返回
A modified holomorphic embedding method based hybrid AC-DC microgrid load flow
DOI:10.1016/j.epsr.2020.106267.png)
摘要
En 中文
Load flow study is a steady state analytical tool for power system network analysis where mostly iterative numerical methods are used to solve the load flow equations. But with the rise in complexity of the power networks due to amalgamation of both AC and DC power system within a network, the convergence time of these iterative load flow algorithms has been increased quite high. To resolve this problem a recursive load flow method has been developed called Holomorphic Embedding Load Flow Method (HELM) which reduces time complexity and also increase the probability of existence of the load flow solution. Here a new holomorphic embedding load flow problem formulation for a hybrid AC-DC microgrid system using line impedance values has been proposed. By using Pade approximant, we solve this holomorphic embedding load flow functions which guarantees the solution of load flow problem. Comparative study with well-known load flow methods over different test cases and a practical Indian distribution grid shows the efficiency and applicability of this method over the hybrid power networks.
Keyword:
Load flow
Holomorphic embedding method
Pade approximant
AC-DC microgrid
Distribution system
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
机构
引用论文
The Holomorphic Embedding Loadflow Method for DC Power Systems and Nonlinear DC Circuits直流电源系统和非线性直流电路的全纯嵌入负载流方法
A Network-Topology-Based Approach for the Load-Flow Solution of AC-DC Distribution System With Distributed Generations基于网络拓扑的含分布式电源的交直流配电系统潮流求解方法
Ensuring Data Integrity of OPF Module and Energy Database by Detecting Changes in Power Flow Patterns in Smart Grids通过检测智能电网中潮流模式的变化,确保OPF模块和能源数据库的数据完整性

