基于晴空指数与波动特性的光伏电站可靠性分析
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国家自然科学基金资助项目(51477041)


Reliability analysis for the PV power plant based on the clearness index and variability characteristic
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    摘要:

    为分析光伏电站并网对发电系统可靠性的影响,建立基于晴空指数和波动特性的光伏电站多状态可靠性模型,提出了等间隔与等频的状态划分原则,并根据不同坐标顺序给出2种状态划分方式。采用序贯蒙特卡洛模拟技术评估含光伏电站发电系统的可靠性,基于Roy Billinton测试系统(RBTS)的仿真结果表明:仿真结果与实测数据相吻合,证实模型的合理性;光伏电站等频原则kDCI/kVI划分方式下的可靠性模型能够有效提高分析精度。

    Abstract:

    In order to analyze the influence of grid connected PV power plant on the reliability of power generation system, a multi-state reliability model of PV power plant is established based on the clearness index and fluctuation characteristic, a state division principle of equal interval and equal frequency is proposed,and two state division methods according to different coordinate orders are gave. Then sequential Monte Carlo simulation technology is utilized to assess the reliability of generation system with PV power plant. Simulation results on Roy Billinton test system(RBTS)are in line with measured data demonstrate the rationality of proposed model. Finally, simulation results show that the model with equal frequency division principle and kDCI/kVI state division method can get more accurate results in reliability analysis of the generation system with PV power plant.

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宗炫君,袁越,蒋科,邹盛.基于晴空指数与波动特性的光伏电站可靠性分析[J].电力工程技术,2019,38(1):36-41

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历史
  • 收稿日期:2018-08-22
  • 最后修改日期:2018-09-12
  • 录用日期:2018-07-16
  • 在线发布日期: 2019-01-28
  • 出版日期: 2019-01-28