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PROJECT TITLE :

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

ABSTRACT:

The wind farm layout optimisation downside 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 capability limitation, the cable sectional area ought to be carefully selected to satisfy the system operational demand and this constraint ought to be thought of during the MST formulation method. Hence, ancient MST algorithm cannot ensure a minimal cable investment layout. During this study, a replacement method to optimise the offshore wind farm cable connection layout is presented. The algorithm is formulated primarily based on the concept of MST and additional improved by adaptive particle swarm optimisation algorithm. Since the situation of the offshore substation (OS) features a important impact on each the layout formulation and total value of cables, the optimised location of OS is expected situated together with the optimised cable association layout. The proposed methodology is compared with the MST and dynamic MST strategies and simulation results show the effectiveness of the proposed method.


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