Optimal Bidding and Operation of a Power Plant with Solvent-Based Carbon Capture under a CO2 Allowance Market: A Solution with a Reinforcement Learning-Based Sarsa Temporal-Difference Algorithm

Optimal Bidding and Operation of a Power Plant with Solvent-Based Carbon Capture under a CO2 Allowance Market: A Solution with a Reinforcement Learning-Based Sarsa Temporal-Difference Algorithm

In this paper, a reinforcement learning (RL)-based Sarsa temporal-difference (TD) algorithm is applied to search for a unified bidding and operation strategy for a coal-fired power plant with monoethanolamine (MEA)-based post-combustion carbon capture under different carbon dioxide (CO2) allowance m...

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Bibliographic Details
Main Authors: Ziang Li, Zhengtao Ding, Meihong Wang
Format: Article
Language:English
Published: Elsevier 2017-04-01
Series:Engineering
Subjects:
Power plants
Post-combustion carbon capture
Chemical absorption
CO2 allowance market
Optimal decision-making
Reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809917303053

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http://www.sciencedirect.com/science/article/pii/S2095809917303053

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