In this paper, we study energy management problems in communities with several neighborhood-level Residential Energy Systems (RESs). We consider control problems from both community level and residential level to handle external changes such as restriction on peak demand of the community and the total supply by the electricity grid. We propose three policies to handle the problems at community level. Based on the collected data from RESs such as predicted energy load, the community controller analyzes the policies, distributes the results to the RES, and each RES can then control and schedule its own energy load based on different coordination functions. We utilize a framework to integrate both policy analysis and coordination of functions. With the use of our approach, we show that the policies are useful to resolve the challenges of energy management under external changes.
CITATION STYLE
Duan, S., & Sun, J. (2016). Energy management policies in distributed residential energy systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9864 LNCS, pp. 121–133). Springer Verlag. https://doi.org/10.1007/978-3-319-45940-0_11
Mendeley helps you to discover research relevant for your work.