Reliability of emergency and standby diesel generators: Impact on energy resiliency solutions

Marqusee, Jeffrey; Jenket, Donald R.

doi:10.1016/j.apenergy.2020.114918

Cited by 52 publications

(19 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The possibility that solar panels or diesel generators could potentially fail, is not considered in this study. It is, in fact, possible that all three components this study considers (diesel generators, solar panels and BESS) can be severely damaged in a hurricane [40][41]. This is also an additional consideration that will need to be built into the analysis to see if they have a major impact on the selection of resilience options.…”

Section: B Limitations and Possible Extensionsmentioning

confidence: 99%

Planning for a Resilient Home Electricity Supply System

2021

View full text Add to dashboard Cite

Resilience of power systems is already a key issue that is getting frequent attention all over the world. It is useful to analyze resilience issues not only for bulk supply, but at all levels including at a customer level. This is because distributed energy resources can play a prominent role in enhancing resilience. Although the literature on planning models, tools and data for bulk supply and distribution systems have expanded in recent years, customer-centric planning, e.g., for an individual household, is yet to receive adequate attention. Although solar PV and battery storage at a household level have been analyzed, how these resources can be optimally combined, together with grid supply, from a resilience perspective is the focus of this study. The study demonstrates how a conceptual framework can be developed to show the trade-off between system costs and resilience including its dimensions such as duration, depth and frequency of service outages. A planning model is developed that incorporates multiple facets of resilience and individual customer preferences. The model considers power system resilience explicitly as a constraint. The model is implemented for a household level case study in Miami, Florida. The results show there are complex tradeoffs among different dimensions of resilience. The study demonstrates how combined resilience metrics can be formulated and evaluated using the proposed least-cost planning model at a household level to optimize grid supply together with solar, battery storage and diesel generators. The model allows a planner to directly embed a resilience standard to drive the optimal supply mix. These concepts and the modeling construct can also be applied at other levels of planning, including community level and bulk supply system planning.

show abstract

Section: B Limitations and Possible Extensionsmentioning

confidence: 99%

Planning for a Resilient Home Electricity Supply System

2021

View full text Add to dashboard Cite

show abstract

“…Simulation results indicate that PV‐based microgrids have lower net present cost (NPC) and cost of energy (COE) for having almost the same resilience enhancement. Nevertheless, it is pointed out in [110 ] that the self‐reliability of emergency backup diesel generators have significant impacts on the energy resiliency of critical loads. Poorly maintained emergency diesel generators might lead to a very high risk of power loss during grid outages.…”

Section: Dg and Microgrid Assisted Resilience Enhancementmentioning

confidence: 99%

Resilient distribution system leveraging distributed generation and microgrids: a review

Liu

Jiang

Ollis

et al. 2020

IET Energy Systems Integration

View full text Add to dashboard Cite

“…In this section we discuss the reliability of a single EDG (6). We first provide a brief introduction to reliability concepts.…”

Section: Component Reliabilitymentioning

confidence: 99%

“…To our knowledge, only four data sets are both large enough 6 and relevant to EDGs to be used to estimate the required reliability metrics discussed previously. While none of these data sets provide information for all four metrics, they can be used together to provide insight on the performance of an EDG during a long-term grid outage.…”

Section: Data Sourcesmentioning

confidence: 99%