Title :
An intelligent load shedding mechanism for maintaining frequency stability
Author :
Tofis, Yiannis ; Hadjidemetriou, Lenos ; Kyriakides, Elias
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
Abstract :
This paper describes an intelligent Load Shedding (LS) mechanism that aspires to maintain the power system frequency within the regulated limits. First, the system´s parameters and time constants are identified through an online learning scheme using the actual measurement of the frequency. Then, the system is adaptively controlled based on these identified parameters, providing the amount of load that should be shed in a distributed and selective manner, in order to maintain the frequency stability of the system.
Keywords :
frequency stability; learning (artificial intelligence); load shedding; power system stability; LS mechanism; adaptive control; frequency measurement; intelligent load shedding mechanism; online learning scheme; power system frequency stability; Equations; Estimation error; Frequency control; Load modeling; Observers; Power system stability; Time-frequency analysis; Frequency rate of change; frequency response; load-frequency behavior; online identification;
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
DOI :
10.1109/PTC.2013.6652296