水电中长期梯级机组运行优化分解与并行计算

Chizhi Zhang, Chang Xiao, Hu Chen, Ziyu Zhang, Tao Ding
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引用次数: 0

摘要

气候变化和环境污染是人类面临的全球性问题。能源转型是当前全球关注的社会问题,电力行业大力发展清洁能源是当前关注的焦点。水电是最成熟的可再生能源,在能源结构中处于优先地位。本文提出了一种分解并行计算的方法来优化中长期梯级发电机组的运行。首先,建立了梯级发电机组优化调度模型。然后,基于增广拉格朗日松弛对模型进行时间解耦。并引入对角二次逼近方法,保证解耦问题的可分解性,使子问题可以并行计算。并用实际数据进行了算法分析,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposition and Parallel Computation for Operation Optimization of Medium and Long term Cascaded Hydropower Units
Climate change and environmental pollution are global issues facing mankind. The energy transformation is currently a social issue of global concern, and the focus is on the power industry to vigorously develop clean energy. Hydropower is the most mature renewable energy source and has been in a priority position in the energy mix. In this paper, we propose a decomposition and parallel calculation method to optimize the operation of medium and long-term cascaded hydropower units. Firstly, a model for optimal scheduling of cascaded hydropower units is established. Then, the model is decoupled in time based on the augmented Lagrangian relaxation. And the diagonal quadratic approximation method is introduced to ensure the decomposability of the decoupled problem so that the subproblems can be computed in parallel. In addition, an arithmetic analysis is performed with actual data to verify the effectiveness of the proposed method.
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