Publication

Robust smart grid optimization based on wind energy

Alhamidi, Suliman A.
Chen, Zheng
Sawan, M. Edwin
Almaktoom, Abdulaziz T.
Citations
Altmetric:
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2020
Type
Conference paper
Genre
Keywords
Robust control,Smart grid,Stochastic control,Wind energy
Subjects (LCSH)
Research Projects
Organizational Units
Journal Issue
Citation
Alhamidi, 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 7-12
Abstract
Wind 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.
Table of Contents
Description
Publisher
Institute of Industrial Engineers
Journal
Book Title
Series
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
DOI
ISSN
EISSN
Embedded videos