Access Mechanism of Power SDN Controller Based on Multi-level Distributed Control
TL;DR
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.
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.