Bidding strategy for trading wind energy and purchasing reserve of wind power producer – A DRL based approach

[1]  Weihao Hu,et al.  Optimal reactive power dispatch of permanent magnet synchronous generator-based wind farm considering levelised production cost minimisation , 2020 .

[2]  Haibo He,et al.  Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning , 2019, IEEE Transactions on Smart Grid.

[3]  Zhe Chen,et al.  Optimal reactive power dispatch of a full-scale converter based wind farm considering loss minimization , 2019 .

[4]  Demis Hassabis,et al.  Mastering the game of Go without human knowledge , 2017, Nature.

[5]  Chongqing Kang,et al.  Managing Wind Power Uncertainty Through Strategic Reserve Purchasing , 2017, IEEE Transactions on Power Systems.

[6]  Youyong Kong,et al.  Deep Direct Reinforcement Learning for Financial Signal Representation and Trading , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[7]  Zechun Hu,et al.  Integrated Bidding and Operating Strategies for Wind-Storage Systems , 2016, IEEE Transactions on Sustainable Energy.

[8]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[9]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[10]  Rahmat-Allah Hooshmand,et al.  Joint operation of wind farm, photovoltaic, pump-storage and energy storage devices in energy and reserve markets , 2015 .

[11]  Haoran Zhao,et al.  Review of energy storage system for wind power integration support , 2015 .

[12]  Le Xie,et al.  Risk Measure Based Robust Bidding Strategy for Arbitrage Using a Wind Farm and Energy Storage , 2013, IEEE Transactions on Smart Grid.

[13]  Ramachandra Kota,et al.  An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles , 2013, IEEE Transactions on Smart Grid.

[14]  Wei Qiao,et al.  Trading Wind Power in a Competitive Electricity Market Using Stochastic Programing and Game Theory , 2013, IEEE Transactions on Sustainable Energy.

[15]  Gong Li,et al.  Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions , 2012 .

[16]  Zhe Chen,et al.  Stochastic Optimal Wind Power Bidding Strategy in Short-Term Electricity Market , 2012 .

[17]  Xiuli Qu,et al.  Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market , 2011 .

[18]  R. Harley,et al.  Increased Wind Revenue and System Security by Trading Wind Power in Energy and Regulation Reserve Markets , 2011, IEEE Transactions on Sustainable Energy.

[19]  Zhang Yan,et al.  A review on the forecasting of wind speed and generated power , 2009 .

[20]  G. Kariniotakis,et al.  Management of Energy Storage Coordinated with Wind Power under Electricity Market Conditions , 2008, Proceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems.

[21]  A.M. Gonzalez,et al.  Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market , 2008, IEEE Transactions on Power Systems.

[22]  Morteza Rahimiyan,et al.  Supplier's optimal bidding strategy in electricity pay-as-bid auction: Comparison of the Q-learning and a model-based approach , 2008 .

[23]  P. Pinson,et al.  Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power , 2007, IEEE Transactions on Power Systems.

[24]  T.J. Hammons,et al.  Integrating Renewable Energy Sources into European Grids , 2006, Proceedings of the 41st International Universities Power Engineering Conference.

[25]  L. Soder,et al.  Minimization of imbalance cost trading wind power on the short-term power market , 2006, IEEE Transactions on Power Systems.

[26]  Mohammad Bagher Naghibi-Sistani,et al.  Application of Q-learning with temperature variation for bidding strategies in market based power systems , 2006 .

[27]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[28]  G. Strbac,et al.  Trading Wind Generation in Short-Term Energy Markets , 2002, IEEE Power Engineering Review.