Feeder Corridor Planning Under Distribution Reliability Constraints
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Solution Overview
Problem
Existing methods for planning distribution networks rely on manually selected candidate routes, which are incomplete and lead to unsolvable or impractical models, failing to effectively address reliability constraints such as customer interruption frequency, duration, and energy not supplied.
Innovation Solution
A method using mixed integer linear programming to determine the installation states and optimize the distribution network by minimizing total investment cost, incorporating feeder lines, interconnection switches, transformers, and substations, while ensuring reliability constraints are met through fault-isolation-and-load-transfer time and fault recovery time calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manually selected candidate routes are used for distribution network planning, then the planning process is simplified, but the model becomes unsolvable or impractical due to incomplete route consideration
Solution Approach 1:
The patent applies preliminary action by pre-establishing feeder corridors during urban planning stages before actual distribution network planning. These corridors define feasible routing paths in advance, creating a structured framework that guides subsequent network planning. This preliminary structuring ensures that when the optimization model is built, it operates within predefined realistic constraints rather than attempting to evaluate all possible routes, thus maintaining model solvability while ensuring reliability through comprehensive corridor-based route coverage
2Reliability
If the whole set of candidate routes is exhausted to ensure completeness, then route coverage is complete, but the model becomes unsolvable and cannot generate implementable results
Solution Approach 1:
The patent applies segmentation by dividing the distribution network into feeder corridors, which are further divided into feeder segments along predetermined routes. This hierarchical segmentation structure allows the optimization model to work with manageable discrete units rather than attempting to evaluate all possible continuous routes. The segmentation maintains route coverage completeness by ensuring all necessary corridors are included while keeping the model solvable through structured discretization of the planning space
Solution Approach 2:
The patent transitions from evaluating routes in continuous spatial dimensions to evaluating discrete feeder corridor segments. By introducing the dimension of predefined corridors as intermediate structures between complete routes and individual network elements, the model transforms an intractable continuous optimization problem into a solvable discrete optimization problem while maintaining comprehensive route coverage through the corridor framework
3Productivity
If traditional planning methods are used without reliability constraints, then the planning process is faster, but reliability requirements such as customer interruption frequency and duration cannot be met
Solution Approach 1:
The patent applies feedback by incorporating reliability constraint calculations directly into the optimization model. The model calculates reliability metrics (SAIDI, SAIFI, EENS) based on the planned network configuration and uses these calculations to enforce constraints on customer interruption frequency and duration. This feedback mechanism ensures that reliability requirements are systematically evaluated and satisfied within the optimization process itself, rather than requiring separate post-processing or manual verification, thus maintaining planning efficiency while ensuring reliability compliance
Data Source
AI summary
The present disclosure provides a method for planning a distribution network with reliability constraints based on a feeder corridor, including determining installation states of respective elements in the distribution network; determining an objective function, the objective function being an objective function of minimizing a total investment cost of the distribution network; obtaining fault-isolation-and-load-transfer time and fault recovery time in a case where the feeder segment of each feeder line that is contained in each feeder corridor fails; determining constraint conditions including reliability constraints; building a distribution network planning model according to the objective function and the constraints; and solving the distribution network planning model built to obtain optimal solutions as planning states and reliability indexes to plan the distribution network.