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ARTIFICIAL INTELLIGENCE MODELING TECHNIQUES IN POWER SYSTEM CONTROL


GHEORGHE CARTINA
TECHNICAL UNIVERSITY "GH. ASACHI" OF IAƞI, ELECTRICAL ENGINEERING FACULTY

Issue:

MOCM, Number 7, Volume I

Section:

Issue No. 7 - Volume I (2001)

Abstract:

We are seeing today that information technology has drastically changed education, the nature of work, society, and decision-making processes all over, among other things. More and more information is becoming available, faster than ever before. The changing face of information technology and communication are proof that the economy, and in particular the power systems sector, have entered a new era of fundamental change. The impact is being felt in the energy market, in the control and operation of the distribution and transport networks. Under these circumstances of momentous change, Artificial Intelligence has the potential to play a more important role. Hybrid technologies, such as neuro-fuzzy, expert-neuro-fuzzy, or neuro-evolutive, can contribute within an integrated framework to realizing more efficient systems for optimum utilization of power systems.

Keywords:

power system control, artificial intelligence, modeling.

Code [ID]:

MOCM200107V01S01A0049 [0001186]


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