Distributed Coordinated Control of Offshore Doubly Fed Wind Turbine Groups Based on the Hamiltonian Energy Method

Bing Wang, Qiuxuan Wu, Min Tian and Qingyi Hu
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Bing Wang: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Qiuxuan Wu: School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Min Tian: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Qingyi Hu: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Sustainability, 2017, vol. 9, issue 8, 1-14

Abstract: To support doubly fed wind turbine (DFWT) groups in offshore wind farms, this paper proposes a distributed coordinated control based on the Hamiltonian energy theory. This strategy provides global stability to closed-loop systems and facilitates output synchronization. First, a model of a DFWT is realized as a port-controlled Hamiltonian system with dissipation (PCH-D), and the single-machine model is expanded into a multi-machine model of a wind turbine group. Then, by using the design methodology of distributed Hamiltonian systems, a distributed coordinated control is presented for a multi-machine PCH-D system. Furthermore, to investigate failures in wind turbine groups, they are divided into two cases: the separation of failed machines from the system, and the grid-connected operation of failed machines after a fault. These cases correspond to undirected and directed graphs, respectively. Finally, simulations prove that distributed coordinated control enhances the reliability and autonomy of wind turbine groups in offshore wind farms.

Keywords: distributed coordinated control; doubly fed wind turbine (DFWT) group; port-controlled Hamiltonian system with dissipation (PCH-D); topological structure; offshore farm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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