Authors:
Igor Wojnicki
;
Sebastian Ernst
and
Leszek Kotulski
Affiliation:
AGH University of Science and Technology, Poland
Keyword(s):
Smart Grid, Optimization, Energy Distribution, Grid Design, Control, Optimization, Artificial Intelligence, ICT.
Related
Ontology
Subjects/Areas/Topics:
Algorithms for Reduced Power, Energy and Heat
;
Architectures for Smart Grids
;
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Ecological Monitoring, Analytics and Visualization
;
Energy and Economy
;
Energy Management Systems (EMS)
;
Energy Monitoring
;
Energy Profiling and Measurement
;
Energy-Aware Systems and Technologies
;
Enterprise Information Systems
;
Greener Systems Planning and Design
;
Health Information Systems
;
Innovation Labs, Experimental Test-Beds and Simulation Environments
;
Integration of Smart Appliances
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Load Balancing in Smart Grids
;
Mechanisms for Motivating Behaviour Change
;
Ontologies and the Semantic Web
;
Scheduling and Switching Power Supplies
;
Sensor Networks
;
Service Innovation and Design to Support Smart Cities
;
Simulation and Modeling
;
Smart Cities
;
Smart Grid Security and Reliability
;
Smart Grids
;
Software Agents and Internet Computing
;
Software and Architectures
;
Sustainable Computing and Communications
;
Symbolic Systems
Abstract:
Smart grid stakeholders have partially opposing goals. New tools and utilities are needed to reach them. The
paper discusses prospective products and benefits of the Green AGH Campus Project. The project provides
energy management infrastructure being a test bed for future smart grid solutions. It is based on three main
components: an Advanced Distribution Management System, a Power Data Warehouse and a Simulation System.
Coupled together, they are capable of providing advices regarding either optimization of grid operations,
or its design and topology. The optimizations are multicriteria and multivariant balancing stakeholders’ needs