no code implementations • 4 Apr 2024 • Ran Wei, Arindam K. Das, Payman Arabshahi, Daniel S. Kirschen
Severe weather events such as floods, hurricanes, earthquakes, and large wind or ice storms can cause extensive damage to electrical distribution networks, requiring a multi-day restoration effort.
no code implementations • 8 Jul 2022 • Bosong Li, Baosen Zhang, Daniel S. Kirschen
This paper discusses how a cyber attack could take advantage of torsional resonances in the shaft of turbo-generators to inflict severe physical damage to a power system.
no code implementations • 10 Feb 2022 • Lane D. Smith, Daniel S. Kirschen
We show that extending this tariff to consumers with flexible demand would reduce the utility's net demand ramp rates during peak hours.
no code implementations • 14 Jan 2022 • Yao Long, Daniel S. Kirschen
Optimal Volt/VAR control (VVC) in distribution networks relies on an effective coordination between the conventional utility-owned mechanical devices and the smart residential photovoltaic (PV) inverters.
no code implementations • 28 Oct 2021 • Yao Long, Ryan T. Elliott, Daniel S. Kirschen
This paper proposes a distributed control strategy based on the dynamic formation of coalitions to coordinate a large number of PV inverters for voltage regulation.
no code implementations • 3 Sep 2021 • Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang
There is an opportunity in modern power systems to explore the demand flexibility by incentivizing consumers with dynamic prices.
no code implementations • 15 May 2021 • Lane D. Smith, Daniel S. Kirschen
Changes in the profile of prices in wholesale electricity markets prompt utilities to redesign their tariffs and adjust their time-of-use periods to ensure a more adequate cost recovery.
no code implementations • 20 Apr 2020 • Qingchun Hou, Ning Zhang, Daniel S. Kirschen, Ershun Du, Yaohua Cheng, Chongqing Kang
Data-driven techniques provide a promising way to identify security rules that can be embedded in economic dispatch model to keep power system operating states secure.
no code implementations • 3 Apr 2018 • Aaron Jaech, Baosen Zhang, Mari Ostendorf, Daniel S. Kirschen
This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors.