Power Distribution Node Control for Grid Efficiency
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Solution Overview
Problem
Existing power distribution systems initiate demand response events to reduce grid overload but do not consider the efficiency and cost impacts elsewhere in the grid, limiting overall benefits.
Innovation Solution
A computer-based system that determines and optimizes operating limitations of node devices within a power distribution system by calculating the effects of modifying operating parameters, such as voltage and power factor profiles, to enhance efficiency and profit while balancing revenue changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If demand response events are initiated to reduce load on the power grid, then the likelihood of brownouts and blackouts is reduced, but efficiency and delivery costs elsewhere in the grid deteriorate
Solution Approach 1:
The system implements a feedback mechanism where the computer calculates the effect of load modifications on operating limitations and uses this information to adjust demand response events. This ensures that load reduction actions do not negatively impact grid efficiency and delivery costs elsewhere in the system.
Solution Approach 2:
The system changes operating parameters of node devices (such as voltage levels, power factor, or load timing) to achieve load reduction while maintaining or improving overall grid efficiency. By carefully selecting and adjusting these parameters, the system resolves the contradiction between reliability improvement and efficiency deterioration.
2Reliability
If demand response events are initiated to reduce load on the power grid, then the likelihood of brownouts and blackouts is reduced, but delivery costs elsewhere in the grid increase
Solution Approach 1:
The computer calculates the effect of load modifications on operating limitations including delivery costs, and uses this feedback to optimize demand response events. This ensures that reliability improvements are achieved without increasing delivery costs elsewhere in the grid.
3Productivity
If operating parameters of node devices are modified to optimize operating limitations, then efficiency of energy delivery increases, but revenue changes occur due to modified energy consumption
Solution Approach 1:
The system modifies operating parameters of node devices to optimize energy delivery efficiency while the computer calculates the resulting effects on operating limitations including revenue. This allows the system to achieve productivity improvements while managing revenue impacts through informed parameter adjustment.
Solution Approach 2:
The feedback loop allows the system to monitor revenue changes resulting from parameter modifications and adjust future operations accordingly, balancing efficiency gains with revenue preservation.
Data Source
AI summary
A power distribution system includes a plurality of node devices and a computer communicatively coupled to the node devices. The computer includes a memory area configured to store at least one operating parameter of each of the node devices, and a processor that is programmed to determine a desired operating limitation of the power distribution system to be optimized, calculate an effect on the operating limitation based on a modification of the operating parameter of at least one of the node devices, and transmit a command to the node device to cause the node device to modify the operating parameter.