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Based on mixed integral and linear programming mathematical models are developed for the operation optimization of pumped storage power stations of daily and weekly regulation mode. The objective function of the models is to maximize the benefit from the pumping and generation cycle of the stations while satisfying the balance of electric power and the constraints of reservoir capacity, power output and pumping capacity. The models can be used for system operation simulation in power source planning, optimization... Based on mixed integral and linear programming mathematical models are developed for the operation optimization of pumped storage power stations of daily and weekly regulation mode. The objective function of the models is to maximize the benefit from the pumping and generation cycle of the stations while satisfying the balance of electric power and the constraints of reservoir capacity, power output and pumping capacity. The models can be used for system operation simulation in power source planning, optimization of the operation of pumped storage power stations and power generation planning, quantitative analysis of the effects of the system generation cost, the scale of the station, and the characteristics of the system load on the operation of the stations. The feasibility and effectiveness of the models are illustrated by case studies. 提出了抽水蓄能电站的日调节与周调节方式运行优化模型。按电站抽水-发电循环效益最大化,满足电力电量平衡条件,满足库容、发电出力及抽水功率等限制条件,建立了基于混合整数线性规划的算法模型,可应用于电源规划的系统运行模拟,优化抽水蓄能电站的运行方式和发电计划;分析了系统发电成本、电站规模、负荷特性等对电站运行的影响。通过计算实例对算法模型的实用性、有效性做了说明。
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