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Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties

机译:考虑不确定性的实时短期梯级水电系统自优化系统动力学仿真

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摘要

Uncertainties of inflow and temporary power instructions always make it intractable to make decisions in real-time short term hydropower operation. To deal with the problems caused by uncertainties and realize self-optimization for real-time short term hydropower operation, relevant measurement indexes are firstly discussed and deduced. Then the self-optimization system dynamics simulation of real-time short term cascade hydropower system is developed by taking advantages of feedback loops in system dynamics simulation. Finally, the proposed self-optimization system dynamics simulation model is illustrated in Shuibuya-Geheyan-Gaobazhou cascade hydropower system on Qing River in China. Three typical scenarios are analyzed and different dispatching strategies are simulated in feedback loops. The results indicate that system dynamics simulation is an effective way to simulate a complex cascade hydropower system with feedback and causal loops. Moreover, it makes a contribution to making up a daily schedule and making decisions in real-time short time operation. Also, operation rules can be extracted for the cascade dispatching center by SD simulation.
机译:涌水量和临时用电指示的不确定性总是使实时短期水电运行中的决策难以处理。针对不确定性带来的问题,实现实时短期水电运行的自我优化,首先讨论并推导了相关的测量指标。然后利用反馈回路在系统动力学仿真中的优势,开发了实时短期梯级水电系统的自优化系统动力学仿真。最后,在中国清水水布ya-格河岩-高坝州梯级水电系统中,提出了所提出的自优化系统动力学仿真模型。分析了三种典型方案,并在反馈回路中模拟了不同的调度策略。结果表明,系统动力学仿真是模拟具有反馈和因果关系的复杂梯级水电系统的有效方法。此外,它有助于制定每日计划并在实时短时操作中做出决策。此外,可以通过SD仿真提取级联调度中心的操作规则。

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