New Technologies for Power System Operation and Analysis

New Technologies for Power System Operation and Analysis

1st Edition - October 21, 2020

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  • Editors: Huaiguang Jiang, Yingchen Zhang, Eduard Muljadi
  • eBook ISBN: 9780128201695
  • Paperback ISBN: 9780128201688

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Description

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.

Key Features

  • 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

Readership

Modern power system engineers, technology analysers, professional researchers and engineers

Table of Contents

  • 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

Product details

  • No. of pages: 388
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: October 21, 2020
  • Imprint: Academic Press
  • eBook ISBN: 9780128201695
  • Paperback ISBN: 9780128201688

About the Editors

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

Postdoctoral Researcher, National Renewable Energy Laboratory’s Power System Engineering Center

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 Laboratory

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

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