[go: up one dir, main page]

Jdeed et al., 2018 - Google Patents

Smart grid modeling and simulation—Comparing GridLAB-D and RAPSim via two Case studies

Jdeed et al., 2018

View PDF
Document ID
10762883011606467457
Author
Jdeed M
Sharma E
Klemenjak C
Elmenreich W
Publication year
Publication venue
2018 IEEE International Energy Conference (ENERGYCON)

External Links

Snippet

One of the most important tools for the development of the smart grid is simulation. Therefore, analyzing, designing, modeling, and simulating the smart grid will allow to explore future scenarios and support decision making for the grid's development. In this …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
    • Y04S40/20Information technology specific aspects
    • Y04S40/22Computer aided design [CAD]; Simulation; Modelling
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/76Computer aided design [CAD]; Simulation; Modelling
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
de Souza Silva et al. A comparative performance of PV power simulation software with an installed PV plant
Sinha et al. Review of software tools for hybrid renewable energy systems
Haghi et al. Nonlinear modeling of temporal wind power variations
Pöchacker et al. The microgrid simulation tool RAPSim: Description and case study
Ramli et al. A comparison of renewable energy technologies using two simulation softwares: HOMER and RETScreen
Samaan et al. Combined transmission and distribution test system to study high penetration of distributed solar generation
Moffet et al. Review of open-source code power grid simulation tools for long-term parametic simulation
Nguyen-Huu et al. Operation orchestration of local energy communities through digital twin: A review on suitable modeling and simulation approaches
CN105790261A (en) Random harmonic flow calculation method
Akhtar et al. Reliability analysis and economic prospect of wind energy sources incorporated microgrid system for smart buildings environment
Gokcol et al. A comprehensive economical and environmental analysis of the renewable power generating systems for Kırklareli University, Turkey
Lopez-Lorente et al. Evaluating voltage estimation in a nanogrid using digital twin models and real-time smart meter data
Sharma et al. Renewable energy systems energy modeling using deep learning techniques
Al-Sheikh et al. An overview of simulation tools for renewable applications in power systems
Jdeed et al. Smart grid modeling and simulation—Comparing GridLAB-D and RAPSim via two Case studies
Nafil et al. Identification the internal parameters for mono-crystalline solar module using Matlab-simulation and experimental ascertainment
Steffen et al. Generation of realistic Smart Meter Data from Prosumers for future energy system scenarios
Le et al. Annual Degradation Rate Analysis of Mono-Si Photovoltaics Systems in Thailand Using the Mixed Effects Method
Folorunso et al. Dispatchable generation analysis and prediction by using machine learning: A case study of South Africa
Nikzad et al. Estimating aggregate capacity of connected DERs and forecasting feeder power flow with limited data availability
Bozorg et al. A derivative-persistence method for real time photovoltaic power forecasting
Gao Adequacy assessment of electric power systems incorporating wind and solar energy
Sheriff et al. PVTOOLBOX: A Comprehensive Set of PV System Components for the Matlab/Simulink Environment
Abdollahy et al. PNM smart grid demonstration project from modeling to demonstration
Trashchenkov et al. Kernel density estimation for stochastic modeling of PV power output