Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems

11/22/2020
by   Avishan Bagherinezhad, et al.
0

The high penetration of transportation electrification and its associated charging requirements magnify the interdependency of the transportation and power distribution systems. The emergent interdependency requires that system operators fully understand the status of both systems. To this end, a visualization tool is presented to illustrate the interdependency of battery bus transit and power distribution systems and the associated components. The tool aims at monitoring components from both systems, such as the locations of electric buses, the state of charge of batteries, the price of electricity, voltage, current, and active/reactive power flow. The results showcase the success of the visualization tool in monitoring the bus transit and power distribution components to determine a reliable cost-effective scheme for spatio-temporal charging of electric buses.

READ FULL TEXT
research
04/29/2021

MoonLight: A Lightweight Tool for Monitoring Spatio-Temporal Properties

We present MoonLight, a tool for monitoring temporal and spatio-temporal...
research
05/18/2019

Distribution Electricity Pricing under Uncertainty

Distribution locational marginal prices (DLMPs) facilitate the efficient...
research
08/17/2022

Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI

The effective representation, precessing, analysis, and visualization of...
research
02/22/2022

Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City

Electrical outages continue to occur despite technological innovations a...
research
11/22/2019

Down for Failure: Active Power Status Monitoring

Despite society's strong dependence on electricity, power outages remain...
research
09/01/2023

Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems

This PhD thesis thoroughly examines the utilization of deep learning tec...

Please sign up or login with your details

Forgot password? Click here to reset