Demand Response Strategy Based on the Multi-Agent System and Multiple-Load Participation

Pingliang Zeng, Jin Xu and Minchen Zhu ()
Additional contact information
Pingliang Zeng: Department of Electrical Engineering and Automation, School of Automation, Xiasha Campus, Hangzhou Dianzi University, Hangzhou 310018, China
Jin Xu: Department of Electrical Engineering and Automation, School of Automation, Xiasha Campus, Hangzhou Dianzi University, Hangzhou 310018, China
Minchen Zhu: Department of Electrical Engineering and Automation, School of Automation, Xiasha Campus, Hangzhou Dianzi University, Hangzhou 310018, China

Sustainability, 2024, vol. 16, issue 2, 1-21

Abstract: In order to improve the utilization of user-side power resources in the distribution network and promote energy conservation, this paper designs a distributed system suitable for power demand response (DR), considering multi-agent system (MAS) technology and consistency algorithms. Due to the frequent changes in the power system structure caused by changes in the load of a large number of users, this paper proposes using cluster partitioning indicators as communication weights between agents, enabling agents to utilize the distribution network for collaborative optimization. In order to achieve the integration of multiple load-side power resources and improve the refinement level of demand-side management (DSM), two types of agents with load aggregator (LA) functions are provided, which adopt the demand response strategies of Time-of-Use (TOU) or Direct Load Control (DLC) and model the uncertainty of individual device states using Monte Carlo method, so that the two typical flexible loads can achieve the target load-reduction requirements under the MAS framework. The research results demonstrate that this method achieves complementary advantages of the two types of loads participating in DR on a time scale, reducing the costs of power companies and saving customers’ electricity bills while peak shaving.

Keywords: active support; demand-side management (DSM); distributed control; distributed system; flexible load; load aggregator (LA) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/2/902/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/2/902/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:2:p:902-:d:1323250

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().