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Optimized Operation of cascade reservoirs Considering Complementary Characteristics between wind and photovoltaic based on variational auto-encoder

机译:基于变分式自动编码器的风光和光伏互补特性的级联储层优化操作

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The strong variations and uncertainties of high-penetration variable renewable energy sources (RESs) has greatly challenged the operation of power systems. Considering the rapid adjustability of hydropower to complement various RESs, in this paper, a coordinated optimization model is proposed for hydro-wind-solar integrated systems. Based on the variational auto-encoder, a scenarios generation method is proposed to capture the spatial-temporal complementary and fluctuant characteristics of wind and PV power with high model accuracy and low computational complexity. The detailed hydraulic and electrical relationship between cascade reservoirs are established to make full use of the controllable regulation capacity of cascade hydropower stations. With the linearization of the head-sensitive power generation and nonlinear water head, the optimization model is reformulated into a tractable mixed integer linear programming (MILP) formulation. A basin in Northwest China integrated with prolific wind and solar resources is selected for a case study. The computational experiments on actual data demonstrate the applicability of the proposed method.
机译:高渗透可变可再生能源(RESS)的强大变化和不确定性极大地挑战了电力系统的运行。考虑到水电能力的快速可调节性补充各种ress,本文提出了一种协调优化模型,用于水上风力 - 太阳能集成系统。基于变分式自动编码器,提出了一种具有高模型精度和低计算复杂性的风和光伏电量的空间互补和波动特性。建立级联水库之间的详细液压和电气关系,充分利用级联水电站的可控调节能力。随着头部敏感发电和非线性水头的线性化,优化模型被重新重整为易于混合整数线性编程(MILP)制剂。选择在中国西北部的盆地与多产风和太阳能资源进行了案例研究。实际数据的计算实验证明了该方法的适用性。

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