TITLE

Economic dispatch considering the wind power forecast error

AUTHOR(S)
Li Han; Romero, Carlos E.; Xuesong Wang; Liping Shi
PUB. DATE
August 2018
SOURCE
IET Generation, Transmission & Distribution;2018, Vol. 12 Issue 12, p2861
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Dispatch results depend on the forecast wind power in an electric power grid. High levels of uncertainty in wind power lead to large forecast errors (FEs). Wind power FE creates an imbalance between power load demand and supply, which poses risks to the power grid. To minimise the risk caused by uncertainty in wind power, FE was analysed. The actual and forecast power of wind generations were studied to determine which factors had strong relationships with FE. After being analysed by principle component analysis, these factors were used to build an assessment model to estimate FE. According to the output of the assessment model, risk factor (RF) was defined to evaluate the risk-level associated with wind power. Moreover, based on a grid including wind generation and fossil fuel-fired power plants, a dispatch model was built to account for the cost of fossils fuels and RF. This dispatch model was studied to find strategies for decreasing the impact of wind power on the grid. The results from their research will increase the safety and reliability of power grids with uncertain levels of wind power and promote the widespread use of wind power.
ACCESSION #
130272996

 

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