Renewable Energy Integration to the Grid

A Probabilistic Perspective
Herausgeber: Tomar, Anuradha; Gupta, Pankaj; Gupta, Neeraj; Prusty, B Rajanarayan

• Gebundenes Buch

Produktbeschreibung

This comprehensive book discusses uncertainty modeling of renewable energy resources and its steady state analysis. It also discusses challenges related to renewable energy integration to the grid, techniques to mitigate these challenges, and protection of power system with large renewable power integration.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 262
• Erscheinungstermin: 25. März 2022
• Englisch
• Abmessung: 162mm x 240mm x 23mm
• Gewicht: 560g
• ISBN-13: 9780367747947
• ISBN-10: 0367747944
• Artikelnr.: 62800654

Autorenporträt

Neeraj Gupta is working as an Assistant Professor in National Institute of Technology, Srinagar, JandK, India. Anuradha Tomar is currently working as Assistant Professor in Instrumentation & Control Engineering Division of Netaji Subhas University, Delhi, India. B Rajanarayan Prusty is presently working as an Assistant Professor (Sr. Grade) in the School of Electrical Engineering, Vellore Institute of Technology (VIT), Vellore. Pankaj Gupta is working with Indira Gandhi Delhi Technical University for Women, Delhi, India as Assistant Professor since 2005.

Inhaltsangabe

1. Renewable Energy Scenario of the World and Future Pattern. 2. Technical
Challenges in Renewable Generations and their Integration to Grid. 3.
Renewable Energy Integration Issues from Consumer and Utility Perceptive.
4. Voltage Issues in Power Networks with Renewable Power Generation. 5.
Reactive Power Management in Power Systems Integrated with Renewable
generation. 6. Optimum Scheduling and Dispatch Of Power Systems with
Renewable Generations. 7. Role of Stochastic Optimization for Power System
Operation and Decision Making. 8. Dependence Modeling of Multi-Site
Renewable Generations. 9. Probabilistic Steady-State Analysis of Power
Systems Integrated with Renewable Generations. 10. Risk Evaluation of
Electricity Systems with Large Penetration of Renewable Generations.