Abstract :
Interconnected and integrated electrical power systems, by their very dynamic nature are complex. These multifaceted systems are subject to a host of challenges - aging infrastructure, generation availability near load centers, transmission expansion to meet growing demands, distributed resources, dynamic reactive compensation, congestion management, grid ownership vs. system operation, reliability coordination, supply and cost of natural resources for generation, etc. Other types of challenges facing the industry today include balancing between resource adequacy, reliability, economics, environmental constraints, and other public purpose objectives to optimize transmission and distribution resources to meet the needs of the end users. The goal is to provide a vision for a comprehensive and systematic approach to meeting the grid management challenges through new information services. These services will have as the heart of their data streams a sensor web enablement that will make the grid a part of the semantic Web.
Keywords :
power engineering computing; power grids; power system interconnection; power system reliability; semantic Web; aging infrastructure; congestion management; dynamic reactive compensation; environmental constraints; generation availability; grid management challenges; grid ownership; information services; integrated electrical power system interconnection; load centers; natural resources; public purpose objectives; reliability coordination; semantic Web; smart grids; system operation; transmission expansion; transmission-distribution resources; Aging; Availability; Distributed power generation; Mesh generation; Power system dynamics; Power system interconnection; Power system management; Power system reliability; Resource management; Smart grids; Ontology; Protection and Control; information semantics; sensor web;