A Greedy Algorithm for Optimizing Offshore Wind Transmission Topologies

This work develops a mathematical formulation to determine the combinatorial search space of Offshore Wind Transmission Optimization Problem (OWTOP). The model accounts for Capital Expenditures (CAPEX), Corrective Maintenance (CM), losses and Expected Energy Not Transmitted (EENT) determines optimal radial transmission system topology connect number Power Plants (OWPPs) shore. also considers stochastic nature wind. In this context greedy algorithm is developed capable finding globally solution location offshore substations (OSSs), sizing infrastructure topological layout. Rather than single solution, finds feasible topologies, bounded from below by solution. applied 4 test cases including one based on Belgian North Sea area. It shown outperform traditional Network Expansion (TNEP) both in computational speed quality.