As the distribution grid moves toward a tightly monitored network, it is important to automate analysis of enormous amount data produced by sensors increase operators situational awareness about system. In this paper, focusing on microphasor measurement unit (μPMU) data, we propose hierarchical architecture for monitoring and establish set analytics sensor fusion primitives detection abnormal behavior in control perimeter. Due key role μPMU devices our architecture, an optimal placement with...

In this paper, the performance limits of faults localization are investigated using synchrophasor data. The focus is on a non-trivial operating regime where number Phasor Measurement Unit (PMU) sensors available insufficient to have full observability grid state. Proposed analysis uses Kullback Leibler (KL) divergence between distributions corresponding different fault location hypotheses associated with observation model. This shows that most likely locations concentrated in clusters buses...

Because electric power distribution systems are undergoing many technological changes, concerns emerging about additional vulnerabilities that might arise. Resilient cyber-physical (CPSs) must leverage state measures and operational models interlink their physical cyber assets, to assess global state. Here, the authors describe a viable process of abstraction obtain this holistic exploration tool by analyzing data from micro-phasor measurement units (μPMUs) monitoring supervisory control...

Volt-VAR and Volt-Watt functionality in photovoltaic (PV) smart inverters provide mechanisms to ensure system voltage magnitudes power factors remain within acceptable limits. However, these control functions can become unstable, introducing oscillations voltages when not appropriately configured or maliciously altered during a cyberattack. In the event that portion of PV distribution grid are proposed adaptation scheme utilizes remaining stably-behaving other Distributed Energy Resources...

The deployment of high-fidelity, high-resolution sensors in distribution systems will play a key role enabling increased resiliency and reliability the face changing generation landscape. In order to leverage full potential such rich dataset, it is necessary develop an analytics framework capable both detecting analyzing patterns within events interest. This work details foundation infrastructure. Here, we present algorithm for events, form edges voltage magnitude time series data, approach...

In this paper, we conduct a data-driven experimental analysis on single-phase-to-neutral fault at distribution grid in Riverside, CA using data from five level phasor measurement units, a.k.a, Micro-PMUs. Of particular interest is to extract the time-line during fault. With high resolution, precision, and time synchronization of Micro-PMUs, hypothesis about optimal operation protection devices each period examined, followed by exploring success coordination between lateral fuse main feeder...

In this paper, we conduct a data-driven experimental analysis of lightening-induced contingencies at distribution grid in Riverside, CA, using data from three level phasor measurement units, a.k.a, Micro-PMUs. The was collected during four hours rainy day with several lightening strikes on October 24, 2016. Of particular interest to analyze the impact and response 7.5 MW PV farm. Due use Micro-PMUs, including one an outlying area, are able distinguish system-wide events across...

Real-time PV generation information is crucial for distribution system operations, in particular switching state-estimation, and management of the voltage at point provision. However, most behind-the-meter solar installations are not monitored. Typically, only available to operator installed capacity. Our main purpose this study estimate using data from smart meters.

The increasing penetration of DER with smart-inverter functionality is set to transform the electrical distribution network from a passive system, fixed injection/consumption, an active hundreds distributed controllers dynamically modulating their operating setpoints as function system conditions. This transition being achieved through standardization grid codes and/or international standards. DER, however, are unique in that they typically neither owned nor operated by utilities and,...

An accurate network model is essential for performing detailed analysis of a power system. The quality many distribution models very diverse, especially low voltage (LV) networks. To help identify areas where the incomplete or incorrect, Micro Phasor Measurement Units (μPMUs) can be integrated into network. These μPMUs would work together, with trusted cloud back-end basis this paper to determine how data collected by used, and what calculated from recognize inaccurate may need resurveyed....

The increased integration of photovoltaic (PV) systems in distribution grids reduces visibility and situational awareness for utilities because the PV systems' power production is usually not monitored by them. To address this problem, a method called Contextually Supervised Source Separation (CSSS) has been recently adapted real-time estimation aggregate active generation from net reactive measurements at point radially configured grid (e.g., substation). In its original version,...

With the growing penetration of converter-interfaced generation in power systems, dynamical behavior these systems is rapidly evolving. One challenges with increased number equations, as well required numerical timestep, involved simulating systems. Within this work, we explore use continuous-time echo state networks a means to cheaply, and accurately, predict dynamic response subject disturbance for varying system parameters. We show an application predicting frequency dynamics following...

This study describes applications for micro-phasor measurement unit (μPMU) technology that address emerging issues in the distribution system due to stresses from dependencies on high DER penetration and microgrids. Lessons deployment of μPMU at a major utility microgrid are shared here, offering opportunities enhanced analytics inform command control methods manage impact these events networks.

Conventional cyber-security intrusion detection systems monitor network traffic for malicious activity and indications that an adversary has gained access to the system. The approach discussed here expands idea of a traditional system within electrical power systems, specifically distribution networks, by monitoring physical behavior grid. This is achieved through use high-rate Phasor Measurement Units (PMUs), alongside SCADA packets analysis, purpose discrete control devices. In this work...

This paper presents a small signal stability analysis of grid-forming inverter when dynamics transmission lines and nodal voltages are considered or neglected. Electromagnetic transients usually ignored in traditional power systems studies due to separation time-scales. However, the former assumption may have different implications case dominated systems, requires further study. In this paper, we perform an eigenvalue virtual synchronous machine connected infinite bus under several operating...

This paper investigates the suitability of Ornstein-Uhlenbeck process, driven by various Lévy processes, for load modeling at distribution network level. An indepth description outlining procedure estimating required parameters is given. Both statistical properties simulated processes and its auto-correlation compared to that field measured data demonstrate proposed methodology. The development such stochastic models facilitated measures obtained from micro-synchrophasors (μPMU's). these...

The deployment of DER with smart-inverter functionality is increasing the controllable assets on power distribution networks and, consequently, cyber-physical attack surface. Within this work, we consider use reinforcement learning as an online controller that adjusts Volt/Var and Volt/Watt control logic to mitigate network voltage unbalance. We specifically focus case where a network-aware has compromised subset single-phase DER, causing large show how deep successfully learns policy...

The impact of Phasor Measurement Units (PMUs) for providing situational awareness to transmission system operators \ has been widely documented. Micro-PMUs (uPMUs) are an emerging sensing technology that can provide similar benefits Distribution System Operators (DSOs), enabling a level visibility into the distribution grid was previously unattainable. In order support deployment these high resolution sensors, automation data analysis and prioritizing communication DSO becomes crucial. this...

There is significant interest in smart grid analytics based on phasor measurement data. One application estimation of the Thevenin equivalent model from local measurements. In this paper, we propose methods using data to track parameters at substations delivering power both an unbalanced and balanced feeder. We show that for grid, it possible estimate each instant time only instantaneous For grids, a method well-suited online applications when highly temporally-correlated over short window...