Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

• Main Author: Lückehe, Daniel (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2017.
• Subjects: Computer science.; Computers.; Applied mathematics.; Engineering mathematics.; Sustainable development.; Computer Science.; Computing Methodologies.; Sustainable Development.; Appl.Mathematics/Computational Methods of Engineering.

Daniel Lückehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situatio...

Table of Contents:

• Solving Optimization Problems
• Wind Prediction Model
• Geographical Planning Scenarios
• Constrained Placement Optimization
• Constraint Handling with Penalty Functions
• Advanced Evolutionary Heuristics.