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Medium and long term load forecasting method for distribution network with high penetration DGs

机译:高渗透率分布式电源的配电网中长期负荷预测方法

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Middle and long term load forecasting is the essential basis for planning of distribution network. With high penetration DGs (distributed generation) integrated into network, the net load demand of HV/MV network become more complicated, load forecasting encounters greater challenge than ever. Volatility and intermittency of wind and solar power has greatly influenced the load characteristics. A new middle and long term load forecasting method for distribution network with DGs is proposed in this paper, which concerns time-varying characteristic of DG output power. Firstly, we get the conventional spatial load forecasting results. Then, we get yearly time-varying curves of DG output using Monte Carlo simulation. Lastly, superposing time-varying curves of conventional load and DGs, we can get the net-load forecasting result for distribution network, which is more accurate than ever.
机译:中长期负荷预测是配电网规划的必要基础。随着高渗透率DG(分布式发电)集成到网络中,HV / MV网络的净负荷需求变得更加复杂,负荷预测比以往任何时候都面临更大的挑战。风能和太阳能的波动性和间歇性极大地影响了负荷特性。提出了一种新的配电网中长期负荷预测方法,该方法关注配电网输出功率的时变特性。首先,我们获得了常规的空间负荷预测结果。然后,使用蒙特卡洛模拟获得DG输出的年度时变曲线。最后,通过叠加常规负荷和分布式发电的时变曲线,可以得到配电网的净负荷预测结果,比以往任何时候都更加准确。

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