Dynamic Programming Phase Balancing for Three-Phase Feeders

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Solution Overview

Problem

Existing electric power distribution systems face challenges in maintaining phase balance, leading to inefficiencies, unnecessary outages, and increased costs due to unbalanced load distribution across three-phase feeders, with existing algorithms failing to consistently provide optimal solutions for phase balancing.

Innovation Solution

A dynamic programming algorithm is employed to analyze feeder topology and customer load data, recommending phase assignments that minimize load imbalance by optimizing tap changes across multiple sections of the feeder, ensuring balanced current distribution and reducing the need for frequent rebalancing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If phase balancing is performed using conventional methods (feeder reconfiguration or phase swapping), then load balance is improved, but operational costs and time consumption increase significantly

Engineering Contradiction:
Improvephase balanceVSAvoidoperational efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system enables automated phase balancing through dynamic programming algorithms that automatically analyze load data, determine optimal tap changes, and execute rebalancing operations without requiring manual crew intervention, making the system self-managing

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operations (crew-based load switching) with automated computational algorithms (dynamic programming) that calculate optimal phase assignments and control strategies, substituting human labor with intelligent software systems

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If frequent tap changes are made to maintain phase balance, then load balance is maintained, but system complexity and operational costs increase

Engineering Contradiction:
Improvephase balanceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of load patterns and predicts future imbalance conditions, allowing proactive tap changes to be made before severe unbalance occurs, reducing the frequency and complexity of corrective actions

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent utilizes dynamic programming to optimize discrete tap position parameters, selecting from a finite set of predefined tap positions to achieve phase balance with minimal changes, thereby simplifying the control strategy

Inventive Principle:
Principle #35Parameter changes

3Reliability

If complete load switching is performed for phase rebalancing, then phase balance is restored, but customer power interruption time and costs increase

Engineering Contradiction:
Improvephase balanceVSAvoidpower interruption time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent divides the feeder into multiple sections with independent tap changers, allowing localized phase balancing operations that affect only specific segments rather than requiring complete system-wide load switching, thereby minimizing customer interruption

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs partial rebalancing by adjusting tap positions to achieve acceptable phase balance within predefined thresholds, rather than attempting complete balance that would require extensive load switching, thus reducing operational disruption

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS9728971B2Apparatus and method for optimal phase balancing using dynamic programming with spatial consideration
Publication Date: 2017.08.08 THE RES FOUNDATION FOR THE STATE UNIV OF NEW YORK
  • US9728971B2 patent drawing
  • US9728971B2 patent drawing
  • US9728971B2 patent drawing

AI summary

Provided are an apparatus and method for load-balancing of a three-phase electric power distribution system having a multi-phase feeder, including obtaining topology information of the feeder identifying supply points for customer loads and feeder sections between the supply points, obtaining customer information that includes peak customer load at each of the points between each of the feeder sections, performing a phase balancing analysis, and recommending phase assignment at the customer load supply points.