Wind Turbine Operation in Electric Power Systems: Advanced Modeling
Wind Turbine Operation in Electric Power Systems: Advanced Modeling
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In this review of Wind Turbine Operation in Electric Power Systems: Advanced Modeling the reviewer finds a detailed, technical reference aimed at engineers and graduate students who need a rigorous treatment of wind turbine integration. The bottom line: this book is for professionals who require data-driven explanation of capacity trends and modeling methods, because it presents historical capacity figures and practical context that clarify the rapid growth of wind turbine generator systems. It reads like a field-focused textbook rather than a casual primer, and its emphasis on real-world capacity statistics helps place modeling choices in context.
Key Features
- Historical capacity context: Provides real-world figures showing total WTGS capacity and regional distribution, which helps readers understand the scale and pace of adoption.
- European focus: Details EU capacity numbers and leading countries, offering useful case studies for comparative system studies.
- Differentiated sizing data: Notes changes in rated power over time and the mean rated power sold, enabling planning for typical machine sizes.
- Policy-driven growth analysis: Describes how renewable energy sales policy in the EU accelerated installations, useful for policy-aware modeling decisions.
- Technical orientation: Written with engineers in mind, the text supports advanced modeling rather than introductory concepts.
Who It's For
The book is best suited to power systems engineers, researchers, and advanced students focused on modeling wind turbine behavior within large grids, especially those studying European systems or policy impacts. It benefits readers who already have a grounding in electric power systems and need concrete historical capacity data to support simulations and planning.
Readers seeking an introductory overview of wind energy for general audiences or a buyer's guide to consumer turbines should look elsewhere; the tone and content are technical and assume prior knowledge of power system fundamentals.
Pros & Cons
Pros
- Solid presentation of global and EU capacity figures gives useful context for modeling and planning.
- Explicit country-level data for Germany, Spain, and Denmark supports comparative analysis and case studies.
- Notes the trend in rated power over time, making it easier to select realistic generator sizes for simulations.
Cons
- Focused on capacity and modeling context rather than step-by-step design guidance, so it may feel dense to less technical readers.
Specifications
| Title | Wind Turbine Operation in Electric Power Systems: Advanced Modeling |
| Author | Zbigniew Lubosny |
| Global WTGS capacity (Autumn 2002) | 27 600 MW |
| EU WTGS capacity (Autumn 2002) | 20 500 MW |
| Largest country capacity | Germany 10 650 MW |
| Common rated power noted | 2 MW standard, mean sold in 2000 930 kW |
| Noted high penetration example | Danish system ~30% WTGS share |
Our Verdict
For engineers and advanced students who need a fact-rich, modeling-oriented resource, this book is a worthwhile investment because it ties real capacity numbers to modeling decisions and policy context. It is not a light read, but its practical data and European case details give good value to anyone doing grid integration studies.
Frequently Asked Questions
Is this book suitable for beginners?
No, it assumes prior knowledge of electric power systems and is aimed at engineers and graduate-level readers.
Does it include real capacity data?
Yes, it cites global and EU capacity figures from Autumn 2002 and country-level breakdowns for Germany, Spain, and Denmark.
Will it help with grid integration modeling?
Yes, the emphasis on rated power trends and policy-driven growth provides useful context for modeling wind turbine generator systems.
Editor's Take
A technical, data-driven reference for engineers and advanced students that ties real capacity figures and rated power trends to wind turbine integration and modeling, offering strong value for grid studies.

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