RESEARCH PAPER
Enhancing Flexibility and Reliability in Smart Distribution Networks: A Self-Healing Approach
1
State Grid Henan Information & Telecommunication Company，State Grid Henan Electric Power Company，Zhengzhou 450000，China
Submission date: 2024-08-05
Final revision date: 2024-09-26
Acceptance date: 2024-10-26
Online publication date: 2024-11-03
Publication date: 2024-11-03
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):195269
HIGHLIGHTS
- Modeling of self-healing in a smart distribution network with integrated microgrids.
- Restoration patterns and planning profiles patterns considering errors in microgrids.
- Autonomous distributed restoration technology through a multi-agent system.
- Reliable solver with low solution deviation,enhancing security in reconstruction process.
- Flexibility in the smart distribution network for effective operation and management.
KEYWORDS
Autonomous Distributed RegenerationEnergy Management AlgorithmMulti-Agent SystemsSelf-Healing SystemSmart Distribution Network
TOPICS
ABSTRACT
This paper presents a pioneering approach that integrates a Self-Healing System through a Smart Distribution Network, which employs a two-step implementation of a comprehensive Energy Management algorithm and a multi-agent system with an autonomous distributed regeneration method. The novel method improves network operation through optimized management of local microgrids, which include diverse components comprising renewable energy sources, electric vehicle charging infrastructure, and energy storage systems. The first phase concentrates on minimizing network operation costs by adhering to system utilization restrictions and optimal load distribution, while the second phase addresses the optimization of regeneration processes, which decreases discrepancies between recoverable priority loads and switching operations. The evaluation introduces a stochastic programming approach to model and manage uncertainties, and utilizes the Kantorovich method and the roulette wheel mechanism to improve reliability. ...
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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