통합된 AC & DC 설계 & 해석
모델 중심의 SCADA, EMS, PMS, ADMS & SAS
우수한 기능의 제어기 & 관리 시스템
A Unified Digital Twin Platform설계, 작동 및 자동화
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Discover the new Feeder Hosting Capacity module provided in ETAP 2024 to support solar PV systems being integrated into modern distribution networks. Incorporating PV arrays into existing feeders presents several challenges, including overvoltage, backflow, thermal overloading, protection mis-coordination, and increased harmonic distortion. To address these issues, it is essential to perform feeder hosting capacity (FHC) studies, which assess the optimal amount and placement of PV installations. By leveraging ETAP 2024's Feeder Hosting Capacity module, engineers and utilities can confidently integrate renewable energy sources into their grids while ensuring optimal performance and sustainability. The three key analysis options provided in ETAP FHC, Nodal HC, Stochastic HC and Impact Analysis are described in detail, along with how smart inverters are addressed.
The webinar is an opportunity to discover how the features in this release of GridCode contribute to better and faster grid code compliance evaluation in an automated fashion, including real and reactive power capability, and harmonic distortion and resonance. By carefully evaluating the impact of new generation on the grid, you’ll learn how to define and produce compliance studies that help protect the system, enable renewable energy growth, and promote cost-effective grid development.
ETAP 2024 has transformed how we assess DC arc flash incident energy for battery energy storage systems (BESS). In this video, you’ll learn about two of the cutting-edge features in ETAP 2024 that will redefine your approach to BESS Arc Safety.
This webinar will focus on time-saving tips and in the new ETAP 2024 Unified Digital Twin application to streamline your workflows, improve modelling accuracy, and expedite project delivery.
Introducing ETAP's new AI-based Natural Language Search! This feature makes interacting with ETAP as easy as having a conversation. Instead of navigating complex menus or using tricky commands, you can now ask questions and get answers using simple, everyday language. With advanced AI and natural language processing, ETAP’s Natural Language Search helps engineers, operators, and planners quickly find critical information, run analyses, and gather insights. This makes the software easier to use and speeds up your work. Whether you need detailed system data, want to set up simulations, or access documentation, this feature simplifies everything, letting you focus on making decisions. By integrating this intuitive search tool, ETAP is making powerful power system analysis more accessible and user-friendly for everyone.
Join us in a webinar that focuses on new ways to elevate your ETAP software experience, highlighting the significant enhancements you’ll find in ETAP 2024 to boost your productivity. With the new ETAP 2024 Release, we are revolutionizing our software with ETAP PowerRibbon™ - An intuitive user interface that matches the power and precision of ETAP.
Explore our 3D electrical cabinet design software: Harness the power of 3D using a professional intuitive interface, Automate panel mounting and assembly and Reduce design, manufacturing and startup costs.
Discover the new modules and features of ETAP 2024 in a presentation from ETAP CEO, Tanuj Khandelwal to get a high level overview and demonstrations of the impressive array of integrated power analysis modules, model-driven automation and situationally intelligent operation solutions provided in this release. Learn why ETAP 2024 marks a significant advancement in our commitment to delivering innovative technology and industry best practices, to keep your power systems safe, reliable, efficient, sustainable and compliant with the highest industry standards.
In this webinar, we'll provide a comprehensive overview of ETAP eTraX, a powerful solution designed for the design, analysis, optimization and operation of both AC and DC rail traction systems.
Edge control solution for microgrids & distributed energy resources. Mission critical operations need a reliable power system that operates by supplementing the utility grid in parallel mode (tied) or autonomous island mode in a clean, optimized, low cost and resilient manner.
The variable nature of renewable energy introduces power quality concerns, including frequency and voltage control, that may negatively impact the reliable performance of a power system. Grid codes, interconnection, or evacuation criteria must be followed during the proposed system design and continue to maintain compliance under grid-connected operation.
The fault response characteristics of synchronous generators are inherently governed by their physical attributes and construction. In contrast, the fault response traits of Inverter-Based Resources (IBRs) are intricately tied to manufacturer-specific control schemes and settings. This intricacy adds complexity to accurately representing IBR behavior during fault conditions, particularly given the rapid advancements in inverter technology and the diverse control strategies employed by manufacturers.
Washington State University collaborates with IIT and ETAP on developing benchmark test feeder systems for the DOE UI-ASSIST project, showcasing ETAP's capabilities through the design and modeling of the IIT Rural Benchmark and modified IEEE 123-node systems, with validation conducted across MATLAB/SIMULINK and ETAP for various distribution studies.
Energy opportunity lies in leveraging emerging technologies like distributed energy resources analytics, blockchain, and AI to enhance energy efficiency, demonstrated by a 9% reduction in energy consumption and increased equipment life at Block 5 of Al Shaheen Oil Field through ETAP's power and demand management, network self-healing capabilities, and integration of new equipment and services.
Fuel cell and electrolyzer systems, employed from small-scale to grid-level applications, serve various grid support functions and energy optimization objectives, relying on intelligent energy management systems (EMS) and control strategies, yet face challenges due to the absence of standardized distributed energy resources sizing and lack of high-fidelity circuit model data, which will be addressed in the upcoming presentation, alongside discussions on cell-level fuel cell modeling in ETAP and its application in micro-grid optimization for net zero energy-emission adhering to relevant standards/grid-codes.
To meet increasing load demands on Phu Quy island, plans involve installing additional wind and solar power plants, yet due to renewable energy's dependence on weather conditions, the diesel power plant remains crucial, prompting a study on the optimal size of Battery Energy Storage Systems (BESS) to support renewable energy integration and optimize costs.
Incorporating Distributed Generation (DG) into distribution systems poses challenges due to the variability of renewable sources and fault occurrences, necessitating real-time monitoring and forecasting. Using ETAP-RT software, this study simulates a DG system's real-time behavior, including four events like grid contingencies and DG integration, offering insights for network planning and operation.
This comprehensive study, initiated in 2019 and spanning evaluations from 2020 to 2023, examines the evolving landscape of power generation, focusing on the transition from fuel-based dominance to anticipated renewable energy prominence by 2030, employing worst-case operational scenarios to assess system resilience and efficiency, supported by ETAP's robust multi-dimensional database structure and dynamic model integration, with upcoming insights into model behavior and tool utility aimed at enhancing understanding and preparation for future power generation challenges and opportunities.
Discover the Red Sea Utility Grid's cutting-edge design in Saudi Arabia, featuring four off-grid microgrids ensuring high reliability through redundancy and advanced technology, each showcasing a meticulous balance between solar energy and backup generators, with the ETAP microgrid controller (eMGC) optimizing operations and facilitating collaborative control for stability, including innovative strategies like soft energization for black starts and transformer inrush current avoidance.