Regular Article

The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm

¹ School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510000, Guangdong, China
² Guangdong DangTec Industrial Technology Co., Ltd., Guangzhou 510000, Guangdong, China

^* Corresponding author: 1122201051@mail2.gdut.edu.cn; pei_zhang67@outlook.com

Received: 13 April 2024
Accepted: 11 June 2024

Abstract

This work expands on previous research to offer a state-of-the-art approach for optimizing the dispatching of cogeneration systems, given the limitations faced by conventional coal-fired cogeneration units and the increasing environmental standards. Acknowledging the constraints of flexibility in winter heating, the study aims to improve unit coal use optimization and lower emissions. The paper presents a novel optimization approach for distributing electricity and heat in cogeneration units, utilizing the Deep Q-Network (DQN) algorithm. The suggested approach reduces operating expenses and improves system dependability using a sixth-order function fitting and fuzzy set space division. The study’s results indicate a significant 8.96% increase in performance, demonstrating the effectiveness of the DQN-based strategy in enabling cost-effective scheduling in cogeneration systems. This research offers a road towards sustainable and effective energy use and contributes to the development of cogeneration technology. It also has potential applications in natural energy systems.