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dc.contributor.authorAlhamidi, Suliman A.
dc.contributor.authorChen, Zheng
dc.contributor.authorSawan, M. Edwin
dc.contributor.authorAlmaktoom, Abdulaziz T.
dc.date.accessioned2020-05-21T19:08:11Z
dc.date.available2020-05-21T19:08:11Z
dc.date.issued2020
dc.identifier.citationAlhamidi, Suliman A.; Chen, Zheng; Sawan, M. Edwin; Almaktoom, Abdulaziz T. 2020. Robust smart grid optimization based on wind energy. 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 2020, Pages 7-12en_US
dc.identifier.urihttps://soar.wichita.edu/handle/10057/17672
dc.description.abstractWind energy is commonly applied in the electrical industry and is fast developing all over the world. Attention has been focused on the reliable connection between a wind farm and the gas turbine. Many researchers hope to improve wind turbine power generators. However, most of their research has focused on specific parts of the system, while the area of controlling wind turbine uncertainty in a smart grid has almost remain untouched. Since the production and consumption of wind energy is unpredictable, it is necessary for the relationship between a gas turbine and a wind farm to maintain a constant energy output for the consumer. To reduce uncertainty in the wind energy smart grid, this research presents a method using a robust control in a smart grid system that delivers and optimizes electricity derived from gas turbines and wind turbines through joint control centers in a stochastic consequence. The characteristics of the controller’s correspondence with the wind farm will be illustrated, and then the wind farm power system will be studied. Simulation results will also be analyzed to draw a conclusion. Our motivation is to reduce cost, improve environment, overcome the uncertainty impact and control a smart grid.en_US
dc.language.isoen_USen_US
dc.publisherInstitute of Industrial Engineersen_US
dc.subjectRobust controlen_US
dc.subjectSmart griden_US
dc.subjectStochastic controlen_US
dc.subjectWind energyen_US
dc.titleRobust smart grid optimization based on wind energyen_US
dc.typeConference paperen_US
dc.rights.holder© 2016 Proceedings of the 2016 Industrial and Systems Engineering Research Conference, ISERC 2016. All rights reserved.en_US


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