Ensuring System Reliability: Distributed Energy Resources and Bulk Power System Considerations

Vartanian, Charlie; Bauer, Rich; Casey, Leo; Loutan, Clyde; Narang, David; Patel, Vishal

doi:10.1109/mpe.2018.2863059

Cited by 17 publications

(14 citation statements)

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“…However, the current limit of semiconductor-based devices is much lower than the electromechanical devices. For instance, the overloading current of Silicon devices is 1.5-2 times of the rated current for several seconds, and Silicon-Carbide and Gallium-Nitride technologies can supply 2-3 times for 3-5 seconds in [64]. Therefore, advanced protection algorithms and devices should be developed in order to detect and clear the fault and/ or separate the faulty regions in a sufficient timeframe.…”

Section: ) Protection Issuesmentioning

confidence: 99%

An Overview on the Reliability of Modern Power Electronic Based Power Systems

Peyghami

Pálenský

Blaabjerg

2020

IEEE Open J. Power Electron.

133

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Renewable energy resources are becoming the dominating element in power systems. Along with de-carbonization, they transform power systems into a more distributed, autonomous, bottom-up style one. We speak of Smart Grid and Microgrid when distributed energy resources take over. While being a means to improve technical and financial efficiency, planning, operations, and carbon footprint, it is these new technologies that also introduce new challenges. Reliability is one of them, deserving a new way of describing and assessing system and component reliability. This paper introduces a new reliability framework that covers these new elements in modern power systems. It can be seen that reliability assessment of modern power systems also requires introducing local reliability concepts as well as incorporating different electromagnetic/mechanical stability issues.

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Section: ) Protection Issuesmentioning

confidence: 99%

An Overview on the Reliability of Modern Power Electronic Based Power Systems

Peyghami

Pálenský

Blaabjerg

2020

IEEE Open J. Power Electron.

133

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“…DNs were designed to send power outwards, not to accept significant net infeed from local generation. High DER penetration in low voltage (LV) DNs will affect voltage, phase balance, direction of energy flows, protection mechanisms and load profiles, requiring enhanced operations coordination at the transmission/distribution interfaces [15]. Most DERs are not visible to the system operator and do not follow a dispatch signal.…”

Section: B Pft Implementation and Geographic Information Systemmentioning

confidence: 99%

Transaction-Oriented Dynamic Power Flow Tracing for Distribution Networks—Definition and Implementation in GIS Environment

Vega‐Fuentes

Yang

Lou

et al. 2021

IEEE Trans. Smart Grid

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There is a growing interest from owners of distributed energy resources (DERs) to actively participate in the energy market through peer-to-peer (P2P) energy trading. Many strategies have been proposed to base P2P energy trading on. However, in those schemes neither the costs of assets usage nor the losses incurred are so far taken into account. This paper presents a transaction-oriented dynamic power flow tracing (PFT) platform for distribution networks (DNs) implemented in a geographic information system (GIS) environment. It introduces a new transaction model that quantifies the use of the DN, apportions the losses and unlocks a flexible use of the surplus generation enabling that prosumers can adopt simultaneously different mechanisms for participation in energy trading, maximizing renewable energy usage. The platform is also helpful for future distribution system operators (DSOs) to overcome the status invisibility of low voltage (LV) DNs, determine who makes use of the assets, debit the losses on them and explore the effects from new connections. A case study is conducted over the IEEE European LV Test Feeder. The tool provides a clear, intuitive, temporal and spatial assessment of the network operation and the resulting power transactions, including losses share and efficiency of DERs.

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“…In other part of the United States, the power systems are managed by Independent System Operators (ISO) and Regional Transmission Organizations (RTO), facilitating open access to transmission. In particular, ISO operates the transmission system independently, and foster competition for electricity generation among the wholesale market participants [66], [67]. The extent of ISOs are visualized by Figure 9.…”

Section: Grid Overview Of the United Statesmentioning

confidence: 99%

“…These ancillary services include reserves, frequency regulation (grid needs to be operated at 60Hz in the United States), and demand response. Though the vital sections of the United States operate under more traditional market structures, two-thirds of the nation's electricity load is served in RTO regions [66]- [68].…”

Section: Grid Overview Of the United Statesmentioning

confidence: 99%

A Qualitative Study on the United States Internet of Energy: A Step Towards Computational Sustainability

2020

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The burgeoning growth of Big Data not only matures and improves the data management efficiency and useful information extraction techniques, but also motivates the computational science researchers to come up with a new method or solution that can be repurposed for problems across the domain. Computational Sustainability joins this movement for a transferrable computational technique for sustainable development and a better future. Internet-of-energy (IoE)-leveraging IoT to smart grids associated with advanced analytics-is one of the prominent efforts in this regard. This paper presents a qualitative analysis on the elements of the energy and power management ecosystem in the United States. This qualitative study includes the Grid Overview of the United States; Weather and Climate and its impact on the entire energy generation and consumption dynamics; Peak Load Forecasting and its techniques and burgeoning challenges; Variable Renewable Energy, its reliability challenges and how we can take advantage of this variability; Commodity Prices and its criticality; Energy Disaggregation and its impact on consumptionawareness; and Generation Expansion and Decision Analysis. Besides, IoE integration, associated tradeoffs, challenges, research opportunities and transferable computational techniques are addressed in this communication. Furthermore, schematics and quantitative analysis are presented in support of this study.INDEX TERMS Computational sustainability, Internet of Things, smart grid, Internet of Energy, big data, transferable computational techniques.

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Ensuring System Reliability: Distributed Energy Resources and Bulk Power System Considerations

Cited by 17 publications

References 0 publications

An Overview on the Reliability of Modern Power Electronic Based Power Systems

An Overview on the Reliability of Modern Power Electronic Based Power Systems

Transaction-Oriented Dynamic Power Flow Tracing for Distribution Networks—Definition and Implementation in GIS Environment

A Qualitative Study on the United States Internet of Energy: A Step Towards Computational Sustainability

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