Collector System Topology for Large-Scale Offshore Wind Farms Considering Cross-Substation Incorporation

Power-from-Shore Optioneering for Integration of Offshore Renewable Energy in Oil and Gas Production

“…There is remarkable work as well in the evaluation of multiple techniques for offshore transmission optimization. In [20], a thorough review is made of the multiple techniques for both clustering as well as the planning of offshore substations (OSS) deployment within an OWF, including such as K-Means and Fuzzy C-Means (FCM), Particle Swarm Optimization (PSO), and Genetic Algorithms (GA). Two-Phase Clark and Wright's is also used to optimize the cable selection across the proposed layout.…”

Application of Association Rule Mining in offshore HVAC transmission topology optimization

“…In the figure, OWPPs are shown as red dots, OSS as black dots, the PCC as a green dot, HV transmission lines in black and MV lines in red. The OSS is optimally placed in each topology via (10), which minimizes the cost of all connected cabling. In [22] set theory is used to build on {B} and to develop a binary string based description of the exhaustive combinatorial search space {H}.…”

“…Among metaheuristics, Genetic Algorithms (GAs) have been the most frequently applied [15]- [20], but are by no means the only one. Within the literature a wide range of alternative algorithms have been investigated including particle swarm [7], minimal spanning tree [8], simulated annealing [9], modified Clark and Wright's savings algorithm [10] and modified bat algorithm [11].…”

“…For example in [8] simulated wind profiles and quadratic losses are included but reliability is not considered. In [10], reliability is prioritized to investigate cross-substation incorporation but only a few predefined topologies are assessed. In [15] no reliability is included and wind speed is approximated by a Weibull distribution.…”

A Techno-Economic Analysis of meshed Topologies of Offshore Wind HVAC Transmission

“…Albeit, at the expense of any guarantee on optimality. To this end, Genetic Algorithms (GAs) have been the most frequently applied heuristic [8], [9], [12]- [16], but a wide range of alternative algorithms have also been investigated within the literature, including particle swarm [20], simulated annealing [21], modified bat algorithm [22], modified Clark and Wright's savings algorithm [23], minimal spanning tree [24], branch exchange [30] and path search [31]. In addition to heuristics, classical mathematical formulations have received attention.…”