Application of a Gradient Descent Continuous Actor-Critic Algorithm for Double-Side Day-Ahead Electricity Market Modeling

Application of a Gradient Descent Continuous Actor-Critic Algorithm for Double-Side Day-Ahead Electricity Market Modeling

An important goal of China’s electric power system reform is to create a double-side day-ahead wholesale electricity market in the future, where the suppliers (represented by GenCOs) and demanders (represented by DisCOs) compete simultaneously with each other in one market. Therefore, modeling and s...

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Bibliographic Details
Main Authors: Huiru Zhao, Yuwei Wang, Sen Guo, Mingrui Zhao, Chao Zhang
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Energies
Subjects:
bidding strategy
double-side day-ahead electricity market
gradient descent continuous Actor-Critic (GDCAC) algorithm
reinforcement learning
market clearing price (MCP)
Online Access:http://www.mdpi.com/1996-1073/9/9/725

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