Evolutionary Wind Turbine Placement Optimization with Geographical Constraints

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...

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Main Author: Lückehe, Daniel. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2017.
Edition:1st ed. 2017.
Subjects:
Online Access:https://doi.org/10.1007/978-3-658-18465-0
Table of Contents:
  • Solving Optimization Problems
  • Wind Prediction Model
  • Geographical Planning Scenarios
  • Constrained Placement Optimization
  • Constraint Handling with Penalty Functions
  • Advanced Evolutionary Heuristics.