Distributed Power Grid Modules with Autonomous Topology Discovery
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Solution Overview
Problem
Conventional power management systems in isolated grids face challenges such as inefficient utilization of generator capacity, difficulty in tracking load distribution, and lack of distributed control, leading to potential overload and loss of power generation capacity.
Innovation Solution
A dynamic and distributed control system that uses source and load modules with dedicated microprocessors, point-to-point communication, and autonomous topology discovery and update, allowing for ad hoc changes and split power grids without a central command module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed control is implemented without a central command module, then system reliability is improved (loss of one unit does not compromise the remaining system), but device complexity increases (autonomous topology discovery and update mechanisms)
Solution Approach 1:
The control system is segmented into autonomous modules distributed across the power grid, with each module capable of independent operation and decision-making. This segmentation eliminates the need for a central command module, allowing the system to maintain functionality even when individual modules fail, thereby improving reliability while managing complexity through modular architecture.
Solution Approach 2:
Each module in the distributed control system performs self-service through autonomous topology discovery and update capabilities. Modules automatically detect their own status, communicate with neighboring modules, and update the network topology without external intervention. This self-service mechanism reduces reliance on centralized control while maintaining system coherence.
2Adaptability or versatility
If ad hoc load and generation additions are accommodated, then adaptability is improved (users can add and subtract loads), but measurement precision deteriorates (difficulty in tracking loading on given generator and ampere load on distribution line)
Solution Approach 1:
The distributed control system implements continuous feedback mechanisms where each module monitors its own operational parameters (load, generation, ampere load) and communicates this information to neighboring modules. This feedback loop enables precise tracking of power flow and load distribution across the dynamic network, maintaining measurement precision even as the system configuration changes ad hoc.
Solution Approach 2:
The system performs preliminary actions by pre-establishing communication protocols and measurement frameworks that are ready to track power flow parameters before ad hoc changes occur. When loads or generation are added or removed, the measurement infrastructure is already in place to immediately capture and report the changes, ensuring continuous precision in tracking system state.
3Loss of energy
If variable output of smaller generators is optimized, then loss of energy is reduced (excess generation is stored and used), but ease of operation worsens (generators often have two states, on and off)
Solution Approach 1:
The control system transforms static generator operation (on/off states) into dynamic operation by enabling continuous adjustment of generator output levels. Each generator can vary its production according to real-time system needs, load conditions, and available storage capacity. This dynamic control optimizes energy utilization by matching generation output precisely with demand and storage availability, reducing energy loss while maintaining operational simplicity through automated control algorithms.
Data Source
AI summary
A system and method of dynamic distributed control with network topology discovery in an isolated distribution grid is provided. Source modules connect to AC generators and output high voltage DC power on ports. Load modules receive the high voltage DC power on connected ports and convert the DC power to AC power. Loads are connected to AC outlets on load modules. A source module discovers the connected network topology through a series of states following the reading of a configuration file. Each module has a microprocessor. Each microprocessor runs control algorithms using its adjacency map as input. Respective adjacency maps are monitored, compared, and amended as needed to maintain consistency across all adjacency maps, thus ensuring consistent distributed control of the power distribution grid.