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Link to original content: https://unpaywall.org/10.21227/VQN4-D248
dataset for “Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach“ | IEEE DataPort

dataset for “Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach“

Citation Author(s):
Yujian
Ye
Jianxiong
Hu
Submitted by:
Jianxiong Hu
Last updated:
Wed, 03/29/2023 - 05:56
DOI:
10.21227/vqn4-d248
License:
Creative Commons Attribution
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Categories:
Artificial Intelligence
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Abstract 

This data is for deep reinforcement leaming in real-time security constrained ecomomic dispatch on IEEE 118-bus system. The data includes system topology, wind generation and power demand for 1000 days with 5 min temporal resolution.

Instructions: 

Case118：IEEE 118-bus system topology with bus, branch, conventional units and their cost.

Wind118：the grid-connected bus and  capability of the wind power plants and active power compensators.

DailyWindGen:  temporal data of wind power generation each day with 5 min resolution. 

DailyLoadP:  temporal data of active load each day with 5 min resolution.

DailyLoadQ:  temporal data of reactive load each day with 5 min resolution. 

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