Electric Utility
Electric power systems are comprised of cyber and physical components that are crucial to grid resiliency. Data from both components should be collected when modeling power systems: data from communication networks and intrusion detection systems; physical telemetry from sensors and field devices.
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Los datos empleados en el análisis del estudio fueron obtenidos del sistema SAP del Departamento Comercial de la Compañía Nacional de Electricidad (CNEL EP) Unidad de Negocio Esmeraldas. Estos datos consisten en registros originales de consumo mensual de energía eléctrica facturada (expresada en kilovatios-hora, kWh) durante un periodo de 25 meses (enero de 2021 a enero 2023). Estos registros pertenecen a 136218 clientes aproximadamente de del sector residencial de la provincia de Esmeraldas.
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This document is a supplementary file to the our article entitled “A Wireless Charging System Based on a DR-IPT to Power a UAV from Distribution Poles” which is published in IEEE Transactions on Industry Applications journal. This documents presents the result dataset regarding the optimizations performed to determine optimum parameters for domino resonant inductive power transfer system under several case studies.
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This comprehensive dataset comprises multiple files, encompassing essential information on various aspects of power systems. It includes the active and reactive power consumption data for both the 33- and 136-bus test systems, along with the resistance and reactance values of the distribution lines, and the network structure.
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This is the full ChatGPT transcript for the IEEE Power Engineering Letter "On the Potential of ChatGPT to Generate Distribution Systems for Load Flow Studies using OpenDSS". The abstract for the letter is as follows:
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Audio with melody "Pervim delom samoleti" ("Airplaines first" in Russian) record playback was implemented with electric drive
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Audio with the voice record playback of Yuri Gagarin "Poehali" ("Go" in Russian) was implemented with electric drive
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This dataset is created by an experimental setup of a DC-PV -Battery-based grid-connected distributed generation system. This dataset is split into four parts such as irradiance, and temperature, which were measured by a meteorological station, and lastly, PV output current and voltage acquired by an inverter. Furthermore, we can have a chance to obtain the output PV power by multiplying current and voltage. The dataset has 288 elements for one day as a time series since the station obtains the data within five minutes. However, the whole dataset has three days of data with 864 elements.
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This data provides the simulation parameters and the optimal results of the comprehensive active distribution network (ADN) expansion planning model that includes both wire alternatives (WAs) and nonwire alternatives (NWAs). The primary motivation is to find the optimal sizing and siting of NWAs while considering WAs such that the ADN’s dynamically growing electrical load and electrical vehicle (EV) demand are met while maintaining network limits.
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