Chance constrained dynamic optimisation method for AGC units dispatch considering uncertainties of the offshore wind farm

Chance constrained dynamic optimisation method for AGC units dispatch considering uncertainties of the offshore wind farm

The continuing growth of an offshore wind farm integrated into a power grid via high-voltage DC has posed great challenges for automatic generation control (AGC) of the power system. To address these challenges, a new concept of ‘dynamic dispatch of AGC units (DDA)’ under control performance standar...

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Bibliographic Details
Main Authors: Xia Zhao, Xiaobin Ye, Lun Yang, Rongrong Zhang, Wei Yan
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:The Journal of Engineering
Subjects:
power generation control
evolutionary computation
power generation dispatch
power generation economics
power generation scheduling
power generation reliability
stochastic processes
wind power
offshore installations
wind power plants
power grids
optimisation
additional offshore wind power generation
hybrid algorithm
stochastic AGC dispatch method
dynamic optimisation method
AGC units
offshore wind farm
continuing growth
power grid
high-voltage DC
great challenges
automatic generation control
power system
dynamic dispatch
control performance standards
economic dispatch
existing DDA model
uncertain forecasting error
offshore wind power output
novel stochastic DDA model
chance-constrained programming
random offshore wind power forecasting error
evolutionary programming algorithm
point estimate method
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8558

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8558

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