Description
The growing complexity of today’s power grids – driven by decentralised generation, power electronics and highly dynamic operating states – is stretching conventional protection concepts to their limits. This dissertation develops a practice-oriented methodology for fully automated, systemwide protection coordination. Its core comprises two innovative assessment methods:
1. A simulation-based Protection Security Assessment uncovers previously hidden vulnerabilities.
2. A fuzzy-logic approach renders expert knowledge digitally usable and yields robust metrics for multivariate grid states.
Building on these methods, three meta-heuristics – Genetic Algorithm, Particle Swarm Optimisation and Tabu Search – are analysed and refined. Coupled with a generic data model and a “single source of truth”, they form an end-to-end tool chain that links planning and operation, globally optimises protection settings and enables adaptive relay functions. Realistic grid models demonstrate that selectivity, speed and dependability can be significantly improved while engineering effort is reduced. The work thus lays the foundation for the next generation of digital protection systems.
Reviews
There are no reviews yet.