Abstract

Complementation with hydropower is an important solution to solve the problems of grid connection and consumption of photovoltaic generation. Considering the randomicity of photovoltaic output and runoff, hydropower station with good regulation capability is often used as a complementary power source of photovoltaic generation. However, there are only a small number of regulatory hydropower stations, which is difficult to meet complementary requirements of widely distributed photovoltaic power stations. The present study aimed to explore the feasibility of using a small cascade hydropower station group as the only complementary power source for photovoltaic generation. Based on electric energy production and output fluctuation, this study constructed a hydro-photovoltaic complementary operation model with dual-objectives of maximization of average capacity factor of the system and load rate of power generation. An algorithm coupling flower pollination algorithm with progressive optimality algorithm (coupling algorithm) was put forward to obtain solutions. The simulation results of the model showed that the fluctuation in joint operation mode is significantly lower than that in single operation mode, and the comprehensive target value on sunny day calculated by the coupling algorithm is 2.53% and 2.16% higher than the results of flower pollination algorithm and progressive optimality algorithm, respectively, verifying the reliability and rationality of the model and the algorithm.

Graphic abstract

中文翻译：

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小型梯级水电站和光伏电站的互补运行

摘要

补充水电是解决并网和光伏发电消耗问题的重要解决方案。考虑到光伏输出和径流的随机性，具有良好调节能力的水力发电站通常被用作光伏发电的补充电源。但是，监管水电站数量很少，很难满足广泛分布的光伏电站的补充要求。本研究旨在探讨使用小型梯级水电站作为光伏发电的唯一补充电源的可行性。根据电能生产和输出波动，本研究构建了具有最大化系统平均容量因子和发电负荷率双重目标的水光互补发电模型。提出了一种将花授粉算法与渐进最优算法（耦合算法）结合起来的算法。模型的仿真结果表明，联合作业模式下的波动明显低于单一作业模式下的波动，耦合算法计算的晴天综合目标值比花粉授粉结果高2.53％和2.16％。算法和渐进最优算法，分别验证了模型和算法的可靠性和合理性。提出了一种将花授粉算法与渐进最优算法（耦合算法）结合起来的算法。模型仿真结果表明，联合作业模式下的波动明显低于单一作业模式下的波动，耦合算法计算的晴天综合目标值比花粉授粉结果高2.53％和2.16％。算法和渐进最优算法，分别验证了模型和算法的可靠性和合理性。提出了一种将花授粉算法与渐进最优算法（耦合算法）结合起来的算法。模型的仿真结果表明，联合作业模式下的波动明显低于单一作业模式下的波动，耦合算法计算的晴天综合目标值比花粉授粉结果高2.53％和2.16％。算法和渐进最优算法分别验证了模型和算法的可靠性和合理性。

图形摘要