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Open AccessArticle

An Orderly Power Utilization Scheme Based on an Intelligent Multi-Agent Apanage Management System

1
College of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China
2
College of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 200235, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(23), 4563; https://doi.org/10.3390/en12234563
Received: 27 October 2019 / Revised: 25 November 2019 / Accepted: 26 November 2019 / Published: 29 November 2019
Orderly power utilization (OPU) is an important measure to alleviate contradiction between supply and demand in a power system peak load period. As a load management system becomes smarter, it is necessary to fully explore the interactive ability among users and make schemes for OPU more applicable. Therefore, an intelligent multi-agent apanage management system that includes a mutual aid mechanism (MAM) is proposed. In the decision-making scheme, users’ participation patterns and the potential of peak shifting and willingness are considered, as well as the interests of both power consumers and power grid are comprehensively considered. For residential users, the charging time for their electric vehicles (EVs) is managed to consume the locally distributed power generation. To fully exploit user response potential, the algorithm for improved clustering by fast search and find of density peaks (I-CFSFDP), i.e., clusters the power load curve, is proposed. To conduct electrical mutual aid among users and adjust the schemes reasonably, a multi-objective optimization model (M2OM) is established based on the cluster load curves. The objectives include the OPU control cost, the user’s electricity cost, and the consumption of distributed photovoltaic (PV). Our results of a case study show that the above method is effective and economical for improving interactive ability among users. Agents can coordinate their apanage power resources optimally. Experiments and examples verify the practicability and effectiveness of the improved algorithm proposed in this study. View Full-Text
Keywords: demand-side response; orderly power utilization; improved clustering by fast search and find of density peaks (I-CFSFDP); multi-agent system; multi-objective optimization demand-side response; orderly power utilization; improved clustering by fast search and find of density peaks (I-CFSFDP); multi-agent system; multi-objective optimization
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MDPI and ACS Style

Jin, R.; Zuo, D.; Zhang, X.; Sun, W. An Orderly Power Utilization Scheme Based on an Intelligent Multi-Agent Apanage Management System. Energies 2019, 12, 4563.

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