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

Authors

  • Yuanjie Liu Guangdong Power Grid Power Dispatching Control Center https://orcid.org/0009-0003-6087-3946
  • Zhongmiao Kang Guangdong Power Grid Power Dispatching Control Center
  • Jiajia Fu Guangdong Power Grid Power Dispatching Control Center
  • Fan Zha NARI Information & Communication Technology Co., Ltd.
  • Jiakang Guo NARI Information & Communication Technology Co., Ltd.
  • Guangyu Hu NARI Information & Communication Technology Co., Ltd.

DOI:

https://doi.org/10.4108/ew.13020

Keywords:

Regional-level collaborative access, PPO-FC-ACO, Resource scheduling, TS-IGA, Access path optimization

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.

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References

[1] Shihab Hamad Khaleefah Al-Dulaim, Salama Mostafa, Saraswathy Shamini Gunasekaran, Umar Farooq Khattak, Siti Salwani Yaacob, Alde Alanda, et al. A deep learning-based fault detection and classification in smart electrical power transmission system. JOIV: International Journal on Informatics Visualization, March, 2024, 8(2): 812-818.

[2] Alfan Presekal, Alexandru Stefanov, Vetrivel Rajkumar, Peter Palensky, et al. Attack graph model for cyber-physical power systems using hybrid deep learning. IEEE Transactions on Smart Grid, January, 2023, 14(5): 4007-4020.

[3] Ricard Vilalta, Lluis Gifre, Ramon Casellas Raul Muñoz, Ricardo Martinez, Alberto Mozo, Antonio Pastor, Diego R. Lopez, Juan Pedro Fernández-Palacios, et al. Applying digital twins to optical networks with cloud-native SDN controllers. IEEE Communications Magazine, August, 2023, 61(12): 128-134.

[4] Mohammed A. Awadallah, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Lamees Mohammad Dalbah, Aneesa Al-Redhaei, et al. Multi-objective ant colony optimization. Archives of Computational Methods in Engineering, September, 2025, 32(2): 995-1037.

[5] Aslan and Erkin. An immune plasma algorithm based approach for UCAV path planning. Journal of King Saud University-Computer and Information Sciences, January, 2023, 35(1): 56-69.

[6] Frdiesa. A controller placement algorithm using ant colony optimization in software-defined network. International Journal of Wireless Information Networks, March, 2024, 31(2): 142-154.

[7] Yuesheng Tan, Jie Ouyang, Zhuo Zhang, Yinglun Lao, Pengju Wen, et al. Path planning for spot welding robots based on improved ant colony algorithm. Robotica, March, 2023, 41(3): 926-938.

[8] Mani Sharifi, Ali Sayyad, Sharareh Taghipour, Abdolreza Abhari, et al. Optimizing a joint reliability-redundancy allocation problem with common cause multi-state failures using immune algorithm. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, February, 2023, 237(1): 152-165.

[9] Behera and Gangopadhyay. Evolving bijective S-Boxes using hybrid adaptive genetic algorithm with optimal cryptographic properties. Journal of Ambient Intelligence and Humanized Computing, March, 2023, 14(3): 1713-1730.

[10] Anil Ram, Manash Pratim Dutta, Swarnendu Kumar Chakraborty, et al. A flow-based performance evaluation on RYU SDN controller. Journal of The Institution of Engineers (India): Series B, January, 2024, 105(2): 203-215.

[11] Gagan Deep Singh, Vikas Tripathi, Ankur Dumka, Rajkumar Singh Rathore, Mohit Bajaj, José Escorcia-Gutierrez, Nojood O. Aljehane, Vojtěch Blažek, Lukas Prokop, et al. A novel framework for capacitated SDN controller placement: Balancing latency and reliability with PSO algorithm. Alexandria Engineering Journal, January, 2024, 87: 77-92.

[12] Hafiz Usama Ishtiaq, Areeb Ahmed Bhutta, Adnan Noor Mian, et al. DHCP DoS and starvation attacks on SDN controllers and their mitigation. Journal of Computer Virology and Hacking Techniques, March, 2024, 20(1): 15-25.

[13] Anil Kumar Bandani, Shaik Riyazuddien, Parameshachari B D, Sujata Patil, Arvind Ganesh, et al. Multiplicative long short-term memory-based software-defined networking for handover management in 5G network. Signal, Image and Video Processing, April, 2023, 17(6): 2933-2941.

[14] Radu-Emil Precup, Anh-Tu Nguyen, Saso Blazic, et al. A survey on fuzzy control for mechatronics applications. International Journal of Systems Science, December, 2024, 55(4): 771-813.

[15] Xu Zhongkai, Chu Chenyang, Xie Kai, Zhao Ruizhuo, Ke Wenjun, et al. Optimization Dispatch Method for High-proportion Renewable Energy Power Systems Based on SC-PPO. Journal of System Simulation, November, 2025, 37(10): 2511-2521.

[16] Gyeong Ho Lee, Hyunseo Park, Jae Won Jang, Jaeseob Han, Jun kyun Choi, et al. PPO-based autonomous transmission period control system in IoT edge computing. IEEE Internet of Things Journal, July, 2023, 10(24): 21705-21720.

[17] Yan Sun, Yin Wu, Yan Wu, Kai Liang, Cuihong Dong, Shiwei Liu, et al. Optimizing intelligent startup strategy of power system using PPO algorithm. Intelligent Decision Technologies, November, 2024, 18(4): 3091-3104.

[18] Mansour and Al-hamdani. Tabu Search Algorithm to Optimize Layout Design for a Multi Objective Plant Function. Passer Journal of Basic and Applied Sciences, December, 2024, 6(2): 446-452.

[19] Saida El Bakali, Hamid Ouadi, Giri Fouad, Saad Gheouany, Nada Mounir, Ismael Jrhilifa, et al. Tabu search algorithm for optimal electric water heating energy management. IFAC-PapersOnLine, July, 2024, 58(13): 835-840.

[20] Junqi Zhang, Huan Liu, Peng Zu, Mengshi Zhao, Cheng Wang, Aiiad Albeshri, Abdullah Abusorrah, MengChu Zhou, et al. Using tabu search to avoid concave obstacles for source location. IEEE Transactions on Intelligent Transportation Systems, July, 2023, 24(11): 11720-11732.

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Published

07-09-2026

Issue

Section

Digital Twin Technologies for Smart Energy Systems

How to Cite

1.
Yuanjie Liu, Kang Z, Fu J, Zha F, Guo J, Hu G. Access Mechanism of Power SDN Controller Based on Multi-level Distributed Control. EAI Endorsed Trans Energy Web [Internet]. 2026 Sep. 7 [cited 2026 Sep. 7];13. Available from: https://publications.eai.eu/index.php/ew/article/view/13020

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