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ew 26(1):

Editorial

Access Mechanism of Power SDN Controller Based on Multi-level Distributed Control

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  • @ARTICLE{10.4108/ew.13020,
        author={Yuanjie Liu  and Zhongmiao Kang and Jiajia Fu and Fan Zha and Jiakang Guo and Guangyu Hu},
        title={Access Mechanism of Power SDN Controller Based on Multi-level Distributed Control},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={13},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2026},
        month={9},
        keywords={Regional-level collaborative access, PPO-FC-ACO, Resource scheduling, TS-IGA, Access path optimization},
        doi={10.4108/ew.13020}
    }
    
  • Yuanjie Liu
    Zhongmiao Kang
    Jiajia Fu
    Fan Zha
    Jiakang Guo
    Guangyu Hu
    Year: 2026
    Access Mechanism of Power SDN Controller Based on Multi-level Distributed Control
    EW
    EAI
    DOI: 10.4108/ew.13020
Yuanjie Liu 1,*, Zhongmiao Kang1, Jiajia Fu1, Fan Zha2, Jiakang Guo2, Guangyu Hu2
  • 1: Guangdong Power Grid Power Dispatching Control Center
  • 2: NARI Information & Communication Technology Co., Ltd.
*Contact email: lyj1234202512@163.com

Abstract

INTRODUCTION: With the transformation of the power system towards intelligence and informatization, the traditional single-domain centralized architecture has problems such as high load pressure, poor compatibility and insufficient real-time performance. OBJECTIVES: In order to enhance the compatibility, real-time performance and multi-level collaborative efficiency of power software-defined network controller access. METHODS: Using Ant Colony Optimization (ACO) and IGA Immune Genetic Algorithm (IGA) as the core optimization frameworks, this research innovatively constructs an intelligent access model for power software-defined network controllers based on multi-level distributed control. RESULTS: Experiments show that the load balancing degree and access delay of the research model are 0.898 and 33.4ms respectively, the decision consistency and load migration efficiency are 97.4% and 97.8% respectively, the success rate of parallel access of multi-level controllers is 98.0%, and the average error is 1.51%. Moreover, when multiple numbers and types of controllers are connected, the interface matching degree exceeds 80.00%. Meanwhile, the anti-interference ability and compatibility of the research model are both superior to those of the comparison model. CONCLUSION: The research model provides an efficient solution for the intelligent access of power software-defined network controllers and contributes to promoting the high-quality development of power communication networks.

Keywords
Regional-level collaborative access, PPO-FC-ACO, Resource scheduling, TS-IGA, Access path optimization
Received
2026-05-14
Accepted
2026-07-15
Published
2026-09-07
Publisher
EAI
http://dx.doi.org/10.4108/ew.13020

Copyright © 2026 Yuanjie Liu et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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