Research on Operation Strategy for Bundled Wind-thermal Generation Power Systems Based on Two-Stage Optimization Model

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Sun, Congcong^1 ; Wang, Zhijie^1 ; Liu, Sanming^1 ; Jiang, Xiuchen^2 ; Sheng, Gehao^2 ; Liu, Tianyu^1

College of Electrical Engineering, Shanghai Dianji University, Shanghai

201306, China^1

Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai

200240, China^2

关键词: Chance-constrained programming;    Environmental benefits;    Improved pso algorithms;    Short-term wind speed forecasting;    Supply-demand balances;    Two stage optimizations;    Two-stage optimization models;    Wind power accommodations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012058/pdf
DOI  :  10.1088/1757-899X/199/1/012058

来源: IOP

【 摘 要 】

Wind power has the advantages of being clean and non-polluting and the development of bundled wind-thermal generation power systems (BWTGSs) is one of the important means to improve wind power accommodation rate and implement "clean alternative" on generation side. A two-stage optimization strategy for BWTGSs considering wind speed forecasting results and load characteristics is proposed. By taking short-term wind speed forecasting results of generation side and load characteristics of demand side into account, a two-stage optimization model for BWTGSs is formulated. By using the environmental benefit index of BWTGSs as the objective function, supply-demand balance and generator operation as the constraints, the first-stage optimization model is developed with the chance-constrained programming theory. By using the operation cost for BWTGSs as the objective function, the second-stage optimization model is developed with the greedy algorithm. The improved PSO algorithm is employed to solve the model and numerical test verifies the effectiveness of the proposed strategy.