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A novel optimization method of HVDC network access for offshore wind farms
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Offshore wind power is exhibiting an escalated development trend in
scaling, clustering, and deployment in deep-sea. Due to the
decentralized distribution of offshore wind farms and the large number
of onshore optional access points, the selection of a feasible topology
solution is challenging and difficult. Therefore, a novel topology
optimization method for multiple offshore wind farms integrated with
HVDC is proposed. Three indexes are presented in this paper: HVDC
submarine cable line investment cost index, HVDC short-circuit ratio
equalization index, and HVDC submarine cable network topology robustness
index. These indexes represent the economy, safety, and robustness of
the system. Secondly, the optimization model for the offshore wind power
HVDC transmission network topology is constructed by combining the
indicators mentioned above and HVDC operation constraints. Finally, the
effectiveness and practicality of the algorithm is demonstrated using
the example of an 8-node system containing land and sea switching
stations.
Title: A novel optimization method of HVDC network access for offshore wind farms
Description:
Offshore wind power is exhibiting an escalated development trend in
scaling, clustering, and deployment in deep-sea.
Due to the
decentralized distribution of offshore wind farms and the large number
of onshore optional access points, the selection of a feasible topology
solution is challenging and difficult.
Therefore, a novel topology
optimization method for multiple offshore wind farms integrated with
HVDC is proposed.
Three indexes are presented in this paper: HVDC
submarine cable line investment cost index, HVDC short-circuit ratio
equalization index, and HVDC submarine cable network topology robustness
index.
These indexes represent the economy, safety, and robustness of
the system.
Secondly, the optimization model for the offshore wind power
HVDC transmission network topology is constructed by combining the
indicators mentioned above and HVDC operation constraints.
Finally, the
effectiveness and practicality of the algorithm is demonstrated using
the example of an 8-node system containing land and sea switching
stations.
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