Source-Load Access Optimization for Power Distribution Regions
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Solution Overview
Problem
The existing methods for source-load cooperation in power distribution regions face challenges in optimizing power supply capacity while ensuring full consumption of new energy resources, leading to issues like long-term high-load or low-load operations and increased peak-to-valley differences.
Innovation Solution
A source-load cooperation access method is developed, which involves establishing timing feature models for distributed generators and loads using maximum likelihood estimation and classification and regression trees, and optimizing feeder access through a combination optimization model to maximize power supply capability and improve clean energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If distributed generators are accessed in large quantities to the power distribution region, then the consumption of new energy resources is improved, but the safe operation of the power distribution region deteriorates and peak-to-valley difference increases
Solution Approach 1:
The system performs preliminary analysis of timing features for both distributed generators and loads before making access decisions. By using maximum likelihood estimation and classification regression trees to predict timing characteristics in advance, the system can pre-plan access strategies that balance new energy consumption with grid safety, avoiding reactive adjustments that may compromise reliability
Solution Approach 2:
The system changes the parameter of timing feature matching between distributed generators and loads. By optimizing the temporal alignment parameters of generation and consumption, the system maximizes new energy utilization while maintaining stable power distribution patterns that prevent excessive peak-to-valley differences and ensure safe operation
2Productivity
If distributed generators are accessed in large quantities, then new energy consumption is improved, but reverse power transmission problems occur
Solution Approach 1:
The system applies local quality by analyzing and optimizing the timing features of distributed generators and loads at specific locations within the power distribution region. By matching generation and consumption timing characteristics locally through maximum likelihood estimation and classification regression trees, the system ensures power flows in the correct direction at each location, preventing reverse power transmission while maximizing new energy consumption
3Ease of operation
If planners use extensive procedures or standards for source-load access, then access control is simplified, but long-term high-load or light-load operation occurs reducing feeder utilization
Solution Approach 1:
The system replaces manual planning procedures with an automated intelligent system that uses maximum likelihood estimation and classification regression trees to analyze timing features. This substitution transforms the mechanical access control process into an automated decision-making system that optimizes feeder allocation based on temporal characteristics, improving utilization without increasing operational complexity
Data Source
AI summary
Provided is a source-load cooperation access method for a power distribution region. The method includes: establishing a timing feature model of a distributed generator and a timing feature model of a load respectively, acquiring a timing feature of the distributed generator in an access power distribution region by using maximum likelihood estimation and acquiring a timing feature of a user which accesses the power distribution region by using classification and regression trees; and inputting the timing feature of the distributed generator and the timing feature of the user which access the power distribution region into a combination optimization model, and determining a source-load access feeder through optimization.