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IEEE: The expertise to make smart grid a reality

Smart Grid Publications
Smart buildings and the smart grid
So far the worlds of building automation and power networks have co-existed electrically attached but without data interaction, with different, and sometimes divergent, goals and requirements. The smartgrid community is coping nowadays with a new phase in the deployment of its vision: the integration of smart buildings, making use of their services and advantages to enable more complex functionalities at a global level. The main objective of this paper is to review latest results of the research community of industrial electronics, whose society within the IEEE, the IES, acts as the organizer of this conference. At the conference, latest advances and developments in design, modelling, simulating and implementing tools for, or systems of, sensor and/or actuator networks with advances towards user orientation, wireless connectivity, dependability, energy efficiency, context awareness and ubiquitous computing will be presented.
Real problems solving in PRIME networks by means of simulation
Smart grid is one of the most important technological initiatives nowadays. This technology is a recent proposal that uses computerized systems to improve the availability and reliability of the electricity distribution network, which main purpose is to solve the different problems derived from the increment in the number of users and power sources. Among the different smart grid components, the advanced metering infrastructure (AMI) is currently the most developed one, since nowadays there are hundreds of intelligent meter deployments all over the world. Several technologies can be used to widespread this infrastructure, however powerline communications are the most widely used. The different standards based on this technology for smart metering are still under development and lots of problems are found in real scenarios. In order to simplify this development and the problem solving processes, a PLC simulation environment that simulate the real meters code was recently presented. In this paper, it is shown the current status of this tool and one of its real applications, in which a real problem found in a PRIME based metering network is solved.
Large Scale predictive analytics for real-time energy management
As demand for cost-effective energy and resource management continues to grow, intelligent automated building solutions are necessary to reduce energy consumption, increase alternative energy sources, reduce operational costs and find interoperable solutions that integrate with legacy equipment without massive investments in new equipment and tools. The ability to analyze, understand and predict building behavior offer tremendous opportunities to demonstrate and validate increased energy efficiencies, which may ease many particular exorbitant pressures taxing the grid. In this paper, we describe a research platform driven by an existing campus microgrid for developing large scale, predictive analytics for real-time energy management.
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