4.5 Article

Optimisation for offshore wind farm cable connection layout using adaptive particle swarm optimisation minimum spanning tree method

Journal

IET RENEWABLE POWER GENERATION
Volume 10, Issue 5, Pages 694-702

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2015.0340

Keywords

wind power plants; power cables; trees (mathematics); particle swarm optimisation; offshore installations; substations; offshore wind farm cable connection layout optimisation problem; adaptive particle swarm optimisation; minimum spanning tree method; mathematical problem; weighted undirected graph; cable current-carrying capacity limitation; cable sectional area selection; system operational requirement; MST formulation process; offshore substation location; layout formulation

Funding

  1. Norwegian Centre for Offshore Wind Energy (NORCOWE) from the Research Council of Norway (RCN) [193821/S60]

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The wind farm layout optimisation problem is similar to the classic mathematical problem of finding the minimum spanning tree (MST) of a weighted undirected graph. Due to the cable current-carrying capacity limitation, the cable sectional area should be carefully selected to meet the system operational requirement and this constraint should be considered during the MST formulation process. Hence, traditional MST algorithm cannot ensure a minimal cable investment layout. In this study, a new method to optimise the offshore wind farm cable connection layout is presented. The algorithm is formulated based on the concept of MST and further improved by adaptive particle swarm optimisation algorithm. Since the location of the offshore substation (OS) has a significant impact on both the layout formulation and total cost of cables, the optimised location of OS is expected to be found together with the optimised cable connection layout. The proposed method is compared with the MST and dynamic MST methods and simulation results show the effectiveness of the proposed method.

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