Sensitivity-based relaxation and decomposition method to dynamic reactive power optimisation considering DGs in active distribution networks
Sensitivity-based relaxation and decomposition method to dynamic reactive power optimisation considering DGs in active distribution networks
复制标题
主动配电网中考虑DG的动态无功优化的基于灵敏度的松弛分解方法
DOI：
10.1049/iet-gtd.2016.0303
复制
发表时间：
2017
影响因子：
2.5
通讯作者：
Bie Zhaohong
中科院分区：
文献类型：
--
作者：
Ding Tao;Liu Shiyu;Wu Zhongyu;Bie Zhaohong
随着有源配电网的发展，过电压、网损等新问题日益突出。无功功率优化作为一种电压控制措施，通过协调连续和离散无功功率补偿器，同时保证特定的物理和操作约束，使总传输损耗最小化。为了解决离散控制变量的日常运行时间，动态无功优化（DRPO）被设置为在考虑跨时间约束的情况下，在多个时间段内最小化总能量损耗。然而，DRPO实际上是一个大规模的混合整数非线性非凸规划，难以求解。因此，采用二阶锥松弛非凸潮流方程，得到混合整数二阶锥规划模型。此外，提出了一种基于灵敏度的松弛和分解方法，以进一步提高计算性能。在IEEE-33、123和615节点系统以及中国两个真实的配电网上，将该方法的解质量和计算性能与传统方法进行了比较。实验结果表明了该方法的快速性和有效性.
With the development of active distribution networks, new challenges such as overvoltage and power loss become critical. The reactive power optimisation serves as a voltage control measure to minimise the total transmission loss by coordinating the continuous and discrete reactive power compensators while guaranteeing the specific physical and operating constraints. To address the daily operating times of discrete control variables, the dynamic reactive power optimisation (DRPO) is set up to minimise total energy loss over several time periods when considering the inter‐temporal constraints. However, DRPO is in fact a large‐scale mixed integer non‐linear non‐convex programming that is difficult to solve. Therefore, second‐order cones are employed to relax the non‐convex power flow equations to obtain a mixed integer second order cone programming model. Furthermore, a sensitivity‐based relaxation and decomposition method is proposed to further improve the computational performance. Solution quality and computational performance are compared with traditional methods on IEEE‐33, 123 and 615‐bus systems as well as two real‐world distribution networks in China. The Results demonstrate that the fast performance and effectiveness of the proposed technique.