The electric power grid wide-area monitoring system (WAMS) has been extended from the transmission to distribution level. As first WAMS deployed at level, frequency network FNET/GridEye uses global positioning system-time-synchronized monitors, called disturbance recorders, capture dynamic behaviors. In this paper, latest developments of monitor design and state-of-the-art data analytics applications are introduced. Its innovations uniqueness also discussed. Thanks its low cost, easy...

As synchrophasor data start to play a significant role in power system operation and dynamic study, processing analysis capability are critical wide-area measurement systems (WAMSs). The frequency monitoring network (FNET/GridEye) is WAMS that collects from hundreds of disturbance recorders at the distribution level. previous FNET/GridEye center limited by its storage computation power. Targeting scalability, extensibility, concurrency, robustness, distributed analytics platform proposed...

Real-time situational awareness tools are of critical importance to power system operators, especially during emergencies. The availability electric has become a linchpin most post-disaster response efforts, because public and private sector services depend upon it. Knowledge the scope extent facilities impacted, as well duration their dependence on backup power, enables emergency officials plan for contingencies provide better overall response. Based measurement data acquired by frequency...

This paper investigates the latency of system integrity protection schemes (SIPSs) and proposes a bounded model communication delay. To be specific, SIPSs can divided into wide-area substation-area protection. For former, data buffering phasor concentrators automatic switching synchronous optical network/synchronous digital hierarchy are utilized to limit regional backbone networks, respectively; then, delay is modeled as bounded, instead average or stochastic in literature. latter, network...

Electrification of transportation has drawn increasing attention for the sake low-pollution emission and high-fuel economy. Scientific scale forecasting electric vehicles (EVs) is fundamental to promote EVs' integration power industries. To capture evolution pattern, a system dynamics (SD) approach proposed simulate forecast EVs. The SD model can integrate various factors quantify their relationship by comprehensive reasoning. Causal loop diagrams are designed describe between variables,...

Due to its economical and environmental benefits society industry, integrating solar power is continuously growing in many utilities Independent System Operators (ISOs). However, the intermittent nature of renewable energy brings new challenges system operators. One key resolve this problem have a ubiquitously efficient output forecasting system, so as help enhance reliability, improve quality, achieve better generation scheduling formulate superior bidding strategies market. This paper...

Inter-area oscillation in a large power systems draws much attention because it might severely influence system security and reduce transmission capability. The recent large-scale deployment of phasor measurement units (PMUs) enables online measurement-based monitoring analysis on inter-area oscillatory modes. However, the nonstationary characteristics measurements become obstacles for analysis. This work proposes multivariate empirical mode decomposition (MEMD), multi-channel time frequency...

The use of massive open online courses (MOOCs) for teacher professional development (TDP) has increased in the past decades. This study explored key factors that influenced teachers' course completion as a significant indicator their success TPD MOOC. Six influencing (self-efficacy, interaction with curriculum content and peers, satisfaction, overall score, TPACK self-assessment) were identified from perspectives general specific factors. Employing learning model was constructed hypothesis...

Integration of renewable generation sets high requirements for real-time situational awareness power systems. FNET/GridEye, a synchrophasor measurement network wide-area system monitoring has been assisting realtime and helping improve reliability in many grids 14 years. To aid operators confronting challenges from growing renewables, FNET/GridEye continues increasing its accuracy enhancing functionalities. This paper provides an overview on the mostrecent application improvements that help...

As the penetration rate of distributed generators (DG) in active distribution networks (ADNs) gradually increases, it is necessary to accurately estimate operating state ADNs ensure their safe and stable operation. However, high randomness volatility generator output loads have increased difficulty estimation. To solve this problem, a method proposed for forecasting-aided estimation (FASE) ADNs, which integrates optimal extreme random forest based on maximum average energy concentration...

Power systems are continuously exposed to various disturbances, such as generation trip, line etc. These variations may initiate oscillations that could jeopardize the system stability if not well damped. The distribution-level phasor monitoring provides a low cost solution collect frequency, phase angle, and voltage magnitude data during oscillations. By these parameters, dynamic behavior of be observed. In this paper, some sample oscillation cases, excited by different types presented...

Frequency monitoring network (FNET/GridEye), a wide-area system (WAMS) at distribution level, is known to be able reveal many insights of power grid dynamics through the real time phasor measurement collected by frequency disturbance recorders (FDRs). A large number FDR units are currently deployed in several grids worldwide. This paper focuses on inertial responses various bulk over world based observation FNET/GridEye. It first this kind research extended main discloses response...

The Electric Network Frequency (ENF) analysis of a digital recording is two-step process. First, an ENF extraction algorithm applied to the and second step comparing extracted target sequence subsequences contained in grid reference database. In this paper, new comparison created that can remove effects oscillator errors from comparisons. Another study have better understanding phenomenology by which sinusoidal signals find their way onto recordings. addition, uses both frequency phase angle...

Wide area measurement systems (WAMS) could provide enough information to estimate the electromechanical modes which characterize dynamic properties of power grid. Utilizing measured synchrophasor data from frequency monitoring network (FNET/GridEye), this paper proposes an approach oscillation and damping regardless ring-down or ambient condition in real-time environment. The empirical mode decomposition (EMD) is used detrend signal, auto-regressing moving-average (ARMA) model describe time...

It has been demonstrated in previous studies that nation-wide or largely synchronous societal activities have impacts on the power grid frequency responses. This paper investigates NFL Super Bowl games as an example to evaluate influence of synchronized human system using data collected from a wide-area monitoring network (FNET/GridEye). The statistics and plots several fluctuation phenomena relevant analysis are presented. Featured characteristics drawn detected during discussed.

Visualization and analysis of power system synchrophasor measurement data helps to understand improve the operation a grid. On basis frequency voltage angle measurements collected by widely-distributed disturbance recorders (FDRs), visualization tools have been implemented for network (FNET) system. Also, some work has done on transmission-level magnitude. However, since distribution level magnitude is usually considered be local, few researches paid attention visualize it or analyze its...

With the significant growth of installed capacity wind power, variability energy production puts greater stress on power system operation. In this situation, more rapid regulation reserve is required, which escalates scarcity balancing service. A combined and market model proposed in previous work by introducing into market, but mainly concentrates bidding strategy its relative revenue side producer. This paper focuses evaluating new operation simulating a day-ahead unit commitment problem,...

In order to improve the capability of utilizing big data and business intelligence in power industry, this paper presents a comprehensive solution through building an enterprise-level platform based on OSIsoft PI system support driven applications analytics. The has features scalability, real time, service-oriented architecture high reliability. Compared traditional platforms significant benefit innovative is that end users can use with global model drive self-customized services rather than...