New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets and wide-area monitoring systems and forecasting. Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power system mathematical models, advanced renewable integration and system optimizations from transmission and distribution system sides. Sections cover wind, solar, gas and petroleum, making this a useful reference for all engineers interested in power system operation.
- Includes codes in MATLAB® and Python
- Provides a complete analysis of all new and relevant power system technologies
- Covers the impact on existing power system operations at the advanced level, with detailed technical insights
2. Renewable energy integration and system operation (focusing on optimization and control)
3. Modern electricity market
4. Wide area monitoring of modern power systems (Big data)
5. Modern forecasting technology
6. Multi-energy sources integration
7. Multi-system integration
Dr. Huaiguang Jiang is a Postdoctoral Researcher in National Renewable Energy Laboratory's Power System Engineering Center. He specializes in synchrophasor applications, renewable energy integration, smart grid, signal processing, time-frequency analysis, big data, and machine learning.
Dr. Yingchen Zhang is a group manager leading the Sensing and Predictive Analytics Group of Power System Engineering Center at National Renewable Energy Laboratory. He has more than 10 years of experience in the electric power industry in the areas of power systems sensing and monitoring, operation and planning, and renewable integration at NREL and CAISO. He has authored more than 60 peer-reviewed publications and holds one U.S. patent. His key areas of expertise are in sensing, measurement and data analytics in power systems' applications, advanced energy management systems for future grids.
Dr. Eduard Muljadi is a Principal Engineer at National Renewable Energy Laboratory. His research projects are in the fields of electric machines, power electronics, and power systems, with emphasis on renewable energy applications. He has been involved with many different projects for industry and utilities, including variable speed wind turbine development; electric machine design and optimization; isolated operations (battery charging, self-excitation, and water pumping); and wind power plant design (collector system equivalent), operation, dynamic model development, and system integration. He has written numerous publications, was the recipient of an IEEE Prize Paper, and a Fellow of the IEEE. He holds two patents in renewable energy power conversion for a variable speed wind turbine generator and a peak power tracker for photovoltaic applications. He collaborates with the Utility Wind Integration Group, Western Electricity Coordinating Council, Midwest Independent System Operator, and the Electric Reliability Council of Texas in the area of dynamic modelling and analysis.