On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement
On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement
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DOI：
10.1109/tste.2016.2640239
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发表时间：
2017-07
影响因子：
8.8
通讯作者：
F. Ding;B. Mather
中科院分区：
文献类型：
--
作者：
F. Ding;B. Mather
本文首先研究了估计的分布式光伏（PV）托管容量的17个公用事业配电馈线使用蒙特卡罗模拟的随机分析，然后分析了光伏托管容量的敏感性，馈线和光伏系统的特性。此外，主动配电网络管理方法，提出了最大限度地提高光伏托管容量的最佳开关电容器，调整电压调节器抽头，管理可控分支开关，并控制智能光伏逆变器。该方法被配制成一个混合整数非线性优化问题，并开发了遗传算法来获得解决方案。多个仿真案例进行了研究，所提出的方法在增加光伏托管容量的有效性进行了证明。
This paper first studies the estimated distributed photovoltaic (PV) hosting capacities of 17 utility distribution feeders using the Monte Carlo simulation based stochastic analysis, and then analyzes the sensitivity of PV hosting capacity to both feeder and PV system characteristics. Furthermore, an active distribution network management approach is proposed to maximize PV hosting capacity by optimally switching capacitors, adjusting voltage regulator taps, managing controllable branch switches, and controlling smart PV inverters. The approach is formulated as a mixed-integer nonlinear optimization problem and a genetic algorithm is developed to obtain the solution. Multiple simulation cases are studied and the effectiveness of the proposed approach on increasing PV hosting capacity is demonstrated.