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Identifying the effect of forecast uncertainties on hybrid power system operation: A case study of Longyangxia hydro-photovoltaic plant in China

机译:识别预测不确定性对混合动力系统运行的影响 - 以中国龙阳峡谷 - 光伏厂为例

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摘要

Power system operations are unavoidably influenced by forecast uncertainties. The forecast uncertainty's effect on operations was quantified in individual systems, however, was seldom investigated in a hybrid system. This study aims to quantify the effect of forecast uncertainties on the hybrid hydro-photovoltaic system operation. First, the operation model is built considering streamflow and photovoltaic forecast uncertainties with long-and short-time scales. Second, total release uncertainty is determined from the sum of squares for releases under different forecast scenarios. Finally, a variance partitioning method is used to divide the total release uncertainty into the uncertainties induced by individual forecast errors. Longyangxia hybrid hydro-photovoltaic power plant from China was selected as a case study. Results provide following insights: (1) long-term inflow forecast uncertainty accounts for 98.89% of the contribution to the long-term release uncertainty, while photovoltaic uncertainty accounts for 1.11%; (2) long-term inflow forecast uncertainty still dominates the short-term release uncertainty, with the contribution of 62.06%; and (3) the total release uncertainty decreases in long-term hybrid operation compared with the reservoir operation, indicating the complementary relationship between long-term hydropower and photovoltaic power. These implications highlight the importance of improving forecast accuracies for varied energy sources at different time scales. (c) 2021 Elsevier Ltd. All rights reserved.
机译:电力系统操作不可避免地受到预测不确定性的影响。预测不确定性对运营的影响是在个别系统中量化的,但在混合系统中很少调查。本研究旨在量化预测不确定性对杂交水电光学系统操作的影响。首先,考虑通过长短短时尺度的流流和光伏预测不确定性建立操作模型。其次,从不同预测场景下的释放的平方和中确定总释放不确定性。最后,使用方差分区方法将总释放不确定性划分为各个预测误差引起的不确定性。来自中国的朗阳峡杂交水力光电厂是案例研究。结果提供以下见解:(1)长期流入预测不确定性占对长期释放不确定性贡献的98.89%,而光伏不确定性占1.11%; (2)长期流入预测不确定性仍然占据短期释放不确定性,贡献62.06%; (3)与储层操作相比,长期混合操作总释放不确定性降低,表明长期水电和光伏电力之间的互补关系。这些影响突出了在不同时间尺度下改善各种能源的预测精度的重要性。 (c)2021 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2021年第11期|1303-1321|共19页
  • 作者单位

    Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China|Wuhan Univ Hubei Prov Key Lab Water Syst Sci Sponge City Con Wuhan 430072 Peoples R China|Wuhan Univ Res Inst Water Secur RIWS Wuhan 430072 Peoples R China;

    Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China|Wuhan Univ Hubei Prov Key Lab Water Syst Sci Sponge City Con Wuhan 430072 Peoples R China|Wuhan Univ Res Inst Water Secur RIWS Wuhan 430072 Peoples R China;

    Xian Univ Technol State Key Lab Ecohydraul Northwest Arid Reg China Xian 710048 Peoples R China;

    Wuhan Univ Sch Math & Stat Wuhan 430072 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-photovoltaic hybrid power system; Renewable energy; Forecast uncertainty; Long-and short-term operation; Variance partitioning method;

    机译:水力光伏混合动力系统;可再生能源;预测不确定性;长期和短期操作;方差分区方法;

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