首页> 外文期刊>Generation, Transmission & Distribution, IET >Load flow calculation for droop-controlled islanded microgrids based on direct Newton–Raphson method with step size optimisation
【24h】

Load flow calculation for droop-controlled islanded microgrids based on direct Newton–Raphson method with step size optimisation

机译:基于Direct Newton-Raphson方法的下垂控制岛微电网的负载流量计算

获取原文
获取原文并翻译 | 示例
           

摘要

Load flow calculation for droop-controlled islanded microgrids (IMGs) is different from that of transmission or distribution systems due to the absence of slack bus and the variation of frequency. Meanwhile considering the common three-phase imbalance condition in low-voltage systems, a load flow algorithm based on the direct Newton-Raphson (NR) method with step size optimisation for both three-phase balanced and unbalanced droop-controlled IMGs is proposed in this study. First, the steady-state models for balanced and unbalanced droop-controlled IMGs are established based on their operational mechanisms. Then taking frequency as one of the unknowns, the non-linear load flow equations are solved iteratively by the NR method. Generally, iterative load flow algorithms are faced with challenges of convergence performance, especially for unbalanced systems. To tackle this problem, a step-size-optimisation scheme is employed to improve the convergence performance for three-phase unbalanced IMGs. In each iteration, a multiplier is deduced from the sum of higher-order terms of Taylor expansion of the load flow equations. Then the step size is optimised by the multiplier, which can help smooth the iterative process and obtain the solutions. The proposed method is performed on several balanced and unbalanced IMGs. Numerical results demonstrate the correctness and effectiveness of the proposed algorithm.
机译:由于没有松弛总线和频率变化,下垂控制的岛状微电网(IMG)的负荷流量计算与传输或分配系统的负载流量不同。同时,考虑到低压系统中的常见三相不平衡条件,提出了一种基于直接牛顿-Raphson(NR)方法的负载流量算法,其中提出了三相平衡和不平衡下垂控制的IMG的阶梯尺寸优化学习。首先,基于其运行机制建立平衡和不平衡下垂控制IMG的稳态模型。然后将频率作为未知数之一,通过NR方法迭代地解决非线性负载流程方程。通常,迭代负载流算法面临着收敛性能的挑战,特别是对于不平衡系统。为了解决这个问题,采用梯度大小优化方案来提高三相不平衡IMG的收敛性能。在每次迭代中,从负载流程方程的泰勒膨胀的高阶项的总和推导出乘数。然后,乘法器优化步长,可以帮助平滑迭代过程并获得解决方案。所提出的方法是对几种平衡和不平衡的IMG进行的。数值结果证明了所提出的算法的正确性和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号