Intelligent Dispatch of Wind-Thermal Hybrid System Based on Deep Reinforcement Learning Considering Flexible Ramping Capacity Provided by Wind Power
Author:
Affiliation:
1. Hohai University,College of Energy and Electrical Engineering,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10052109/10052115/10052417.pdf?arnumber=10052417
Reference13 articles.
1. Solution of Optimal Reactive Power Dispatch by a Hybrid GSA-SQP Algorithm
2. Finding Solutions for Optimal Reactive Power Dispatch Problem by a Novel Improved Antlion Optimization Algorithm
3. Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms
4. Multi-objective optimal reactive power dispatch using multi-objective differential evolution
5. Ramp Requirement Design for Reliable and Efficient Integration of Renewable Energy
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Evaluation of Flexible Ramping Resources in Rural Areas via the Multi-Time-Scale Carbon Flow;2023 IEEE Sustainable Power and Energy Conference (iSPEC);2023-11-28
2. Wind power output error probability density distribution fitting based on Gaussian mixture function;3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023);2023-07-21
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