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Integrated AC & DC Design & Analysis
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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.
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.
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.
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.
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.
In transmission systems grappling with the unpredictability of renewable energy sources, ETAP's Operator Training Simulator (OTS) provides a cutting-edge solution, leveraging digital twin technology and real-time data to anticipate system performance uncertainties, as demonstrated through its integration into Web Aruba's operations, enhancing grid resilience and efficiency amidst renewable energy variability.
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.
The proposed methodology aims to seamlessly integrate an optimization algorithm with etapPY, minimizing the number of PMUs required, strategically placing them within the electrical network, and enhancing overall system observability to empower network operators with advanced analytical tools for comprehensive monitoring and analysis.
Thisproject highlights ETAP's collaboration with Fauji Fertilizer Company Limited (FFC) of Pakistan to replace their existing Electrical Load Management System (ELMS) with ETAP’s iLS™ (Intelligent Load Shedding System), integrating IEDs for real-time monitoring and load calculation, utilizing ETAP’s digital-twin platform and model-driven solution to effectively meet load shedding requirements and enhance system reliability.