Distributed Optimal Control of Large-Scale Wind Farm Clusters

Grab the future of wind-energy engineering with Distributed Optimal Control of Large-Scale Wind Farm Clusters, a definitive guide by Qiuwei Wu, Sheng Huang, Juan Wei, Pengda Wang, Canbing Li, and Vladimir Terzija. This authoritative volume marries rigorous theory with practical insight to help engineers, researchers, and grid operators tackle the challenges of coordinating many turbines across utility-scale and coastal wind farm clusters worldwide.

Begin with a compelling overview of why distributed optimal control is essential for modern power systems—boosting reliability, maximizing power capture, and smoothing grid integration across Europe, Asia, North America, and beyond. The book clearly explains foundational concepts before advancing to scalable architectures for multi-site coordination, communication-aware algorithms, and performance-driven optimization under real-world constraints.

Readers will find a balanced mix of analytical methods and implementation-focused content: control strategies designed for both onshore and offshore farms, scalable coordination schemes that reduce communication burdens, and validation through realistic simulation and field-inspired scenarios. Emphasis on practicality makes the work immediately applicable to renewable project planning, wind-farm operation, and smart-grid integration efforts.

Whether you’re developing next-generation wind clusters, improving regional grid stability, or pursuing academic research, this book delivers a concise roadmap from mathematical models to actionable control solutions. Add Distributed Optimal Control of Large-Scale Wind Farm Clusters to your professional library today and equip your team to optimize performance, enhance resilience, and accelerate the global transition to renewable energy.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.