Resumen de Applications of transient stability constrained optimal power flow in systems with high penetration of renewable energy and storage
Transient Stability Constrained Optimal Power Flow (TSCOPF) models emerge as a tool to optimize the operation of power systems ensuring an economic operation, steady state operating constraints, and a transiently stable solution under a set of severe incidents. This dissertation proposes several improved TSCOPF models for modern transmission grids with high renewable generation and storage systems, evaluating them in real electrical power systems.
This thesis advances in a simultaneous discretization TSCOPF formulation that calculates the frequency, the power flow and the voltages at each bus of the system and at each sample time. The model is suitable for the representation of non-synchronous renewable generation equipped with synthetic inertia and voltage regulator controls, energy storage systems and detailed load models.
This work addresses the implementation and test of non-synchronous renewable generation and energy storage system models in the TSCOPF formulation. It is proposed a model to represent non-synchronous renewable generation with reactive power support for voltage dips, synthetic inertia and fault ride-through capability. Moreover, a fast response storage model is implemented in a Multi Contingency (MC)-TSCOPF formulation, calculating its optimal operation for a set of severe incidents in a single optimization problem. This thesis also evaluates the performance of various integration methods and the feasibility of using variable integration time steps in simultaneous discretization TSCOPF formulations.
The proposed formulations are applied to two IEEE test and three real systems: the isolated transmission grid of Tenerife island, the North-West Spanish power system (an area of the Iberian Peninsula System with high penetration of non-synchronous renewable generation), and the Lanzarote-Fuerteventura islands transmission grid (including a Flywheel Energy Storage System in operation). Results show the efficiency of the proposed formulation.
