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三峡梯级水电站蓄能最大长期优化调度模型及分解算法 被引量:37

A LONG-TERM SCHEDULING MODEL FOR STORED ENERGY MAXIMIZATION OF THREE GORGES CASCADE HYDROELECTRIC STATIONS AND ITS DECOMPOSITION ALGORITHM
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摘要 建立了三峡梯级水电系统计划期末蓄能最大长期优化调度模型,采用大系统分解协调原理将发电量耦合约束进行了松弛,使各子系统仅是三峡下泻流量的一维优化问题。采用黄金分割法进行子问题的优化搜索,Lagrange乘子的更新则采用了次梯度法。使用三峡水力系统数据进行了数值检验,测试结果表明,文中所提出的模型和算法计算简单、可行、有效,适合于梯级水电长期运行规划的决策支持。 A long term scheduling model of Three Gorges cascade hydroelectric is established by maximizing the stored potential energy at the end of plan period. The principle of decomposition and coordination for the large-scale system is applied to relax the coupling constraint of generated energy, so each subsystem will be only a one-dimension optimization problem for rate of flow down of Three Gorges. The optimum of subproblem is searched by golden section method and the subgradient method is applied to the renewal of Lagrangian multiplier. The numerical test is carried out by the data of Three Gorges hydraulic system, the testing results show that the calculation by the presented model and algorithm is simple, reliable and effective, and is suitable for the decision support of long-term cascaded hydroelectric operation scheme.
出处 《电网技术》 EI CSCD 北大核心 2004年第10期5-8,共4页 Power System Technology
关键词 三峡梯级水电站 优化调度模型 水库调度系统 决策支持系统 分解算法 水库群 Algorithms Cascade connections Decision support systems Energy efficiency Lagrange multipliers Large scale systems Optimization Potential energy Relaxation processes Scheduling
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参考文献4

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  • 2Guan X, Ni E, Li R et al. An optimization-based algorithm for scheduling hydrothermal power systems with cascaded reservoirs and discrete hydro constraints[J]. IEEE Transactions on Power Systems,1997, 12(4): 1775-1780.
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