Active Distribution Network Routing with Service-Demand Prioritization
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Solution Overview
Problem
The challenge in active distribution networks is coordinating the routing and forwarding of diverse service traffics with different demands for real-time performance and reliability, and ensuring the real-time transmission of regulation instructions despite potential communication link failures due to network attacks or natural disasters.
Innovation Solution
A method and system for service demand-driven routing scheduling that evaluates physical and information importance indices, generates a comprehensive importance index, and uses a route scheduling optimization model to allocate traffic based on importance and path performance, with dynamic path reselection upon link failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional distribution network is used, then system simplicity is maintained, but real-time transmission capability and reliability for multi-service traffic cannot be ensured
Solution Approach 1:
The patent segments the distribution network into multiple communication nodes and route links, each with independently evaluated importance indices. This segmentation allows targeted routing strategies for different traffic types without requiring complete system redesign, thus improving reliability while managing complexity through modular evaluation.
Solution Approach 2:
The patent introduces parameter changes by evaluating and assigning different importance indices (physical and information) to various nodes and links based on their characteristics. This parameter-based differentiation enables the system to dynamically adjust routing decisions for different service traffics, improving real-time transmission reliability without uniformly increasing system complexity.
2Reliability
If unified routing strategy is used for all service traffics, then routing simplicity is maintained, but service-specific real-time performance and reliability requirements cannot be met
Solution Approach 1:
The patent applies local quality by assigning different importance indices to different physical nodes and information nodes based on their specific characteristics and service requirements. This localized differentiation enables the routing system to provide service-specific transmission reliability through node-level and link-level importance evaluation, rather than applying a uniform routing strategy.
Solution Approach 2:
The patent introduces dynamics by enabling the routing system to adaptively select paths based on real-time evaluation of physical and information importance indices. The system can dynamically adjust routing decisions for different service traffics (e.g., emergency services vs. economic services) according to their specific requirements, improving service-specific reliability while managing coordination complexity through automated evaluation.
3Reliability
If static routing paths are used, then system operation simplicity is maintained, but response capability to sudden link failures is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-evaluating and establishing the importance indices of physical nodes and information nodes before failures occur. This preliminary evaluation enables the system to quickly identify alternative paths when link failures happen, reducing route reconstruction time while improving robustness against failures through advance preparation of routing information.
Solution Approach 2:
The patent introduces feedback mechanisms that allow the system to monitor the status of communication links and dynamically adjust routing paths when failures are detected. The feedback loop enables real-time response to link failures by re-evaluating importance indices and selecting alternative paths, thus improving robustness while minimizing the time loss associated with route reconstruction.
Data Source
AI summary
Disclosed are a service demand-driven routing scheduling and dynamic selection method and system for active distribution network. The method includes: evaluating a physical importance index and an information importance index of each service traffic according to a physical influence and an information demand of each issued service traffic, comprehensively taking into account the physical importance index and the information importance index to obtain a comprehensive importance index, and ranking the comprehensive importance index to obtain a ranked service traffic set; quantizing the real-time performance and the reliability of a route link and generating a route distance matrix; inputting the ranked service traffic set and the route distance matrix into a route scheduling optimization model, and generating a route scheduling scheme of the overall service traffic based on a principle of service traffic importance and route path performance matching.