Minimizing Synchronous Inertia Support BESS Investment by Implementing Risk-Based Probabilistic OHL Rating

Increasing network flexibility to uncertainties is a highly desirable characteristic to all Network Operators’ (NOs) especially with the rapid demand growth and high penetration of renewable energy resources (RES). This drives the need to define more flexible smart grid solutions to enhance network reliability at critical contingencies at am optimized expenses instead of traditional expensive solutions. Battery Energy Storage Systems (BESS) is an efficient solution to provide decentralized support to network flexibility as well as supporting system inertia, however, a main binding constraint is their high costs. One main solution to this is to define a pool of flexible solutions and optimize their utilization at the optimum costs and network reliability benefits. To that extent, this paper proposes a methodology to optimize the potential BESS investment by implementing probabilistic OHL rating (PLR). The paper’s study investigates the potential BESS reduction costs by the application of PLR and quantify the ageing risk associated with PLR. Hence, it aims to identify the optimum excursion risk for an OHL network with BESS.