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
Engineering 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
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.
2Productivity
If dynamic microgrid management is implemented with continuous monitoring and adjustment, then energy management efficiency and cost-effectiveness improve, but system complexity increases
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.
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.
3Reliability
If static power distribution is used, then system reliability is maintained through simplicity, but adaptability to varying weather and market conditions deteriorates
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.
Data Source
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.


