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- Title
Alterable Electricity Pricing Mechanism Considering the Deviation of Wind Power Prediction.
- Authors
Cai, Qinqin; Zhu, Yongqiang; Yang, Xiaohua; E, Lin
- Abstract
Featured Application: This paper is a policy article that is used to alleviate the problem of power deviation caused by the volatility and uncertainty of wind power. It is also suitable for promoting "source-network coordination" between the power system and the wind farm operator. Fluctuation and prediction errors of wind power would cause a large amount of automatic generation control (AGC) adjustment costs, which lead to the problem of power curtailment. A reasonable mechanism of grid-connection electricity price may encourage wind farms to take measures to reduce the deviation between output power and schedule power, which is helpful for source-network coordination and reducing wind power curtailment. An alterable electricity pricing mechanism considering wind power deviation rate is proposed. In each schedule cycle, electricity price is adjusted according to the deviation rate and its historical change trend. In this way, wind farms will be encouraged to configure energy storage to promote the accordance of wind output power with schedule power to the greatest extent. Given the statistical characteristic of prediction errors of wind power, this paper proposes a schedule power model, taking least squares of output power deviation as objective function, and then puts forward an engineering application method for determining schedule power. This paper analyzes the overall cost and revenue of a wind farm to configure energy storage and determine the optimal energy storage capacity with the goal of maximizing the profit of the wind farm. In the case analysis, the effect of the deviation rate and its historical change trend, the deviation rate tolerance coefficient on electricity price is analyzed. The case analysis demonstrates the effectiveness of the proposed alterable electricity pricing mechanism and shows that the mechanism is helpful at reducing wind power output deviation and wind curtailment.
- Subjects
ELECTRICITY pricing; WIND power; FORECASTING; WIND power plants; FARMERS; ENERGY storage; LOAD forecasting (Electric power systems)
- Publication
Sustainability (2071-1050), 2020, Vol 12, Issue 5, p1848
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su12051848