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Study on optimal operation of cascade hydropower stations under complex constraints

机译:复杂约束条件下梯级水电站优化调度研究

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With daily regulating storage of cascade hydropower station group as the object of research, Studied under time-sharing electricity price, traffic delay, meet the daily load power generation and power supply, and other complex constraints, and combined with the characteristic of power plant, establish the mathematical model of the daily regulation of cascade hydropower station generating economic benefits maximum ,the successive approximation algorithm combined with the dynamic programming algorithm and the successive approximation algorithm combined with POA are respectively Programming calculated and compared to verify. Through the actual simulation of the cascade hydropower station group of Sichuan Mingxing electric power company, the results show that the obtained strategy can meet the needs of the dispatching of cascade hydropower stations, and can achieve better economic benefits. It is a practical and feasible scheduling method and strategy
机译:以梯级水电站群的日常调节储能为研究对象,研究了分时电价,交通延误,满足日负荷发电和供电等复杂约束条件,并结合电厂的特点,建立梯级水电站日发电量最大效益的数学模型,分别将逐次逼近算法与动态规划算法相结合,并将逐次逼近算法与POA相结合,分别进行编程计算和比较验证。通过对四川明兴电力公司梯级水电站组的实际模拟,结果表明所获得的策略能够满足梯级水电站调度的需要,并能取得较好的经济效益。这是一种实用可行的调度方法和策略

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