Multi-objective chance constrained programming model for operational-planning of V2G integrated microgrid

This paper presents a novel chance constrained programming model for the operational-planning of a microgrid containing renewable energy sources like wind and solar, and vehicle to grid (V2G) storage. The model investigates the economic implications of the V2G storage on the microgrid operation. The...

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Veröffentlicht in:	DRPT 2015 : proceedings of the 5th IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies : Nov. 26-29, 2015, Changsha, China S. 443 - 448
Hauptverfasser:	Waqar, Asad, Shaorong Wang, Khalid, Muhammad S., Xiaohan Shi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2015
Schlagworte:	chance constrained programming Decision support systems Markov chain Monte Carlo Markov processes Metropolis-Hastings algorithm microgrid Microgrids Monte Carlo methods operational-planning Power industry Programming renewable energy Renewable energy sources V2G
Online-Zugang:	Volltext
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