Power System Analysis Support Reducing Data Volume via Probability Density Parameters
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Solution Overview
Problem
The increasing fluctuation velocity of power systems due to dispersed renewable energy sources, such as wind and solar power, requires more frequent measurements, leading to a significant increase in data volume that burdens communication lines and increases costs, as existing systems rely on long measurement cycles and send raw data for analysis.
Innovation Solution
A power system analysis support system where a measuring device generates and sends predetermined parameters, like frequency distributions or moments, instead of raw measurement values, allowing the analysis support apparatus to calculate the probability density function, reducing data transmission and processing loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the measurement cycle is shortened to capture rapid fluctuations in power systems with dispersed renewable energy sources, then the system state can be appropriately grasped, but the amount of data to be sent from measuring devices to the analysis support apparatus exponentially increases
Solution Approach 1:
The invention extracts only the essential information needed for analysis by calculating probability density functions from measurement data at the measuring device side. Instead of transmitting all raw measurement data, only the calculated probability density function parameters are sent to the analysis support apparatus, significantly reducing data transmission volume while preserving the necessary system state information for accurate analysis.
Solution Approach 2:
The measuring device performs preliminary data processing by calculating probability density functions before data transmission. This preliminary action of computing statistical characteristics (mean, variance, skewness, kurtosis) of the measurement data at the source reduces the burden on communication lines and the analysis support apparatus, enabling frequent measurements without proportional increases in data transmission requirements.
2Productivity
If more frequent measurements are performed to capture rapid fluctuations, then the system state can be accurately monitored, but communication costs increase due to the need for higher speed communication lines
Solution Approach 1:
The invention extracts and transmits only the calculated probability density function parameters rather than complete raw measurement datasets. This extraction approach allows for increased measurement frequency while maintaining manageable communication data volumes, thereby reducing the need for expensive high-speed communication infrastructure and associated costs.
Solution Approach 2:
The invention transforms raw measurement data into a different parameter representation (probability density function characteristics such as mean, variance, skewness, and kurtosis). This parameter transformation reduces the data dimensionality and transmission requirements, enabling frequent measurements without proportional increases in communication costs.
3Loss of information
If all raw measurement data is transmitted to the analysis support apparatus, then complete analysis can be performed, but the processing load on the analysis support apparatus increases significantly
Solution Approach 1:
The invention extracts essential statistical characteristics (probability density function parameters) from raw measurement data at the measuring device side. This extraction process preserves the necessary information for power system analysis while significantly reducing the data volume that needs to be processed by the analysis support apparatus, thereby reducing processing load without compromising analysis completeness.
Solution Approach 2:
The measuring device performs preliminary data processing by calculating probability density function parameters before transmission. This preliminary computation of statistical characteristics (mean, variance, skewness, kurtosis) reduces the complexity of data processing required at the analysis support apparatus, enabling efficient handling of frequent measurement data.
Data Source
AI summary
To provide a power system analysis support system in which the amount of data to be sent from a measuring device to an analysis support apparatus can be reduced. A measuring device includes a measuring unit which performs measurement related to a power system, a storage unit which stores measurement values measured by the measuring unit, a parameter generator which generates a predetermined parameter indicating a probability density function of the measurement value from the plurality of measurement values stored in the storage unit, and a communication unit which sends the predetermined parameter generated by the parameter generator to an analysis support apparatus. The analysis support apparatus includes a communication unit which receives the predetermined parameter from the measuring device, and a probability density function generator which generates a probability density function of the measurement value from the received predetermined parameter.