Stochastic loss minimization for power distribution networks
Stochastic loss minimization for power distribution networks
复制标题
配电网络的随机损耗最小化
DOI：
10.1109/naps.2014.6965430
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
G. Giannakis
中科院分区：
文献类型：
--
作者：
V. Kekatos;G. Wang;G. Giannakis
由于分布式可再生能源发电、需求响应和电动汽车的整合，配电系统将受到反向电流和电压波动的严峻挑战。然而，同样的变革加上微电子技术的进步，为配电网的无功管理提供了新的机会。在此背景下，考虑到分布式发电和需求的时变性，本文提出了一种随机损耗最小化方案。针对不确定的有功功率注入，设计了一种随机无功控制算法。利用最近的最优潮流问题的凸松弛，证明了功率损失的次梯度可以作为相关二阶锥规划（SOCP）的拉格朗日乘子来获得。对47母线高光伏穿深试验馈线的数值试验验证了该方法的功率效率和电压分布优于确定性方法。
Distribution systems will be critically challenged by reverse power flows and voltage fluctuations due to the integration of distributed renewable generation, demand response, and electric vehicles. Yet the same transformative changes coupled with advances in microelectronics offer new opportunities for reactive power management in distribution grids. In this context and considering the increasing time-variability of distributed generation and demand, a scheme for stochastic loss minimization is developed here. Given uncertain active power injections, a stochastic reactive control algorithm is devised. Leveraging the recent convex relaxation of optimal power flow problems, it is shown that the subgradient of the power losses can be obtained as the Lagrange multiplier of the related second-order cone program (SOCP). Numerical tests on a 47-bus test feeder with high photovoltaic penetration corroborates the power efficiency and voltage profile advantage of the novel stochastic method over its deterministic alternative.