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

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.