Improving the Power Outage Resilience of Buildings with Solar PV through the Use of Battery Systems and EV Energy Storage

Gong, Huangjie; Ionel, Dan M.

doi:10.3390/en14185749

Cited by 25 publications

(9 citation statements)

References 27 publications

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“…Additionally, the region is vulnerable to natural disaster risks, and the possibilities of affectation are very high. Therefore, power planning must develop actions to improve power grid resilience by taking advantage of storage as it is mentioned by [52][53][54].…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition

et al. 2023

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Over the past few decades, Central American countries have seen a steady increase in their energy needs. Luckily, the region has abundant renewable energy resources and, as a result, has been busy constructing wind and photovoltaic power facilities. However, while these renewable sources are promising, they come with some risks—mainly, their variable power generation can pose a challenge to the interconnected regional system. This paper explores the current state of the Central American power system and the obstacles it faces as it strives to transition to a more environmentally-friendly energy system. To do so, the authors employed power flow analysis and transient stability studies, which were conducted using ETAP (Electrical Transient Analyzer Program) to model and simulate the power system. Their study revealed that the Central American power system is at risk of instability, and they suggest that integrating ancillary services and storage solutions could strengthen its resilience. Additionally, the authors advocate for the development of microgrids, energy management, and sustainable decarbonization plans. Lastly, the authors emphasize the importance of short-, medium-, and long-term power planning to make better decisions.

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Section: Challenges and Opportunitiesmentioning

confidence: 99%

The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition

et al. 2023

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“…Las actividades para aumentar la resiliencia del sistema energético incluyen la mejora del diseño de la red, refuerzo de la infraestructura energética, gestión de la vegetación para reducir los incendios forestales 186,187 y la caída de árboles sobre tendidos eléctricos 188 y microrredes de energía limpia para las comunidades vulnerables a los cortes de electricidad 189 . El almacenamiento de baterías combinado con la energía solar fotovoltaica puede mejorar la resiliencia de los edificios durante los cortes de electricidad 190 . El refuerzo de las tuberías de gas natural, así como la realización de evaluaciones periódicas de tensión y mantenimiento, reducen el riesgo de hundimiento 69 .…”

Section: Mensaje Clave 53 Se Están Llevando a Cabo Esfuerzos Para Mej...unclassified

Cap. 5. Abastecimiento, suministro y demanda de energía. En: La Quinta Evaluación Nacional del Clima

2023

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“…In this article, we focus on FCR and SCI only, although batteries can be employed in smart energy systems for a variety of other applications such as peak shaving [10], electric service reliability [11], spot market trading [12], and many others, as are summarized in [13].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Estimation of Battery Efficiency and Related Key Performance Indicators in Smart Energy Systems

et al. 2023

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Battery systems are extensively used in smart energy systems in many different applications, such as Frequency Containment Reserve or Self-Consumption Increase. The behavior of a battery in a particular operation scenario is usually summarized using different key performance indicators (KPIs). Some of these indicators such as efficiency indicate how much of the total electric power supplied to the battery is actually used. Other indicators, such as the number of charging-discharging cycles or the number of charging-discharging swaps, are of relevance for deriving the aging and degradation of a battery system. Obtaining these indicators is very time-demanding: either a set of lab experiments is run, or the battery system is simulated using a battery simulation model. This work instead proposes a machine learning (ML) estimation of battery performance indicators derived from time series input data. For this purpose, a random forest regressor has been trained using the real data of electricity grid frequency evolution, household power demand, and photovoltaic power generation. The results obtained in the research show that the required KPIs can be estimated rapidly with an average relative error of less than 10%. The article demonstrates that the machine learning approach is a suitable alternative to obtain a very fast rough approximation of the expected behavior of a battery system and can be scaled and adapted well for estimation queries of entire fleets of battery systems.

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Improving the Power Outage Resilience of Buildings with Solar PV through the Use of Battery Systems and EV Energy Storage

Cited by 25 publications

References 27 publications

The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition

The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition

Cap. 5. Abastecimiento, suministro y demanda de energía. En: La Quinta Evaluación Nacional del Clima

Machine Learning Estimation of Battery Efficiency and Related Key Performance Indicators in Smart Energy Systems

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