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An optimal capacity configuration method of wind/PV and energy storage co-generation system

机译:风电/光伏与储能联产系统的最优容量配置方法

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Taking full advantages of the complementary characteristics of the wind power, the solar power and the energy storage devices, the wind, PV and energy storage (wind-PV-ES) co-generation system with reasonable capacity configuration can get stable power output, thus improving the power quality and significantly reducing the impact of power volatility on the grid. In the paper, based on historical data of wind and solar resources, the sum of the peak-vale slopes, power output fluctuation rates and active power deviation rates are chosen as evaluation indexes for the large-scale wind-PV-ES generation system. The probability distribution of the evaluation indexes and the probability change rate of the indexes in the range of fluctuation thresholds during the study period are analyzed by a statistical method. On this basis, an optimal capacity configuration method, which aims to smooth the output by maximizing the probability that the requirements for power change rate of co-generation system are satisfied, is put forward. Finally, the proposed method is verified by an example.
机译:充分利用风能,太阳能和储能装置的互补特性,合理配置容量的风能,光伏和储能(wind-PV-ES)热电联产系统可获得稳定的电力输出,改善电能质量,并显着减少电力波动对电网的影响。本文基于风能和太阳能资源的历史数据,选择峰谷斜率之和,功率输出波动率和有功功率偏差率之和作为大规模风能PV-ES发电系统的评估指标。采用统计方法分析研究期间波动阈值范围内评价指标的概率分布和指标的概率变化率。在此基础上,提出了一种优化容量配置的方法,旨在通过最大化满足热电联产系统功率变化率要求的概率来平滑输出。最后,通过实例验证了该方法的有效性。

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