期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 63, 期 8, 页码 4919-4928出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2016.2547870
关键词
Energy management; energy storage; hydrogen
资金
- Ministry of Economy and Competitiveness of Spain [DPI2013-46912-C2-1-R]
Real operational scenario in renewable energy microgrids typically differs from the forecast computed by the economic dispatch, making difficult to achieve the contracted schedule agreed with the grid Market/System operator. Each energy storage system (ESS) has its own capabilities referred to the relationship between energy and power density. In addition, degradation issues or anomalous working conditions should be considered. Advanced control algorithms come up as a technological solution to these problems, taking advantage of each storage system and avoiding the degradation and/or limitations to provide optimal operation of a hybrid ESS. The high number of constraints and variables to be optimized increases the complexity of the control problem, being the rationale to deploy advanced control algorithms. In this paper, optimal load sharing of a real scenario in a renewable energy microgrid with hydrogen/batteries/ultracapacitor hybrid ESS is developed through an advanced control system based on model-predictive control techniques. The presence of logical states such as the start-up/shut-down of the fuel cell and electrolyzer or charge/discharge states in the batteries and ultracapacitor introduces logical variables. In order to model both continuous/discrete dynamics, the plant is modeled in the mixed logic dynamic framework.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据