Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10375285/10098904.pdf?arnumber=10098904
Reference47 articles.
1. Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids
2. The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment
3. Security Constrained Unit Commitment with Corrective Transmission Switching
4. Network Reconfiguration Impact on Renewable Energy System and Energy Storage System in Day-Ahead Scheduling
5. Reducing Congestion-Induced Renewable Curtailment with Corrective Network Reconfiguration in Day-Ahead Scheduling
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