Collector System Layout Optimization Framework for Large-Scale Offshore Wind Farms

Abstract

A new collector system layout optimization (CSLO) framework for large-scale offshore wind farms (OWFs) is proposed in this paper. First, a self-adaptive allocation method is proposed to determine the location of substations and to allocate each turbine to its geographically closest substation. And then, in order to minimize the annualized investment cost, maintenance cost, and levelized cable losses cost, while satisfying a group of operational constraints, the proposed CSLO model is formulated as a mixed-integer nonlinear programming problem, which is solved by the Benders decomposition algorithm. Multiple substations and cable types are also considered in the model. The validity and effectiveness of the proposed methods are demonstrated in two OWF cases consisting of 30 and 100 units.