Self-Organizing Microgrid Controller for Load Leveling
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Solution Overview
Problem
Conventional microgrids face instability due to load and source variations, and reliance on centralized controllers that require reliable communication networks, which can be costly and prone to failures.
Innovation Solution
A self-organizing microgrid controller that allows local independent control decisions based on energy storage measurements, enabling stable global operation without inter-site communication, using energy storage sensors and control signals to activate/deactivate energy generators and loads independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If centralized control is used to coordinate energy objects, then load and source leveling improves, but communication network reliability requirements increase
Solution Approach 1:
The centralized control system is segmented into distributed controllers at each site. Each controller independently makes control decisions based on local energy storage measurements, eliminating the need for a reliable communication network while maintaining load and source leveling through local autonomous coordination
Solution Approach 2:
Each site's controller serves itself by making independent control decisions based on local energy storage measurements. The controllers autonomously coordinate with other sites through the electrical grid itself, eliminating dependency on external communication infrastructure
2Stability of the object's composition
If centralized controllers communicate with each energy object, then coordination improves, but system complexity increases
Solution Approach 1:
Each controller is designed with identical local functionality, using the same control algorithm based on energy storage measurements. This standardization reduces configuration complexity while maintaining effective coordination, as each site operates autonomously with the same simple control logic
3Reliability
If droop control is used to coordinate energy sources, then communication network requirements reduce, but ability to handle large source-load disparities decreases
Solution Approach 1:
The control algorithm dynamically adjusts control parameters based on real-time energy storage measurements at each site. This allows the system to adapt to large source-load disparities and varying operating conditions while maintaining communication independence, overcoming droop control's limitations
Data Source
AI summary
A controller for individual sites of the microgrid controls loads, sources, the importing of power, and the exporting of power as a function of the energy storage at the site. A microgrid of such sites provides the benefits of improved energy storage without the need for real-time communication between sites.


