An Energy Management System for Joint Operation of Small-Scale Wind Turbines and Electric Thermal Storage in Isolated Microgrids

Su, Jinshun; Dehghanian, Payman; Vergara, Benedict; Kapourchali, Mohammad Heidari

doi:10.1109/naps52732.2021.9654467

Cited by 9 publications

(1 citation statement)

References 19 publications

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“…TESS are energy storage devices with the ability to store energy in the form of heat for later use [17]. TESS have even been used in combination with WTGs and other renewable energy sources [18], [19]. The use of TESS has even been a solution for remote communities in Alaska [17], [20].…”

Section: Case 4: Dispatchable Load Coordinationmentioning

confidence: 99%

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

VanderMeer,

Green,

Darbali-Zamora

et al. 2023

IEEE Access

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St. Mary's is a remote, isolated, Alaska microgrid that relies on diesel generation. Recently, a wind turbine generator (WTG) with a rated capacity just below system peak load was installed to help reduce diesel fuel consumption. With this WTG, St. Mary's could significantly reduce their fuel consumption and run significant amounts of the year without any diesel generators (DG) online ("diesels-off"). However, wind power needs to be covered with spinning reserve capacity (SRC) and regulating reserves. Since there are no other sources, this needs to come from the DG, which does not allow them to turn offline and reduces the amount of potential fuel savings. The Alaska Village Electric Cooperative (AVEC) has invested in a "Grid Bridging System" (GBS), an energy storage system meant primarily to provide SRC and regulating reserves to allow the DG to go offline, scheduled to be installed in 2023. This paper uses the open source Python-based software tool Micro Grid Renewable Integration Dispatch and Sizing (MiGRIDS) to investigate the benefits and impacts of several methods to reduce or replace SRC and regulating requirements on the DG. These include optimizing SRC requirements, adding a GBS to the system, using short-term wind forecasting and using a fast acting controllable thermal energy storage system (TESS). The GBS resulted in the greatest fuel savings. Optimizing SRC and short-term wind forecasting resulted in a small decrease in fuel consumption on their own, but in combination with a GBS resulted in a much greater reduction. Finally, the TESS was was able to regulate a poorly controllable WTG so that it behaved similar to a highly controllable WTG, at some expense to wind import.INDEX TERMS microgrids, renewable energy, energy storage, grid forming inverters

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Section: Case 4: Dispatchable Load Coordinationmentioning

confidence: 99%

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

VanderMeer,

Green,

Darbali-Zamora

et al. 2023

IEEE Access

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Renewable-dominated mobility-as-a-service framework for resilience delivery in hydrogen-accommodated microgrids

Su,

Zhang,

Dehghanian

et al. 2024

International Journal of Electrical Power & Energy Systems

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Microgrids and Resilience: A Review

Hamidieh

Ghassemi

2022

IEEE Access

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Supervised learning methods have been found to exhibit inductive biases favoring simpler features. When such features are spuriously correlated with the label, this can result in suboptimal performance on minority subgroups. Despite the growing popularity of methods which learn from unlabeled data, the extent to which these representations encode spurious features is unclear. In this work, we explore the impact of spurious features on Self-Supervised Learning (SSL) for visual representation learning. We first empirically show that commonly used augmentations in SSL can cause undesired invariances in the image space, and illustrate this with a simple example. We further show that classical approaches in combating spurious correlations, such as dataset re-sampling during SSL, do not consistently lead to invariant representations. Motivated by these findings, we propose LATETVG to remove spurious information from these representations during pretraining, by regularizing later layers of the encoder via pruning. We find that our method produces representations which outperform the baselines on several benchmarks, without the need for group or label information during SSL.

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An Energy Management System for Joint Operation of Small-Scale Wind Turbines and Electric Thermal Storage in Isolated Microgrids

Cited by 9 publications

References 19 publications

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

Renewable-dominated mobility-as-a-service framework for resilience delivery in hydrogen-accommodated microgrids

Microgrids and Resilience: A Review

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