Demand Response System for Reducing Feeder Circuit Joule Heating Losses
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Solution Overview
Problem
Power grids experience significant power loss due to Joule heating in feeder circuits, and existing methods for reducing these losses, such as power flow studies, are complex and time-consuming, necessitating a more efficient real-time solution.
Innovation Solution
A demand response system that analyzes feeder circuit characteristics and customer positions to selectively implement demand response measures, such as curtailing power usage or on-site generation, using a grid structure component and dynamic operation component to determine the most effective customers for demand response, thereby reducing Joule heating losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If power flow studies are used to analyze and reduce losses, then loss reduction can be achieved, but the analysis is complex and time-consuming
Solution Approach 1:
The system segments the feeder circuit into multiple sections and calculates a loss reduction index for each section based on customer characteristics and circuit parameters. This allows the complex overall loss reduction problem to be broken down into manageable segment-specific analyses, enabling real-time decision-making without requiring full-system complex iterative calculations.
Solution Approach 2:
The system automatically identifies optimal demand response customers and generates control signals without requiring external intervention or complex manual analysis. The loss reduction index calculation and customer selection process are self-executing based on pre-programmed algorithms that consider circuit parameters, customer characteristics, and real-time conditions.
2Loss of energy
If power flow studies are used to analyze and reduce losses, then loss reduction can be achieved, but the solution takes considerable time
Solution Approach 1:
The system pre-calculates and stores base circuit parameters, customer characteristics, and weighting factors before real-time operation. During actual demand response events, the system only needs to combine these pre-computed values with current conditions to quickly determine optimal customers, avoiding time-consuming iterative calculations while maintaining accuracy.
Solution Approach 2:
The system uses simplified calculation models and approximations that provide sufficient accuracy for real-time decision-making without requiring complex iterative numerical methods. The loss reduction index calculation uses direct formulas based on pre-computed parameters rather than full power flow iterative solutions, enabling rapid results.
3Loss of energy
If demand response is implemented for all customers, then power loss reduction is maximized, but the system complexity and computational burden increase
Solution Approach 1:
The system assigns different weighting factors to different customers based on their specific characteristics (load type, power factor, demand response capability) and their location on the feeder circuit. This allows the system to identify and select only the most effective customers for demand response in each local section, rather than treating all customers uniformly, thereby reducing complexity while maintaining optimization effectiveness.
Solution Approach 2:
The system implements demand response for only a selected subset of customers rather than all customers. By using the loss reduction index to identify the most impactful customers, the system achieves significant loss reduction with partial action, reducing computational burden and system complexity while maintaining effectiveness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system quickly identifies the optimal subset of customers for demand response, reducing feeder circuit losses by minimizing the current transmitted through the circuits, thus lowering Joule heating and improving power grid efficiency in real-time.
Implementation Method 1
Distributing current through the power grid (such as through the electric power transmission, and electricity distribution) results in loss. Specifically, the loss, termed Joule heating (or resistive heating), occurs when the passage of an electric current through a conductor releases heat.
Data Source
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AI summary
A system and method that analyzes at least one aspect of the power grid for demand response in order to reduce feeder circuit losses is provided. The system and method may use a demand response model to select one or more factors for the demand response (such as selecting a subset of customers for demand response from a larger pool of available demand response customers). The demand response model may include a grid structure component (such as an indication of the particular customer's position in the grid) and a dynamic operation component (such as a real-time measurement of current in the feeder circuit). By using the demand response model, feeder circuit losses may thereby reduced.