计及预测偏差的光伏消纳多时间尺度调度研究
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国家高技术研究发展计划(863计划)资助项目(2015AA050401)


Research on Multi-time Scheduling of Accommodating PhotovoltaicConsidering the Error of Photovoltaic Prediction
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The National High Technology Research and Development Program of China (863 Program)

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    摘要:

    考虑光伏发电预测具有不确定性的特点,从电力市场环境下的售电商角度出发,利用蓄电池、空调需求响应资源消纳和跟踪光伏发电,在保证经济性且光伏发电预测值的偏差有足够的需求侧资源消纳的条件下,建立了多时间尺度调度模型。在日前调度中采用机会约束考虑光伏预测偏差,转化为确定性等价条件求解,日内调度中以调整量最小和不平衡量最小为双目标对光伏发电进行跟踪。仿真结果表明,在日前调度中考虑光伏预测偏差可以有效改善新能源的消纳情况,提高售电商收益,置信水平越高,光伏跟踪情况越好,实际日收益与日内调度成本有关。

    Abstract:

    From the perspective of power suppliers in electricity market,the multi-time scheduling model is built considering the uncertainty of photovoltaic power prediction,photovoltaic is consumed and tracked by using battery and air-conditioning demand response resource.The model ensures the economy and the sufficiency of demand response resources that can consume the error of the value of photovoltaic forecast.The uncertainty of photovoltaic power is taken as chance constraint in the day-ahead scheduling model and converted into certainty equivalent condition when solved,the minimum unbalance and minimum regulation are taken as objects in the intra-day scheduling model.Based on the simulation results,considering the error of the value of photovoltaic forecast in the day-ahead scheduling can effectively improve the consumption of new energy and the benefits of supplier is verified.The higher confidence degree causes the better photovoltaic tracking.The actual daily benefit is related to the cost of intra-day scheduling.

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宋阳,张静页,王磊,佟晓宁.计及预测偏差的光伏消纳多时间尺度调度研究[J].电力工程技术,2018,37(1):58-64

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  • 收稿日期:2017-09-20
  • 最后修改日期:2017-10-15
  • 录用日期:2017-11-03
  • 在线发布日期: 2018-01-31
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