.png){kind=icon}
返回
PowerModelsADA: A Framework for Solving Optimal Power Flow Using Distributed Algorithms
.png){kind=icon}
OA
AI
DOI：10.1109/TPWRS.2023.3318858.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This letter presents PowerModelsADA, an open-source framework for solving Optimal Power Flow (OPF) problems using Alternating Distributed Algorithms (ADA). PowerModelsADA provides a framework to test, verify, and benchmark both existing and new ADAs. This letter demonstrates use cases for PowerModelsADA and validates its implementation with multiple OPF formulations.
Keyword:
Load flow
Generators
Optimization
Data structures
Benchmark testing
Loading
Distributed algorithms
Distributed optimization
optimal power flow
期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
机构
引用论文
.png){kind=icon}
分享收藏A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems电力系统分布式优化与控制算法综述
OAAI
OAAI分享收藏分享收藏MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and EducationMATPOWER: 用于电力系统研究和教育的稳态操作，规划和分析工具OAAI
OAAI分享收藏
查看更多内容