Title : 
Optimal Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach
         
        
            Author : 
González-Longatt, Francisco M. ; Wall, Peter ; Regulski, Pawel ; Terzija, Vladimir
         
        
            Author_Institution : 
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
         
        
        
        
        
            fDate : 
3/1/2012 12:00:00 AM
         
        
        
        
            Abstract : 
The increasing development of large-scale offshore wind farms around the world has caused many new technical and economic challenges to emerge. The capital cost of the electrical network that supports a large offshore wind farm constitutes a significant proportion of the total cost of the wind farm. Thus, finding the optimal design of this electrical network is an important task, a task that is addressed in this paper. A cost model has been developed that includes a more realistic treatment of the cost of transformers, transformer substations, and cables. These improvements make this cost model more detailed than others that are currently in use. A novel solution algorithm is used. This algorithm is based on an improved genetic algorithm and includes a specific algorithm that considers different cable cross sections when designing the radial arrays. The proposed approach is tested with a large offshore wind farm; this testing has shown that the proposed algorithm produces valid optimal electrical network designs.
         
        
            Keywords : 
genetic algorithms; power cables; transformer substations; wind power plants; cables; electrical network; modified genetic algorithm approach; offshore wind farm; optimal electric network design; radial arrays; transformer substations; Biological cells; Encoding; Investments; Optimization; Substations; Wind farms; Wind turbines; Electric distribution system; genetic algorithm; offshore wind farm; optimization;
         
        
        
            Journal_Title : 
Systems Journal, IEEE
         
        
        
        
        
            DOI : 
10.1109/JSYST.2011.2163027