Unprecedented winter storms that hit across Texas in February 2021 have caused at least 69 deaths and 4.5 million customer interruptions due to the wide-ranging generation capacity outage record-breaking electricity demand. While much remains be investigated on what, how, why such wide-spread power outages occurred Texas, it is imperative for broader macro energy community develop insights policy making based a coherent electric grid model data set. In this paper, we collaboratively release...

The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with U.S. becoming epicenter of COVID-19 cases since late March. As begins to gradually resume economic activity, it is imperative for policymakers and power system operators take a scientific approach understanding predicting impact on electricity sector. Here, we release first-of-its-kind cross-domain open-access data hub, integrating from across all existing wholesale markets case, weather, cellular...

Abstract The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change. With deepening penetration of renewable resources, reliable operation becomes increasingly challenging. In this paper, present PSML, first-of-its-kind open-access multi-scale time-series dataset, to aid in development data-driven machine learning (ML)-based approaches future grids. dataset synthesized from joint transmission and distribution...

To address the issues of insufficient control parameter identification accuracy and convergence speed during grid connection distributed power sources, a method for Virtual Synchronous Generator (VSG) converter model considering integration electric vehicles (EVs) based on dynamic particle swarm optimization algorithm is proposed. By constructing VSG inverter suitable sources EV charging systems, analyzing interactions between active reactive loops under scenarios, selecting parameters...

The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with U.S. becoming epicenter of COVID-19 cases since late March. As begins to gradually resume economic activity, it is imperative for policymakers and power system operators take a scientific approach understanding predicting impact on electricity sector. Here, we release first-of-its-kind cross-domain open-access data hub, integrating from across all existing wholesale markets case, weather, cellular...

This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at end users level, it has been recognized as key engineering challenge to redesign relays The technical difficulty lies how set up logic so that they could accurately detect faulty conditions. performance traditional protection settings are limited by insufficient fault current either due limit electronics or high...

This paper introduces a new framework of deep reinforcement learning based protective relay design in power distribution systems with many distributed energy resources (DERs). With increasing penetration electronically-interfaced resources, conventional overcurrent relays' performance is rendered less effective due to the two-way uncertainties flow patterns. In this paper, machine learning-based that designed for adaptively deciding threshold action proposed. The particular algorithm used an...

Four kinds of poly (pyrrole methine) derivatives were synthesized. Nonlinear optical absorption studies these polymers are investigated at 800 nm with the Z-scan technique and femtosecond laser pulses. These show tunable conversion from saturable (SA) to reverse (RSA). The SA RSA depends on not only intensity but also polymer structure. Electronic donor methyl groups in pyrrole methine chain enhance electron density distribution backbone polymer, electron-rich thienyl group improves...

In recent years, distributed photovoltaic facilities and energy storage are widely connected to a low-voltage distribution network, which makes the topology of network change faster, online identification monitoring impedance each branch becoming more difficult. With widespread installation new automation terminals smart electricity meters, technical gap power data collection has been filled, state perception ability improved, support for further exploration provided. Therefore, method based...

Abstract Unprecedented winter storms that hit across Texas in February 2021 have caused at least 4.5 million customers to experience load shedding due the wide-ranging generation capacity outage and record-breaking electricity demand. While much remains be investigated on what, how, why such wide-spread power outages occurred Texas, it is imperative for broader research community develop insights based a coherent electric grid model data set. In this paper, we collaboratively release an...

This paper presents OpenGridGym, an open-source Python-based package that allows for seamless integration of distribution market simulation with state-of-the-art artificial intelligence (AI) decision-making algorithms. We present the architecture and design choice proposed framework, elaborate on how users interact highlight its value by providing multiple cases to demonstrate use. Four modules are used in any simulation: (1) physical grid, (2) mechanisms, (3) a set trainable agents which...

Over the past several years electric power sector has been challenged by a number of extreme events around globe. Significant societal and economic shocks were due to rapid spread COVID-19 world. In addition pandemic, there have weather disruptions electricity sector, such as February 2021 Texas outage 9 p.m. nine-minute blackout event in India.

The traditional calculation method of 5G low-power safety communication module intelligent distribution terminal feeder has high cost and poor load balancing control ability. This paper proposes a automation technology for power terminals based on secure module, the distributed parameter analysis model is constructed, constraint parameters are analyzed by lumped line simulation method. Through difference traveling waves at both ends line, dynamic characteristic fused, values extracted, such...

This paper presents the branch aircraft's digital assembly process design and simulation system, illustrates key technologies characteristic of simulation. Take advantage these technologies, is designed successfully by computer in virtual environment.

In electromagnetic transient (EMT) simulation, 80-97% of the time is used to solve network equations. Traditional approaches equation are through sparse LU factorization, which inherently sequential. this paper, we propose a new approach equations hierarchical low-rank approximation inverse conductance matrix. The key observation that interaction between two groups nodes, where nodes within each group close other but belonging different far apart, can be approximated by Taking advantage such...

This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at end users level, it has been recognized as key engineering challenge to redesign relays system. Conceptually, these are discrete ON/OFF devices each branch and node network. The technical difficulty lies how set up logic so that protection could successfully differentiate heavy load faulty operating conditions....