Title :
Optimal power flow of VSC-based multi-terminal DC networks using genetic algorithm optimization
Author :
Rodrigues, S. ; Pinto, R. Teixeira ; Bauer, P. ; Wiggelinkhuizen, E. ; Pierik, J.
Author_Institution :
Electr. Power Process. Group (EPP), Delft Univ. of Technol., Delft, Netherlands
Abstract :
Europe is rapidly expanding its offshore wind energy capacity. Hence, the construction of a multi-terminal dc (MTDC) infrastructure to accommodate the generated electrical energy brings several advantages, but also comes with many challenges. Operation and control of a MTDC network is one of these challenges. This paper explains the operation and control of MTDC networks. Moreover, a study is carried on how to optimally operate and control an offshore VSC-based MTDC network. It focus on the development plans for an offshore transnational grid in the North Sea. A genetic algorithm (GA) will be employed to obtain an optimal power flow inside the offshore network. The MTDC grid is composed of 19 nodes, interconnecting 9 OWFs to 5 European countries. The optimal power flow results obtained from the genetic algorithm are tested in a simulation model for three case studies.
Keywords :
genetic algorithms; load flow control; optimal control; power generation control; power grids; wind power plants; MTDC network control; VSC; genetic algorithm; multiterminal DC network; offshore transnational grid; offshore wind energy capacity; optimal power flow control; optimization; Genetic algorithms; Power conversion; Production; Sociology; Statistics; Voltage control; Genetic algorithm; MTDC network; Offshore wind; Optimal power flow; VSC-HVDC; direct voltage control;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
DOI :
10.1109/ECCE.2012.6342643