Power System Supervisory Control for Renewable Fluctuation and Fault Selection
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Solution Overview
Problem
Existing power system supervisory control methods struggle to effectively handle rapid changes in renewable energy output and rare, high-impact events, leading to instability and potential blackouts, as they lack efficient mechanisms for calculating control tables in dynamic systems.
Innovation Solution
A power system supervisory control apparatus and method that evaluates system influence degrees using renewable energy fluctuation and assumed fault data to select optimal computation conditions, enabling the creation of control tables for maintaining system stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system stabilization system calculates control tables for all possible faults and renewable energy fluctuations, then the system stability is improved, but the computation time and complexity increase significantly
Solution Approach 1:
The patent segments the computation process by dividing all possible faults and renewable energy fluctuations into multiple computation cycles. In each cycle, only a subset of faults and fluctuations is evaluated based on current system conditions. This segmentation allows the system to maintain stability through comprehensive eventual coverage while reducing immediate computation time and complexity in each individual cycle.
2Productivity
If the operation capacity of power transmission lines is increased to accommodate more renewable energy, then the productivity is improved, but the system stability under fault conditions deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of operation capacity based on real-time system conditions. The system stabilization system continuously monitors the power system state and dynamically determines the appropriate operation capacity for power transmission lines. This dynamic approach allows the system to maximize power transmission capacity under normal conditions while automatically reducing capacity and activating stabilization measures when faults occur, thus maintaining both productivity and reliability.
3Ease of operation
If the system uses predetermined computation conditions for control table calculation, then the ease of operation is improved, but the adaptability to rapid renewable energy fluctuations and rare events deteriorates
Solution Approach 1:
The patent employs periodic re-evaluation of computation conditions in successive computation cycles. Instead of using fixed predetermined conditions indefinitely, the system periodically updates the set of faults and renewable energy fluctuations to be evaluated based on current system state. This periodic action maintains operational simplicity through structured cycles while improving adaptability to rapid changes and rare events over time.
Data Source
AI summary
A power system supervisory control apparatus, a power system supervisory control system, and a power system supervisory control method for reducing social cost and improving resilience of a power system are provided. The power system supervisory control apparatus including multiple renewable energy power supplies includes: a system influence degree evaluation section that evaluates a system influence degree when a renewable energy fluctuation or an assumed fault has an influence on the power system by using, as computation conditions, system data for obtaining a state of the power system, renewable energy fluctuation data indicative of a fluctuation of a power generation output, and assumed fault data of an assumed fault in the power system, and calculates system influence degree evaluation result data; a computation condition selection index calculation section that calculates a selection index for the computation conditions; and a condition selection section that selects the computation conditions.