Hydropower Peak Load Capacity Under Daily Inflow Constraints
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Solution Overview
Problem
Current methods lack an effective way to determine the daily peak load regulation capacity of hydropower stations, which is crucial for the efficient integration of renewable energy sources like wind and solar power, due to fluctuations in their generation patterns.
Innovation Solution
A method and device that determine the daily peak load regulation capacity by analyzing historical load data, setting constraint conditions, and performing trial calculations using the N˜H˜Q curve and tail water level flow relationship to optimize water inflow and outflow, allowing for flexible operation and accurate peak load regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trial calculation method is used to determine peak load regulation capacity, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The determination process is divided into distinct segments: constraint condition setting, typical daily load process identification, trial calculation execution, and result validation. Each segment handles a specific aspect of the problem, making the overall complex determination process more manageable and systematic.
Solution Approach 2:
Constraint conditions and typical daily load processes are predetermined and stored before the actual calculation. This preliminary preparation allows the trial calculation method to focus only on evaluating specific scenarios rather than processing all raw data, improving efficiency while maintaining accuracy.
2Reliability
If comprehensive constraint conditions are considered, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically retrieves constraint conditions from pre-stored databases and performs self-validation during the trial calculation process. This self-service mechanism ensures that comprehensive constraints are applied without requiring manual intervention, maintaining reliability while improving ease of operation.
Solution Approach 2:
The trial calculation method incorporates feedback loops where calculation results are automatically compared against constraint conditions. If constraints are violated, the system adjusts the calculation parameters and re-evaluates, ensuring reliable results without manual oversight.
Data Source
AI summary
A method and device for determining a daily peak load regulation capacity of a hydropower station are provided. The method includes: defining a concept of the daily peak load regulation capacity and setting two schemes, namely, finding an amplitude according to time and finding time according to an amplitude; distinguishing constraint conditions for the hydropower station in different periods; according to actual operation of the hydropower station, setting a daily average inflow and a daily initial water level, and determining a typical daily load process of peak load regulation of the hydropower station by analyzing an actual daily load of a power grid in a period; setting a peak load duration or a peak load regulation amplitude during typical load operation of the hydropower station; iteratively calculating a maximum peak load regulation amplitude or a maximum duration under this boundary condition to obtain the daily peak load regulation capacity.