Efficient electricity grid management for distributed generation using a fuzzy logic-based multicasting technique

Steadily increasing needs for electrical power, progress in power deregulation, tight construction constraints on new high voltage lines for long distance power transmission, and global environmental concerns have created increased interest in alternative energy generation. Hybrid combination of such sources can significantly improve their reliability and better deliver power to customer loads while complementing the centralized electricity. Such distributed generation systems should be able to exploit significant economic gains from the variations in energy cost per unit which can exhibit both temporal and geographic variations due to regional demand differences and generation diversity. Flexible, coordinated and adequate electricity networks - designed according to new architectural schemes and embedding innovative technological solutions - are key to address major challenges in energy systems. We propose application of a fuzzy logic-based multicast path computation model for an efficient management of the dynamic and complex distributed power generation and distribution networks.