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New Technologies for Power System Operation and Analysis
1st Edition - October 21, 2020
Editors: Huaiguang Jiang, Yingchen Zhang, Eduard Muljadi
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 0 1 6 8 - 8
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 0 1 6 9 - 5
New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets… Read more
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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
1. Power system basic
Mathematical model
Power flow computation
Static security analysis
2. Renewable energy integration and system operation (focusing on optimization and control)
Fundamentals of wind power and solar power
Wind Power
Solar Power
Large scale transmission network
Frequency control
Wind inverter Control
Stability control
Distribution network
PV inverter control through optimal power flow
Voltage control
3. Modern electricity market
Wholesale electricity market
Bid-based, security-constrained, economic dispatch with nodal price
Risk management
Electricity market in different countries
Retail electricity market
Electricity market experience
Capacity market
4. Wide area monitoring of modern power systems (Big data)
Synchrophasor measurement devices and network
State estimation in Modern Power Systems
Wide area monitoring and anomaly analysis
5. Modern forecasting technology
Renewable energy forecasting
Wind forecasting
Solar forecasting
Load forecasting
State forecasting
6. Multi-energy sources integration
Gas-power integration
Petroleum-power integration
Water-power integration
High-speed train integration
7. Multi-system integration
Energy Internet
Communication network integration
Transportation network integration
Internet of things integration
Social Energy
- No. of pages: 388
- Language: English
- Published: October 21, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128201688
- eBook ISBN: 9780128201695
HJ
Huaiguang Jiang
Dr Jiang, research engineer and a research leader (PI and Co-PI) in National Renewable Energy Laboratory (NREL).
Leading the direction of artificial intelligence and advanced control areas, and helping NREL to receive tens of millions of funding from US department of energy (DOE). He has more than 40 papers, 2 books, 2 software, and 3 US patents. He is an IEEE senior member with more than 10 years research experience in energy and related areas and serving many session/committee chairs in TOP IEEE PES conferences such as ECCE, ISGT, and DTPI.
Affiliations and expertise
South China University of Technology, ChinaYZ
Yingchen Zhang
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.
Affiliations and expertise
Group Manager, National Renewable Energy LaboratoryEM
Eduard Muljadi
Eduard Muljadi (Fellow, IEEE) received the Ph.D. degree in electrical engineering from the University of Wisconsin, Madison, WI, USA, in 1987. He was a Faculty with the California State University, Fresno, CA, USA, from 1988 to 1992. From 1992 to 2017, he was with the National Renewable Energy Laboratory, Golden, CO, USA. And, in January 2018, he was with Auburn University, Auburn, AL, USA, as the James J. Danaher Distinguished Professor. He holds patents in power conversion for renewable energy. His research interests include electric machines, power electronics and power systems, and renewable energy. Dr. Muljadi is a Member of Eta Kappa Nu and Sigma Xi, and an Editor for the IEEE Transactions on Energy Conversion. He is a Founding Member and the past Chair of Renewable Energy Machines and Systems and the Chair of the Advanced Pumped Storage Hydropower Modeling Task Force within the PES.
Affiliations and expertise
Principal Engineer, National Renewable Energy Laboratory