Multi-Agent Deep Reinforcement Learning for Sectional AGC Dispatch
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Tao Yu | Jiawen Li | Dan Lin | Zhuohuan Li | Hanxin Zhu | Fusheng Li | Tao Yu | Jiawen Li | Fusheng Li | Dan Lin | Zhuohuan Li | Hanxin Zhu
[1] Yi Wu,et al. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments , 2017, NIPS.
[2] Tao Yu,et al. Consensus Transfer ${Q}$ -Learning for Decentralized Generation Command Dispatch Based on Virtual Generation Tribe , 2018, IEEE Transactions on Smart Grid.
[3] Canbing Li,et al. Distributed Multi-Energy Operation of Coupled Electricity, Heating, and Natural Gas Networks , 2020, IEEE Transactions on Sustainable Energy.
[4] L.M.R. Carvalho,et al. Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including a Perturbing Parameter , 2009, IEEE Latin America Transactions.
[5] Tao Yu,et al. Hierarchical correlated Q-learning for multi-layer optimal generation command dispatch , 2016 .
[6] Tao Yu,et al. Culture Evolution Learning for Optimal Carbon-Energy Combined-Flow , 2018, IEEE Access.
[7] Tao Yu,et al. Fast Stackelberg equilibrium learning for real-time coordinated energy control of a multi-area integrated energy system , 2019, Applied Thermal Engineering.
[8] Joshua B. Tenenbaum,et al. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , 2016, NIPS.
[9] Bo Yang,et al. Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems , 2019, Neurocomputing.
[10] Canbing Li,et al. Taxonomy research of artificial intelligence for deterministic solar power forecasting , 2020, Energy Conversion and Management.
[11] Tao Yu,et al. Artificial emotional reinforcement learning for automatic generation control of large-scale interconnected power grids , 2017 .
[12] Tao Yu,et al. Lifelong Learning for Complementary Generation Control of Interconnected Power Grids With High-Penetration Renewables and EVs , 2018, IEEE Transactions on Power Systems.
[13] Yitao Liu,et al. Deep belief network based deterministic and probabilistic wind speed forecasting approach , 2016 .
[14] Tao Yu,et al. Optimal Mileage Based AGC Dispatch of a GenCo , 2020, IEEE Transactions on Power Systems.
[15] Tao Yu,et al. Stochastic optimal generation command dispatch based on improved hierarchical reinforcement learning approach , 2011 .
[16] Feng Liu,et al. Explicit MPC Based on the Galerkin Method for AGC Considering Volatile Generations , 2020, IEEE Transactions on Power Systems.
[17] Xiaoming Huang,et al. Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy , 2021 .
[18] Lei Xi,et al. A wolf pack hunting strategy based virtual tribes control for automatic generation control of smart grid , 2016 .
[19] Jianchun Peng,et al. A review of deep learning for renewable energy forecasting , 2019, Energy Conversion and Management.
[20] W. Yao,et al. Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification , 2020 .