Dynamic Load Controller for Power Generation Systems

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Solution Overview

Problem

Existing power generation systems face inefficiencies due to static optimization methods that fail to dynamically adjust power transfer parameters such as RPM, torque, and load in response to changing conditions, leading to suboptimal power output.

Innovation Solution

A method and device that dynamically optimize power transfer parameters like RPM, torque, and load by continuously monitoring the power source's speed and adjusting the generator's electromechanical load to maximize power transfer efficiency, using a controller system to implement these changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If static optimization methods are used to design power generation systems, then the system can be designed and manufactured, but the power transfer efficiency deteriorates under varying operating conditions

Engineering Contradiction:
Improvesystem designVSAvoidpower transfer efficiency
Core Design Contradiction:
Ease of manufactureVSLoss of energy

Solution Approach 1:

The patent applies dynamics by transitioning from static design parameters to dynamic optimization. The system continuously adjusts power transfer parameters (RPM, torque, load) in real-time based on varying operating conditions, allowing the alternator to maintain optimal efficiency across different speed ranges and load requirements rather than being fixed at design-point values.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements parameter changes by modifying key operating parameters (RPM, torque, electrical load) during system operation. The optimization system varies these parameters dynamically to match changing power source characteristics and load demands, thereby maintaining peak power transfer efficiency throughout the operational envelope rather than at a single design point.

Inventive Principle:
Principle #35Parameter changes

2Loss of energy

If the alternator is designed for a specific RPM range, then it operates efficiently within that range, but power losses increase when operating outside the intended range

Engineering Contradiction:
Improvepower losses within design rangeVSAvoidoperating range flexibility
Core Design Contradiction:
Loss of energyVSAdaptability or versatility

Solution Approach 1:

The system uses dynamic optimization to adjust operating parameters in real-time, allowing the alternator to adapt to varying RPM conditions. By continuously monitoring and adjusting torque and electrical load based on actual operating conditions, the system maintains efficiency across a broader RPM range than fixed-design alternatives.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent employs feedback mechanisms where the optimization system continuously monitors power source characteristics and alternator performance, then adjusts operating parameters accordingly. This closed-loop control enables the system to compensate for deviations from the design RPM range and maintain optimal efficiency under varying operating conditions.

Inventive Principle:
Principle #23Feedback

3Device complexity

If fixed load systems are used, then the system structure is simple, but the power generation efficiency deteriorates when power source variations occur

Engineering Contradiction:
Improvesystem structureVSAvoidpower generation efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent transforms the static load system into a dynamic one where the electrical load and torque are continuously adjusted based on power source variations. This dynamic load optimization enables the system to maintain peak efficiency across varying operating conditions while adding only moderate complexity through electronic control systems.

Inventive Principle:
Principle #15Dynamics

4Ease of manufacture

If components are designed separately without system-wide optimization, then individual component design is straightforward, but overall system power output efficiency deteriorates

Engineering Contradiction:
Improvecomponent designVSAvoidsystem power output
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The patent merges the design and optimization of individual components into a unified system-wide approach. Rather than designing the power source and alternator separately, the optimization system coordinates their interaction by dynamically adjusting operating parameters to maximize overall system power output, treating the combined system as an integrated whole rather than separate parts.

Inventive Principle:
Principle #5Merging (Combining)

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

This approach enhances power generation efficiency by ensuring optimal power transfer across varying conditions, reducing wear and adapting to changes in fuel quality and load, thereby improving overall system performance.

Implementation Method 1

The alternator device acts as a load and generates power in the form of electricity from the mechanical power provided by the engine

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Data Source

PatentUS8098054B2Optimal load controller method and device
Publication Date: 2012.01.17 VERSCHUUR JOHN ALEXANDER
  • US8098054B2 patent drawing
  • US8098054B2 patent drawing
  • US8098054B2 patent drawing

AI summary

A method and device for optimizing power output of a power generation system having a load engaging system, a load optimizing system, a load selection system, a motive driver and one or more loads or power transfer parameters. The power generation system is illustrated using an electrical generator to consume system power out, however the load(s) may be other than an electrical generator. The load engaging system decides when and how the load or power transfer parameters are applied to and removed from the system. The load selection system enables multiple power transfer parameters to be optimized by selecting and isolating one power transfer parameter at a time to be optimized. The load optimizing system optimizes system power output by manipulating the selected power transfer parameter, dynamically in response to change in power output.