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Optimal photovoltaic capacity of large-scale hydro-photovoltaic complementary systems considering electricity delivery demand and reservoir characteristics

机译:考虑电力输送需求和储层特征的大型水力光光伏互补系统的最佳光伏容量

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摘要

Solar and wind energy pose a challenge to direct power grid acceptance due to their randomness, intermittency and fluctuation, whereas hydropower with rapid response, good adjustability and stable output has become the most preferred option for complementary energy. In this study, a novel approach to optimal sizing of large-scale hydro-photovoltaic (PV) hybrid systems considering electricity delivery demand and reservoir characteristics has been proposed. We establish a multi-objective mathematical model that minimizes the difference between the daily output process of the hydro-PV hybrid system and the setting-up characteristic load process while maximizing the daily power generation of the hydro-PV hybrid system. The proposed method was applied to a multi energy complementary base in the upper reaches of the Yellow River in Qinghai Province, China. The results show that the optimal PV capacity for a hydro-PV hybrid system and the complementary guarantee rate are closely related to electricity delivery demand and reservoir characteristics. It was observed that at the complementary guarantee rate of 0.7, the optimal PV capacities of the Yangqu-PV hybrid system were 402 and 425 MW under three- and five-segment line modes, respectively, with the corresponding optimal PV capacities of the Banduo-PV hybrid system at 129 and 154 MW under three- and five-segment line modes, respectively. Additionally, the Yangqu-PV hybrid system meets bimodal and unimodal load shaving well; however, the Banduo-PV hybrid system only satisfies unimodal load shaving well. Finally, simulation results indicate that upstream reservoir regulation, hydropower expansion and regulated storage capacity expansion benefit the complementarity between hydro and PV. The highlighted results verify the feasibility of the proposed method. Therefore, the proposed method provides technical support and reference for planning and constructing PV power plants and can be used to implement other hybrid systems in the future.
机译:由于随机性,间歇性和波动,太阳能和风能构成了直接电网接受的挑战,而水力发电具有快速响应,可调节性和稳定的输出良好成为互补能量的最优选选择。在这项研究中,提出了一种考虑电力输送需求和储层特性的大型水力光 - 光伏(PV)混合系统的最佳尺寸的新方法。我们建立了一种多目标数学模型,最大限度地减少了水 - PV混合系统的日常输出过程与设置特征负载过程之间的差异,同时最大化了水 - PV混合系统的日常发电。该方法应用于中国青海省黄河上游的多能量互补底座。结果表明,水 - 光伏混合系统的最佳PV容量和互补保证率与电力输送需求和储层特征密切相关。观察到,在互补保证率为0.7时,阳质-PV杂交系统的最佳PV容量分别为402和425mW,分别在三段和五段线模式下,具有相应的光带的最佳PV容量 - PV混合系统分别在三段和五段线模式下的129和154兆瓦。此外,阳质-PV杂交系统符合双峰和单峰载荷良好的剃须;然而,Banduo-PV混合系统仅满足单峰载荷剃须孔。最后,仿真结果表明,上游储层调节,水电膨胀和监管储存能力扩展有利于水电和光伏之间的互补性。突出显示的结果验证了所提出的方法的可行性。因此,该方法为规划和构建光伏发电厂提供了技术支持和参考,可用于将来实现其他混合系统。

著录项

  • 来源
    《Energy Conversion & Management》 |2019年第9期|597-608|共12页
  • 作者单位

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China|Huanghe Hydropower Dev Co Ltd Xining 810008 Qinghai Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China;

    Tianjin Univ State Key Lab Hydraul Engn Simulat & Safety Tianjin 300072 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hydro-PV; Optimal capacity; Large-scale; Multi-segment line generalization; Complementary guarantee rate;

    机译:Hydro-PV;最佳能力;大规模;多段线泛化;互补保证率;

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