Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid

Smart grid proactively uses the state-of-the-art technologies in communications, computing, and control to improve efficiency, reliability, sustainability, and stability of the electrical grid. In particular, distribution networks are expected to undergo dramatic changes by incorporating a large num...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2017-11, Vol.8 (6), p.2939-2940
Main Authors: Lavaei, Javad, Low, Steven, Baldick, Ross, Zhang, Baosen, Molzahn, Daniel, Dorfler, Florian, Sandberg, Henrik
Format: Article
Language:English
Subjects:
Batteries
Computation
Control methods
Control stability
Decision making
Decision theory
Devices
Distributed generation
Electric power distribution
Load flow
Network reliability
Optimization
Power distribution
Power system stability
Predictive control
Smart grid
Special issues and sections
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Summary:Smart grid proactively uses the state-of-the-art technologies in communications, computing, and control to improve efficiency, reliability, sustainability, and stability of the electrical grid. In particular, distribution networks are expected to undergo dramatic changes by incorporating a large number of sensors and thousands of controllable devices such as distributed generators, batteries and flexible loads. To be able to efficiently operate such complex large-scale systems, new sets of control and optimization tools should be developed. On a slow time scale, optimization theory plays a major role in solving various large-scale decision-making problems for future power transmission and distribution systems. One major challenge is the design of computational methods for handling fairly detailed power system models that often include continuous and discrete nonlinearities. It is also important to develop distributed computation techniques to shift the computation from a centralized platform to many computing devices.
ISSN:1949-3053
1949-3061
1949-3061
DOI:10.1109/TSG.2017.2758907