A significant amount of distributed photovoltaic (PV) generation is "invisible" to distribution system operators since it behind the meter on customer premises and not directly monitored by utility. The essentially adds an unknown varying negative demand system, which causes additional uncertainty in determining total load. This impacts reliability, cold load pickup, behavior modeling, hence cost operation. Thus, essential create low-complexity localized models for estimating power from...

Short-term voltage stability of power systems is governed by load dynamics, especially the proportion small induction motors prevalent in residential air-conditioners. It essential to efficiently monitor short-term real-time detailed data analytics on measurements acquired from phasor measurement units (PMUs). likewise critical identify location faults resulting issues for effective remedial actions. This paper proposes a time-series deep learning framework using 1D-convolutional neural...

The electric grid operation is constantly threatened with natural disasters and cyber intrusions. introduction of Internet Things (IoT)-based distributed energy resources (DERs) in the distribution system provides opportunities for flexible services to enable efficient, reliable, resilient operation. At same time, IoT-based DERs comes vulnerabilities requires cyber-power resiliency analysis IoT-integrated system. This work focuses on developing metrics monitoring system, while maintaining...

This work proposes a deep graph learning framework to identify, locate, and classify power, cyber, cyber power events at the distribution system level. The proposed algorithm jointly exploits spatial, temporal, node-level physical data features. developed neural network, together with autoencoder, utilizes measurements from level phasor measurement units communication network logs. spatial structure of synchrophasor is incorporated through weighted adjacency matrix. temporal by defining...

The integration of high-resolution data from phasor measurement units (PMUs) in the power grid operation provides an opportunity for enhanced situational awareness and possible decision support to system operator. Nevertheless, effective extraction valuable information PMU stream requires a analytics tool. Existing techniques rely on feature selection, labeled typically do not consider nonlinear, dynamic, stochastic nature system. In this paper, novel online algorithm is developed event...

Modeling load and voltage dependency can enhance the accuracy of system analysis (e.g., control situational awareness). Typically ZIP model is used to demand. With recent widespread deployment power electronics-based loads, traditional models are not suitable loads efficiently in smart distribution systems microgrids. Power-electronics interfaced demands new voltage-dependent behavior at point interconnection or aggregated level. This work develops a novel real-time parameter estimation...

Situational awareness and decision support for the power grid require accurately representing all components in modeling analysis tools. Accurate load is critical to understand impact of voltage-dependent behavior. The traditional constant model incapable considering Real-time data-driven system applications can be easily realized with availability synchronized data at a high reporting rate from phasor measurement units (PMUs). PMU substation buses used accurate estimation aggregated...

Renewable penetration, particularly the increasing deployment of PV by residential customers, organizations, and utilities, is leading to rapid evolution power grid. However, system’s architectural changes affect quality supply give rise issues such as harmonics, fluctuations, disturbances, etc., at point common coupling (PCC). Therefore, in this work, a network was modeled study impact systems on PCC. At first, detailed review presented for on-grid with different inverter topologies,...

Phasor Measurement Units (PMUs) are located at different geographic positions in the transmission system, generating measurement data that can be analyzed to monitor and control power grid. One utilization for such is monitoring based on machine learning <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">event analysis</i> which includes detection, localization, classification</i> . The approach developed this work exploits latent spatial...

Voltage dependency of load greatly impacts power system studies (e.g. voltage stability). The constant model generally used for analysis is inadequate and conservative to accurately represent load. Estimation these parameters in an online manner can enhance the accuracy analysis. Phasor Measurement Units (PMUs) provide high resolution grid data improved real-time wide-area monitoring control. These high-resolution PMU have made estimation ZIP possible, but may hold multiple types anomalies...

&lt;div&gt;The electric grid operation is constantly threatened with natural disasters and cyber intrusions. The introduction of Internet Things (IoTs) based distributed energy resources (DERs) in the distribution system provides opportunities for flexible services to enable efficient, reliable resilient operation. At same time, IoT DERs comes vulnerabilities requires cyber-power resiliency analysis IoT-integrated system. This work focuses on developing metrics monitoring system, while...

The present-day distribution networks are transforming from primarily passive to active due the massive integration of distributed energy resources. This changing nature calls for development static and dynamic tools that can accurately capture networks' behavior. paper presents a transmission (T& D) co-simulation tool interfaces MATPOWER OPENDSS perform snapshot analysis in an integrated manner. developed uses loose coupling protocol at point common (PCC) between networks. system operator...

Nowadays, among all renewable energy resources, the most demanding and fast-growing source is solar photovoltaic (PV) systems. In PV system, inverter configuration i s one of critical choices that can affect overall system's performance cost. Therefore, optimizing its design essential for optimal system. This study performs a techno-economic case to benchmark two 13 MW systems: system 1 (with string configuration) 2 central configuration). Both P V systems have same capacity land area...