Power Correction Controller for Dynamic Harmonic Mitigation
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Solution Overview
Problem
Existing solutions for reducing energy delivery costs by mitigating harmonics and improving power factors are not universally effective and can be difficult to customize for specific loads like data centers, air conditioners, and highly inductive devices.
Innovation Solution
A system that includes a utility, a transformer, voltage and current sensors, and a power correction controller to adjust power consumption by generating commands for smart power supplies to modify harmonic and power factor profiles, using digital power factor correction controllers to regulate input current and adjust phase shifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If existing solutions for mitigating harmonics and improving power factors are used, then energy delivery costs can be reduced for some loads, but these solutions are not universally effective and are difficult to customize for specific loads
Solution Approach 1:
The system dynamically adjusts power consumption parameters in real-time based on feedback from sensors monitoring voltage, current, and power quality metrics. The controller continuously modifies control signals sent to smart power supplies to optimize harmonic content and power factor specifically for each load type, making the solution adaptable rather than static
Solution Approach 2:
The system implements a closed-loop control mechanism where sensors continuously monitor power quality parameters (harmonics, power factor, voltage, current) and feed this information back to the controller. The controller processes this feedback and adjusts control signals to smart power supplies to maintain optimal power delivery conditions tailored to each specific load
Solution Approach 3:
The system changes operational parameters such as switching frequency, pulse width modulation duty cycle, and phase angle control to optimize power delivery. By dynamically adjusting these parameters based on load characteristics and real-time measurements, the system achieves load-specific optimization for reducing energy delivery costs
2Loss of energy
If high performing power supplies are used to minimize harmonics and maximize power factor, then energy delivery costs are reduced, but the solution requires significant device complexity
Solution Approach 1:
The system introduces a controller as an intermediary component that manages power quality optimization. This controller sends control signals to smart power supplies and receives feedback from sensors, acting as a mediator that coordinates the interactions between multiple components to achieve harmonic mitigation and power factor correction without requiring any single component to be overly complex
Solution Approach 2:
The controller serves multiple functions: it monitors power quality parameters, processes sensor feedback, generates control signals for smart power supplies, and adapts control strategies for different load types. This multi-functionality consolidates complexity into a single coordinating component rather than requiring each power supply to independently handle all optimization functions
Data Source
AI summary
The examples include methods and apparatuses to control power adjustments. Controlling power adjustments can include receiving, from the sensor, a measurement of the power, comparing the measurement of the power to a pre-defined threshold, responsive to determining that the measurement is outside the scope of the threshold, calculating an adjustment to the consumption of the power by a load, and providing the adjustment to a power supply of the load to adjust the power consumed by the power supply.