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作 者:韩俊 谢珍建 HAN Jun;XIE Zhenjian(Economic and Technological Research Institute,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,China)
机构地区:[1]国网江苏省电力有限公司经济技术研究院,江苏南京210000
出 处:《自动化仪表》2024年第11期79-84,共6页Process Automation Instrumentation
基 金:国网江苏省电力有限公司科技基金资助项目(SGJSJY00GHJS2200119)。
摘 要:在分布式光伏接入电网的情况下,由于数据量波动较大以及电网净负荷存在不确定性,可能会导致潮流计算中电压幅值、相角、有功、无功潮流期望值和标准差的平均相对误差较大。为此,提出分布式光伏接入电网净负荷不确定性潮流计算方法。计算分布式光伏接入电网后的潮流参数后,建立光伏和净负荷不确定性概率模型。引入Beta分布,以近似描述光照强度变化情况。采用中值拉丁超立方采样法采集样本,将串行计算替换为并行计算。通过改进的牛顿-拉夫逊法,执行多次潮流计算,并绘制相关指标概率密度曲线,以实现分布式光伏接入电网净负荷不确定性潮流计算。试验结果表明,所提方法电压幅值、相角、有功、无功潮流期望值和标准差平均相对误差较小,计算所用时间较短。该方法能够快速、高效地进行收敛,具有较强的鲁棒性。In the case of distributed photovoltaic access to power grid,the large fluctuations in the amount of data and the existence of uncertainty in the net load of power grid may lead to a large relative error in the average of the voltage magnitude,phase angle,active and reactive current expectation and standard deviation in the trend calculation.For this reason,the net load uncertainty current calculation method for distributed photovoltaic access to power grid is proposed.After calculating the current parameters after distributed photovoltaic access to power grid,photovoltaic and net load uncertainty probability models are established.Beta distribution is introduced to approximate the description of light intensity variation.The median Latin hypercubic sampling method is used to collect samples,and serial computation is replaced with parallel computation.Through the improved Newton-Raphson method,multiple current calculations are executed,and the probability density curves of relevant indicators are plotted in order to realize the net load uncertainty current calculation for distributed photovoltaic access to power grid.The experimental results show that the proposed method has a small average relative error in voltage magnitude,phase angle,active and reactive current expectation and standard deviation,and the time used for calculation is short.The method can converge quickly and efficiently with strong robustness.
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