Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms

Rodrigo Teixeira Pinto, Sílvio Fragoso Rodrigues, Edwin Wiggelinkhuizen, Ricardo Scherrer, Pavol Bauer and Jan Pierik
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Rodrigo Teixeira Pinto: Electrical Power Processing Group, Technical University of Delft, Mekelweg 4, Delft 2628 CD, The Netherlands
Sílvio Fragoso Rodrigues: Electrical Power Processing Group, Technical University of Delft, Mekelweg 4, Delft 2628 CD, The Netherlands
Edwin Wiggelinkhuizen: Wind Energy Group, Energy Research Centre of the Netherlands (ECN), Westerduinweg 3, Petten 1755 LE, The Netherlands
Ricardo Scherrer: Bids, Proposals & Sales Operations, Alcatel-Lucent, Av. Marginal Direita da Anchieta 400, São Paulo 04182-901, Brazil
Pavol Bauer: Electrical Power Processing Group, Technical University of Delft, Mekelweg 4, Delft 2628 CD, The Netherlands
Jan Pierik: Wind Energy Group, Energy Research Centre of the Netherlands (ECN), Westerduinweg 3, Petten 1755 LE, The Netherlands

Energies, 2012, vol. 6, issue 1, 1-26

Abstract: For achieving the European renewable electricity targets, a significant contribution is foreseen to come from offshore wind energy. Considering the large scale of the future planned offshore wind farms and the increasing distances to shore, grid integration through a transnational DC network is desirable for several reasons. This article investigates a nine-node DC grid connecting three northern European countries — namely UK, The Netherlands and Germany. The power-flow control inside the multi-terminal DC grid based on voltage-source converters is achieved through a novel method, called distributed voltage control (DVC). In this method, an optimal power flow (OPF) is solved in order to minimize the transmission losses in the network. The main contribution of the paper is the utilization of a genetic algorithm (GA) to solve the OPF problem while maintaining an N-1 security constraint. After describing main DC network component models, several case studies illustrate the dynamic behavior of the proposed control method.

Keywords: HVDC transmission; voltage-source converters; power electronics; DC networks; offshore wind energy; control theory; optimal power flow; genetic algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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