation statements)

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“…The changes in electric energy prices in Spain have also been studied in [11] . How the generation mix has changed in three Transmission System Operators in the United States due to the COVID-19 is also assessed in [12] . In [13] , a deeper analysis of the electric energy demand in the states of California, Florida and New York has been conducted.…”

Section: Related Workmentioning

confidence: 99%

A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level

et al. 2021

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Section: Related Workmentioning

confidence: 99%

A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level

et al. 2021

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“…One example is the study conducted in [29] , where researchers found that New York City’s (NYC) hourly demand in mid-April 2020 ranged from roughly 5% to 21% below typical levels while reductions in electric consumption averaged 21% below expected values during the 8 am hour. Similarly, researchers in [30] explored the impacts that the stay-at-home orders (SAHO), issued in response to the COVID-19 pandemic, had on the regional electricity generation fuel mixes in three major Regional Transmission Operators (RTOs) in the U.S., i.e., New York Independent System Operator (NYISO), Midcontinent Independent System Operator (MISO), and Pennsylvania Jersey Maryland (PJM). The authors use of the Shannon-Wiener diversity index, an index designed to measure the fuel diversity of a generation portfolio, in order to compare the before and after SAHO periods in terms of electricity generation fuel mixes.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic

et al. 2021

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The electric power grid is a complex cyberphysical energy system (CPES) in which information and communication technologies (ICT) are integrated into the operations and services of the power grid infrastructure. The growing number of Internet-of-things (IoT) high-wattage appliances, such as air conditioners and electric vehicles, being connected to the power grid, together with the high dependence of ICT and control interfaces, make CPES vulnerable to high-impact, low-probability load-changing cyberattacks. Moreover, the side-effects of the COVID-19 pandemic demonstrate a modification of electricity consumption patterns with utilities experiencing significant net-load and peak reductions. These unusual sustained low load demand conditions could be leveraged by adversaries to cause frequency instabilities in CPES by compromising hundreds of thousands of IoT-connected high-wattage loads. This article presents a feasibility study of the impacts of load-changing attacks on CPES during the low loading conditions caused by the lockdown measures implemented during the COVID-19 pandemic. The load demand reductions caused by the lockdown measures are analyzed using dynamic mode decomposition (DMD), focusing on the March-to-July 2020 period and the New York region as the most impacted time period and location in terms of load reduction due to the lockdowns being in full execution. Our feasibility study evaluates load-changing attack scenarios using real load consumption data from the New York Independent System Operator (NYISO) and shows that an attacker with sufficient knowledge and resources could be capable of producing frequency stability problems, with frequency excursions going up to 60.5 Hz and 63.4 Hz, when no mitigation measures are taken.

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“…These sectors included the health [27,28], food [29], environmental [30][31][32] and economic sectors [33,34]. The manner in which these sectors were affected also had influence on the energy sector due to COVID-19 regulations [35][36][37][38][39][40]. Therefore, there is a need to evaluate the effectiveness of the lockdown measures in the South African context [41], especially in terms of energy.…”

Section: Holidays Of South African Schoolsmentioning

confidence: 99%

Pandemic and bills: The impact of COVID-19 on energy usage of schools in South Africa

Samuels¹,

Grobbelaar²,

Booysen³

2021

Preprint

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The COVID-19 pandemic continues to wreak havoc on global operations and economies. Inadvertently, lock-downs and working from home have reduced the daily carbon footprints of transport and office buildings. A beneficial consequence of these reductions is the ability to measure the differential demand of occupants, to benchmark the base load of these buildings, and identify opportunities for efficiency improvements. In this paper we evaluate the change in energy demand in five public schools in South Africa with changes in occupancy due to the COVID-19-imposed lockdowns.

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Assessment of the COVID-19 pandemic effect on regional electricity generation mix in NYISO, MISO, and PJM markets

Cited by 32 publications

References 0 publications

A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level

A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level

On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic

Pandemic and bills: The impact of COVID-19 on energy usage of schools in South Africa

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