Electric Grid Expansion Planning with High Levels of Variable Generation

Hadley, Stanton W.; You, Shutang; Shankar, Mallikarjun; Liu, Yilu

doi:10.2172/1238017

Cited by 21 publications

(11 citation statements)

References 40 publications

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“…Power grid reliability and security is important for societies [1][2][3][4][5][6][7][8][9][10]. The increase of renewable generation, such as wind and solar, and other resources including energy storage and controllable load, are changing how power grids are being operated [3,[11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The development of advanced measurement and control systems has significantly improved power system reliability, resiliency, and efficiency .…”

Section: Introductionmentioning

confidence: 99%

A Cyber-secure Framework for Power Grids Based on Federated Learning

You¹

2020

Preprint

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Cyber security is important of power grids to ensure secure and reliable power supply. This paper presented a cyber- secure framework for power grids based on federated learning. In this framework, each entity, which may be a distribution/transmission/generation service provider or even a customer, can contribute to the overall system immunity and robustness to cyber-attacks, while not required to share local data, which may have privacy, legal and property concerns. The main idea is to use the federated learning framework to share the knowledge learned from local data instead of sharing power grid data itself. With complete knowledge learned from all data from the power grid, each entity is better positioned to defend the cyber-attacks and improve power grid resiliency. Future work on applying this federated learning based framework in power systems is also discussed.

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Section: Introductionmentioning

confidence: 99%

A Cyber-secure Framework for Power Grids Based on Federated Learning

You¹

2020

Preprint

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“…Due to the decreasing price, wind and photovoltaic (PV) generation penetration is increasing many power systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Similar to other renewable generation, PV usually runs at the maximum power point, providing no frequency response to the power grid.…”

Section: Introductionmentioning

confidence: 99%

Solar PV Frequency Control in the U.S. EI and ERCOT Interconnections — Case Studies and Recommendations

You¹

2020

Preprint

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This paper studied the solar PV frequency control in the U.S. Eastern Interconnection (EI) and Texas Interconnection (ERCOT) systems. The studied frequency control approaches include droop frequency control, inertia control, and droop-inertia-combined frequency control. The control effects of different frequency controls of PV in the EI and ERCOT are studied using actual high PV penetration interconnection grid models to provide suggestions to the future revision of future PV frequency control standards.

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“…Renewable generation is increasing in many power grids [1][2][3][4][5][6], influencing both operation and planning [7][8][9][10][11][12][13][14][15]. Since the increase of renewable penetration reduces system inertia and governor response, power system frequency response has become a major concern of high renewable power systems [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems

You¹

2020

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This letter introduces a frequency response characteristic (FRC) curve and its application in high renewable power systems. In addition, the letter presents a method for fast frequency response assessment and frequency nadir prediction without performing dynamic simulations using detailed models. The proposed FRC curve and fast frequency response assessment method are useful for operators to understand frequency response performance of high renewable systems in real time.

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Electric Grid Expansion Planning with High Levels of Variable Generation

Cited by 21 publications

References 40 publications

A Cyber-secure Framework for Power Grids Based on Federated Learning

A Cyber-secure Framework for Power Grids Based on Federated Learning

Solar PV Frequency Control in the U.S. EI and ERCOT Interconnections — Case Studies and Recommendations

Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems

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