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Comparison of reconfiguration results before and after reconstruction (69-bus system).

NIAID Data Ecosystem2026-03-10 收录

数据链接：

https://figshare.com/articles/dataset/Comparison_of_reconfiguration_results_before_and_after_reconstruction_69-bus_system_/4481762 数据链接链接失效反馈

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资源简介：

Comparison of reconfiguration results before and after reconstruction (69-bus system).

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创建时间：

2016-12-20

电力系统优化

直流潮流

This letter presents a new formulation for the loss-concerned dc power flow that is suitable for optimization-based power system operation and planning. The proposed approach equivalently recasts a pr

DataCite Commons2024-06-20 更新250

Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment

深度学习

电力系统优化

A spatio-temporal (ST) machine learning (ML) model for security-constrained unit commitment (SCUC) solution acceleration. The ML architecture with GNN and LSTM layers. Includes two models, one for nod

DataCite Commons2025-06-01 更新40

Increasing The Value Of Wind - From Passive To Active Actors In The Power Markets (On-Line Appendix)

风电市场策略

电力系统优化

Mathematical formulations and input data for the evaluation of the different market participation strategies.

Zenodo2018-05-09 更新20

GridSFM_US_power_grid

电力系统优化

输电网络规划

GridSFM美国电网数据集是一个基于公开数据构建的地理位置明确、电气连贯的电力系统网络数据集，旨在支持交流最优潮流（AC-OPF）分析，用于研究拥堵、容量和需求分布等物理基础问题。数据集包含48个美国本土州和6个多州区域的54个OPF就绪的输电网络模型，每个模型包括总线-分支拓扑、估计的电气参数（线路阻抗、变压器特性）、发电机属性（容量、燃料类型、成本函数）、每小时需求分配、直流预热启动解决方案

Hugging Face2026-05-08 更新220

SSOCP Power Flow Optimization Results

电力系统优化

最优潮流计算

This data set encompasses the optimal power flow and maximum loadability results related to the paper entitled “Sequential Convex Programming for Tightening Second-Order Cone AC Power Flow Relaxations

IEEE2021-01-01 更新30

Comparison of reconfiguration results before and after reconstruction (69-bus system).

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