Source-Network-Load-Storage Cooperative Scheduling Based on Nash-Q Algorithm

Author:

Hui Huang1,Yonggang Li1,Huazhi Liu2

Affiliation:

1. North China Electric Power University,Department of Electrical Engineering,Baoding,China

2. Electric Power Research Institute,State Grid Tianjin,Tianjin,China

Publisher

IEEE

Reference17 articles.

1. Operation strategy and benefit analysis of pumped storage power station in power market [J];hongji;Journal of North China Electric Power University (Natural Science Edition),2021

2. Opti-mal capacity configuration of pumped storage power station in wind-light-fire-pumping and storage system [J];mengzeng;Electric Power Construction,2021

3. Wind storage cooperative decision-making based on reinforcement learning method[J];guojing;Power System Technology,2016

4. Study on the combined optimal economic dispatching of wind storage and Fire considering the uncertainty of wind power [J];bo;Electric Power Engineering Technology,2022

5. Nash q-learning for general-sum stochastic games[J];hu;Journal of Machine Learning Research,2003

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