Microgrid Power Routing With Dynamic Source-Load Reconfiguration

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Solution Overview

Problem

Conventional microgrid systems operate statically, failing to dynamically adjust power distribution based on varying energy source capabilities, efficiency, and cost, leading to suboptimal energy management and increased costs.

Innovation Solution

The implementation of dynamic microgrid management circuitry that monitors and optimizes energy distribution by dynamically coupling or decoupling electrical loads and sources, using machine learning to predict energy production and consumption based on weather and market conditions, and adjusting power routing between local and main grid sources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If microgrid systems operate statically with fixed source-load relationships, then system simplicity and ease of operation are maintained, but energy management efficiency and cost-effectiveness deteriorate

Engineering Contradiction:
Improveoperation simplicityVSAvoidenergy management efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent implements dynamic microgrid management that continuously adjusts source-load relationships based on real-time conditions. The system transitions from static fixed connections to dynamic reconfigurable connections, allowing power sources and electrical loads to be dynamically coupled or decoupled based on production capability, efficiency metrics, and cost considerations.

Inventive Principle:
Principle #15Dynamics

2Productivity

If dynamic microgrid management is implemented with continuous monitoring and adjustment, then energy management efficiency and cost-effectiveness improve, but system complexity increases

Engineering Contradiction:
Improveenergy management efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent employs a universal management system that handles multiple functions through a single integrated platform. The dynamic microgrid management circuitry performs monitoring, analysis, decision-making, and control operations across diverse power sources (renewable and non-renewable) and various electrical loads, reducing the need for separate specialized systems while achieving comprehensive optimization.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements continuous feedback loops where the management circuitry monitors production capability, efficiency, and cost data from power sources, analyzes this information, and automatically adjusts source-load connections accordingly. This closed-loop feedback mechanism enables automated optimization without requiring complex manual intervention systems.

Inventive Principle:
Principle #23Feedback

3Reliability

If static power distribution is used, then system reliability is maintained through simplicity, but adaptability to varying weather and market conditions deteriorates

Engineering Contradiction:
Improvesystem reliabilityVSAvoidcondition adaptability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent transforms the rigid static configuration into a dynamic adaptive system that responds to changing conditions. The management circuitry continuously evaluates weather conditions affecting renewable power generation, market conditions influencing power costs, and load requirements, then dynamically reconfigures source-load relationships to optimize performance under varying conditions while maintaining system reliability.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20240291278A1Systems and methods for microgrid energy management
Publication Date: 2024.08.29 SOLARIS ASSETS LLC
  • US20240291278A1 patent drawing
  • US20240291278A1 patent drawing
  • US20240291278A1 patent drawing

AI summary

This disclosure relates to systems and methods for operating a microgrid power system. Rather than configuring the microgrid power system statically, the microgrid system may be operated using dynamic optimization. Dynamic optimization may entail controlling different power resources in a microgrid power system to decrease the cost or increase the efficiency of the microgrid system based on certain factors. These include present output potential or expected output potential; present cost or expected cost based on the indications of weather conditions and energy market conditions; present power consumption rates associated with each electrical load of the microgrid power system and expected power consumption rates based on the indications of weather conditions; and present and expected power consumption costs associated with each electrical load of the plurality of electrical loads based on the weather conditions and the energy market conditions.