Search Results for author: Ali Menati

Found 6 papers, 1 papers with code

Physical and Economic Viability of Cryptocurrency Mining for Provision of Frequency Regulation: A Real-World Texas Case Study

no code implementations16 Mar 2023 Rayan El Helou, Ali Menati, Le Xie

Demand flexibility plays a pivotal role in modern power systems with high penetration of variable energy resources.

Decision Making

Optimization of Cryptocurrency Miners' Participation in Ancillary Service Markets

no code implementations13 Mar 2023 Ali Menati, Yuting Cai, Rayan El Helou, Chao Tian, Le Xie

One of the most significant bottlenecks for the scalable deployment of such computation is its energy demand.

Modeling and Analysis of Utilizing Cryptocurrency Mining for Demand Flexibility in Electric Energy Systems: A Synthetic Texas Grid Case Study

no code implementations6 Jul 2022 Ali Menati, Kiyeob Lee, Le Xie

We perform our simulations using a synthetic 2000 bus ERCOT grid model, along with added cryptocurrency mining loads on top of the real-world demand profiles in Texas.

How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage?

1 code implementation1 Jun 2022 Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie

The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand.

Competitive Prediction-Aware Online Algorithms for Energy Generation Scheduling in Microgrids

no code implementations24 May 2022 Ali Menati, Sid Chi-Kin Chau, Minghua Chen

In this paper, we exploit the structure of information in the prediction window to design a novel prediction-aware online algorithm for energy generation scheduling in microgrids.

Decision Making Scheduling

A Preliminary Study on the Role of Energy Storage and Load Rationing in Mitigating the Impact of the 2021 Texas Power Outage

no code implementations25 Nov 2021 Ali Menati, Le Xie

It also conducts a preliminary study on using energy storage and load rationing to mitigate rotating blackout's adverse impact on the grid.

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