Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072, China
Nowadays, the China's power supply structure is still dominated by thermal power units, and it is still the current main choice of the power grid by adopting the regulating-capacity improvement mode to realize the renewable energy consumption. In this paper, a flexibility reformation planning model of thermal power units based on interval optimization is presented. In the aspect of economy, in view of the phenomenon that the significant increase of the power generation costs of thermal power units cause the large fluctuations of power generation costs at the deep peak-regulation stage, a full-scenario optimized method is utilized to optimize the operation costs of multiple scenarios, and a scheme with better comprehensive economy is given. In the aspect of power flow adaptability, considering that the power grids requiring the flexibility reformation of thermal power units always has high-penetration wind power, a full-scenario optimized method is adopted to deal with the power flow uncertainty with high-penetration wind power, and a scheme with better power flow adaptability is obtained. In the solution of the proposed model, a group search optimizer with multiple producers and multiple attributed decision-making method are used to ensure that the obtained scheme has the optimal comprehensive economy and can satisfy the needs of users to the greatest extent. Finally, the effectiveness of the built model is verified through the analysis of numerical examples.
YANG Yinping, ZENG Yuan, QIN Chao, et al. Planning Model for Flexibility Reformation of Thermal Power Units for Deep Peak Regulation[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20201225003.