Back-to-Back Converter Power Routing for Subregional Grid Loads
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing power distribution systems struggle to efficiently manage and distribute power to meet varying load demands across subregional grids, particularly due to fluctuations in power generation from different sources like wind and solar, leading to potential overloads and equipment failures.
Innovation Solution
A power management system (PMS) with a controller that monitors load demands and power curves, using a back-to-back converter transmission system to selectively distribute power from multiple generation systems to subregional grids, dynamically adjusting power output based on real-time demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power distribution systems use multiple power generation sources (wind, solar, etc.), then power supply reliability is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple power generation sources (wind, solar, conventional) into a unified power distribution system managed by a single control system. The controller integrates power from diverse sources and distributes it through a coordinated network, resolving the complexity of managing multiple independent systems while maintaining reliability benefits.
Solution Approach 2:
The control system is designed to universally manage multiple types of power generation sources simultaneously. It can handle variable renewable sources and conventional sources through a single multi-functional platform, reducing overall system complexity while maintaining the reliability advantages of diverse power sources.
2Productivity
If the system dynamically adjusts power distribution based on real-time demand, then power distribution efficiency is improved, but control system complexity increases
Solution Approach 1:
The control system continuously monitors real-time power demand and generation output, using feedback loops to dynamically adjust distribution. This automated feedback mechanism improves distribution efficiency by matching supply with demand in real-time while keeping control complexity manageable through systematic control algorithms.
Solution Approach 2:
The system employs dynamic control strategies that automatically adjust power distribution parameters based on real-time conditions. The controller adapts its operation to changing load demands and generation availability, improving efficiency without requiring overly complex manual control systems.
3Reliability
If the system monitors and analyzes power curves from multiple subregional grids, then power distribution reliability is improved, but data processing requirements increase
Solution Approach 1:
The control system divides the large-scale power grid into multiple subregional grids, each with its own power curve characteristics. By segmenting the monitoring scope into manageable regional units, the system can reliably monitor overall grid performance while reducing the data processing burden compared to monitoring the entire grid as a single unit.
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 ensures reliable and efficient power distribution by minimizing overloads and equipment stress, maintaining stable electrical parameters, and enabling seamless transitions between power sources, thus preventing failures and ensuring continuous power supply.
Implementation Method 1
selectively distributing, using a back-to-back converter transmission system, power from at least one power generation system to each subregional grid
Data Source
AI summary
Methods and systems use a power management system having a power management system controller. The method includes monitoring a load demand of a power distribution system including renewable resources such as solar system having at least one subregional grid. The method includes communicating a power curve based, at least in part, on the load demand from each subregional grid to the power management system, analyzing the power curve. The method includes selectively distributing, using a back-to-back converter transmission system, power from at least one power generation system to each subregional grid, wherein the selective distribution is based, at least in part, on the power curve.