Title:
METHOD FOR MANAGING DEMAND RESPONSE OF DISCRETE INDUSTRIAL MANUFACTURING SYSTEM USING CONSTRAINED REINFORCEMENT LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/085560
Kind Code:
A1
Abstract:
Demand response (DR) is considered an effective method for improving the stability and financial efficiency of a power grid. The implementation of DR for the industrial sector as a primary consumer is urgent. The present invention proposes a new industrial price-based DR management approach for an industrial discrete manufacturing system by simultaneously considering energy costs and daily production targets. In order to achieve this, the discrete manufacturing system is modeled by a constrained markov decision process (CMDP), and a constrained reinforcement learning (CRL) algorithm is used to determine cost-effective operating strategies for the discrete manufacturing system. In order to verify the performance of the method according to the present invention, a simulation was performed using an actual lithium ion battery assembly system, and the evaluation results showed that the method according to the present invention can be used to optimize energy costs without missing production targets.
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Inventors:
HONG SEUNG HO (KR)
ZHANG XIONGFENG (KR)
ZHANG XIONGFENG (KR)
Application Number:
PCT/KR2022/012145
Publication Date:
May 19, 2023
Filing Date:
August 12, 2022
Export Citation:
Assignee:
NESTFIELD CO LTD (KR)
International Classes:
G06Q50/06; G06F17/15; H02J3/14
Foreign References:
| KR20190132193A | 2019-11-27 | |||
| KR20180032492A | 2018-03-30 | |||
| KR20190132187A | 2019-11-27 | |||
| KR20190061451A | 2019-06-05 | |||
| KR101472582B1 | 2014-12-16 |
Attorney, Agent or Firm:
MI PATENT AND LAW FIRM (KR)
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