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Diseño y análisis integrados de CA y CD
SCADA, EMS, PMS, ADMS y SAS basados en modelos
Controladores inteligentes y sistema de gestión
Una plataforma unificada de gemelo digitalDiseño, Operación y Automatización
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Esta presentación destacará cómo el software Star Auto-Evaluation puede mejorar el diseño, la seguridad, la confiabilidad y el funcionamiento de su sistema. Valide la configuración del dispositivo de protección para la protección del equipo, identifique la mala coordinación y corrija los problemas de selectividad de la zona, aplique las reglas de la industria para la protección y coordinación del sistema y aumente significativamente la eficiencia, la precisión y la consistencia en el diseño.
Smart Distribution Management is all about quality and reliable energy delivery to the consumers. To ensure that, distribution network utilities must be able to recognize real-time the exact state of their network for any operational violation and the exact state of consumers’ connectivity for any service interruption.
The ETAP iDLS solution leverages advanced technologies such as artificial intelligence and machine learning to provide accurate predictions of load demand and provide real-time operational insights to help grid operators make informed decisions. Additionally, iDLS integrates with existing grid infrastructure and control systems, making it easy to deploy and integrate into existing power systems. By providing a centralized load management solution, iDLS helps ensure grid stability and continuity of power supply, while minimizing the impact on connected customers and preventing blackouts and unplanned outages.
Learn how utility engineers use ETAP’s transmission & distribution system analysis and optimization solutions to optimize capacity planning and improve reliability and safety using schematic or geospatial views. ETAP Grid™ transmission system software integrates transmission network planning with detailed substation models, network topology processing, transmission system analysis, electric SCADA and real-time transmission network energy management system. For integrated distribution network analysis, system planning and operations solution it offers a progressive geospatial platform for simulating, analyzing, operating and optimizing the performance of Utility Smart Grids.
Alpine Energy Case Study – Building a model for today and the uncertain tomorrow. To maximize the benefit from our ETAP models, we developed a system that makes use of the available features to provide structure to our system models, and allow flexibility to deal with future model expansion and changes. The foundation to achieving this objective was the establishment of a naming convention and model structure that would enable the loading of models and data handling processes to be done with ease. Further enhancing our use of ETAP, we make use of templates and color coding linked to the themes to match the real world network in the modelling world. Lastly, the library was built from scratch and has now matured to a stage where new data is phased in and updated during the validation of models. Following our investment in building our models, in order to maximize the benefit from our ETAP, we developed rigorous processes to ensure accuracy and consistency in building models and managing data. Once data is updated, we utilize ETAP to run Load Flow, Fault Level and Protection Coordination studies and rely on ETAP multi-dimensional database capabilities to set financial years, switching configurations and add new proposed loads to the relevant configuration year. Combining the above features and processes, we have established a disciplined and rigorous Network Development Planning process using ETAP. This has enabled us to plan for the future in an efficient and effective manner. Our ETAP models are benchmarked against actual power system conditions by collecting historical demand data (voltages and currents) from smart meters at customer level, power quality measurement devices at distribution transformers, protection relays at substations, and our SCADA system. But this is not the end, we have developed a future roadmap for our ETAP models with plans to fully integrate with our geospatial information system and our supervisory control and data acquisition (SCADA) environment, to utilize protection coordination, and build smart scenario wizards to do the hard work for us.
Discover ETAP ADMS™, a combined planning and operation solution to manage, control, visualize, and optimize electrical power distribution networks comprising of: Geospatial Information System (GIS) Electrical Supervisory Control & Data Acquisition (SCADA) Distribution Management System (DMS) Distribution Network Applications (DNA) Outage Management System (OMS) Advanced Distribution Management System must offer flexible solutions to address the core requirement of the new digital grid to provide resiliency and reliability to the network while having the scalability to intelligently and proactively assess the outcome of the operations and contribute to the new requirements to minimize network cost and improve asset optimization. ETAP ADMS offers such an intelligent and robust decision support platform based on a unified Digital Twin of the electrical network with a collection of Geospatial-based distribution network applications integrated with mission-critical operational solutions to manage reliably and securely, control, visualize, and optimize small to vast distribution networks and smart grids.
ETAP 22 is released and available for download! The Electrical Digital Twin solution helps you design, operate, and automate safe, reliable, resilient, and compliant power systems - even more efficiently & collaboratively than before, on a single platform, facilitating fully integrated lifecycle digitization.
In this webinar, we demonstrated how easy it is to convert to ETAP 22 from various legacy software applications using the most advanced built-in data conversation tool. We also explored many of the new features & capabilities in ETAP 22 and revealed tips and tricks for the best ETAP experience.