期刊
APPLIED ENERGY
卷 212, 期 -, 页码 1462-1475出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2017.12.096
关键词
Microgrid; Game vector; Stochastic programming; Si-level programming; Smart energy system; Dynamic market operation
资金
- National Natural Science Foundation of China [51577115, U1766207]
- U.S. Department of Energy Office of Electricity Delivery and Energy Reliability [DE-OE-0000839]
To accommodate the large scale of renewable energy resources now widely integrated into power systems, an interactive two-level pricing mechanism for coupled microgrids (MG) in a smart energy system is proposed that considers operational quality and renewable generation uncertainty. In the upper level of the pricing mechanism, the distribution energy market operator (DEMO) guarantees operational quality by trading energy with coupled microgrids, while the actual transactions between networked microgrids is performed at the lower level. Stochastic programming is applied to handle the uncertainty caused by large-scale renewable integration. An innovative time-varying game vector and energy transaction strategy deal with the spatio-temporal market interaction of the networked microgrids, where each microgrid is able to directly trade all types of energy with any other microgrid at any time. The proposed model is solved using a customized hierarchical genetic algorithm. Case studies on an IEEE bus test feeder and an existing energy system in China demonstrate the effectiveness of the proposed methodology.
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