Analysis and supervision of a smart grid system with a systemic tool

Smart grids studies focus on improving their reliability and reducing the cost of energy, particularly when they are operated offshore. Smart grids Supervisory Control and Data Acquisition (SCADA) systems contain alarm signals providing significant important information. Pattern recognition embodies a set of promising techniques for intelligently processing smart grid SCADA alarms. This paper presents the feasibility study of SCADA alarm processing and description of the functional and operational control-command applications method SA-RT (Structured Analysis Real Time) is presented. The purpose of this article is to propose a general methodology of analysis and supervision of control-command applications based on the SA-RT method as well as the SCADA system © 2020 Elsevier Inc.