期刊
IEEE TRANSACTIONS ON SMART GRID
卷 6, 期 4, 页码 1893-1903出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2015.2409053
关键词
Consensus plus innovations algorithm; distributed optimization; economic dispatch; multistep optimization
资金
- Carnegie Mellon University Scott Institute
- National Science Foundation [ECCS 1408222]
- Pennsylvania Infrastructure Technology Alliance
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1408222] Funding Source: National Science Foundation
Distributed energy resources and demand-side management are expected to become more prevalent in the future electric power system. Coordinating the increased number of grid participants in an efficient and reliable way is going to be a major challenge. A potential solution is the employment of a distributed energy management approach, which uses intelligence distributed over the grid to balance supply and demand. In this paper, we specifically consider the situation in which distributed resources and loads form microgrids within the bulk power system in which the load is supplied by local generation. A distributed energy management approach based on the consensus + innovations method is presented and used to coordinate local generation, flexible load, and storage devices within the microgrid. The approach takes advantage of the fact that, at the optimal allocation settings, the marginal costs given as a function of the power output/consumption need to be equal for all nonbinding network resources. Solutions for single time step, as well as multitime step optimization including intertemporal constraints, are presented.
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