ANN-Based Fault Type and Location Identification System for Autonomous Preventive-Restoration Control of Complex Electrical Power System Plants

Abstract

In modern electrical power systems (EPS) an increasing importance of generating nodes, such as: pump storage plants or combined power plants including gas-turbine as well as steam-turbine generators, is observed. Such objects posess composed but highly redundant structure offering a significant opertion flexibility e.g. the adjacent start-up system use in a fault case in the dedicated start-up system, or two generating sets co-operation with one step-up transformer. The essential features of these objects are: very good power regulation abilities, short start-up time and internal structure modification possibility. The above features determine the growing importance of such objects in the EPS operation control process, aiming at the optimal operation mode as well as fast and effective restoration after a system fault occurrence, which may be ensured by the adaptive protection and control system (APCS) - sufficiently reliable both in normal operating conditions and in a fault case. One of the basic functional modules included in APCS is the autonomous preventive restoration control module (APRCM), developing the object control rules and preventing it from a fault or limiting possible fault effects via fast restoration of generation and regulation abilities.