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

[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.

[发布机构] College of Electrical Engineering, Shanghai Dianji University, Shanghai; 201306, China^1;Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai; 200240, China^2

[效力级别] 电工学

[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