基于气候条件的光伏储能一体发电系统的能量管理策略
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(教育部光伏系统工程研究中心(合肥工业大学), 安徽 合肥 230009)

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傅金洲(1988—),男,通信作者,硕士研究生,研究方向为新能源与分布式发电技术;E-mail:hffujinzhou@ sina.com
孙 鸣(1957—),男,博士,教授,研究方向为新能源与分布式发电技术。

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国家高技术研究发展计划(863计划)(2015AA 050603)


Energy management strategy based on weather condition for photovoltaic-energy storage integrated power system
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(Photovoltaic Research Center of MOE (Hefei University of Technology), Hefei 230009, China)

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    摘要:

    针对光伏发电波动性与随机性的问题,将光伏发电单元与储能装置配合组成光伏储能一体发电系统并利用能量管理策略进行统一调度管理是一种有效的解决方式,而且对系统的经济运行也具有重要的作用。根据不同天气下光伏输出能力的差异,提出一种基于气候条件的能量管理策略。在日前计划环节根据次日的天气选择对应的运行策略;由于对次日的天气的预判可能会有误差,因此结合光伏发电超短期预测技术引入日内滚动调差机制,对运行策略能够及时做出调整。算例验证了所提策略优化了系统的运行成本,提升了系统的经济性。

    Abstract:

    Aiming at the problem of the fluctuation and randomness of photovoltaic (PV) power systems, PV device and energy storage device with the composition of PV-energy storage integrated power system and using energy management strategy for unified scheduling management is an effective solution, and it also has an important role in the economic operation of the system. According to the difference of PV output ability under different weather conditions, this paper proposes a kind of energy management strategy based on climatic conditions for PV-energy storage integrated power system. Different operation strategies are adopted according to next-day weather condition in day-ahead scheduling. Due to possible errors in the prediction of next-day weather condition, it combines with the ultra-short-term photovoltaic power forecasting technology and uses intraday rolling adjusted mechanism to make timely adjustments to the operating model. A case study verifies that the proposed strategy can optimize system operating costs and improve the economy of the system. This work is supported by National High-tech R & D Program of China (863 Program) (No. 2015AA050603).

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傅金洲,孙鸣.基于气候条件的光伏储能一体发电系统的能量管理策略[J].电力系统保护与控制,2018,46(24):142-149.[FU Jinzhou, SUN Ming. Energy management strategy based on weather condition for photovoltaic-energy storage integrated power system[J]. Power System Protection and Control,2018,V46(24):142-149]

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  • 收稿日期:2017-12-27
  • 最后修改日期:2018-04-17
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  • 在线发布日期: 2018-12-16
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