Energy Management Data Storage Segmentation for Incident Analysis
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Solution Overview
Problem
The existing energy management systems face challenges in efficiently storing and managing large amounts of real-time power system data, leading to difficulties in data retrieval and analysis during incidents, which limits detailed incident analysis and can cause storage overloads.
Innovation Solution
A data management apparatus and method that includes a real-time database, a power system data recording server for creating policy data and data files, and a historical data management system for backing up processed data, utilizing a Value+Tag+Flag format for efficient data storage and retrieval, and a dispatcher training server for simulating incidents based on historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all measured data and operation data are stored in real time at each scan period, then complete data for incident reproduction is achieved, but storage system overload occurs and data retrieval becomes difficult
Solution Approach 1:
The patent segments the storage system into multiple components: real-time database for current operations, PSDR server for processing and filtering, and history file storage unit for archived data. This segmentation distributes the storage load across multiple systems while maintaining data completeness for incident reproduction.
Solution Approach 2:
The patent extracts only the necessary data elements for incident analysis from the complete data set. The PSDR server identifies and extracts relevant measurement data and operation data while filtering out redundant information, storing only essential data in the history file storage unit.
2Loss of information
If all power system data are stored in real time, then detailed incident analysis is enabled, but storage system overload occurs
Solution Approach 1:
The patent applies local quality by storing complete detailed data locally in the real-time database for active monitoring, while selectively archiving only essential incident-relevant data in the history file storage unit. This allows detailed incident analysis when needed without maintaining all data permanently.
Solution Approach 2:
The patent creates an asymmetric storage strategy where different data types receive different treatment: measurement data with significant changes are archived with high detail, while stable operation data are archived with lower detail or aggregated, optimizing storage efficiency while preserving incident analysis capability.
3Reliability
If complete historical data are stored, then incident cause analysis is improved, but data retrieval efficiency decreases
Solution Approach 1:
The patent performs preliminary organization and tagging of data during the storage process. The PSDR server categorizes data by type, time, and relevance before archiving, creating an indexed structure that enables rapid retrieval during incident analysis without requiring search through all historical data.
4Adaptability or versatility
If real-time storage of all data is implemented, then data availability for simulation is ensured, but system performance degradation occurs
Solution Approach 1:
The patent creates a universal data storage architecture that serves multiple functions: real-time monitoring, incident analysis, and dispatcher training simulation. The same PSDR server and history file storage unit support all these functions, eliminating the need for separate dedicated storage systems for each application.
Data Source
AI summary
A data management apparatus is provided. In the data management apparatus, a real-time database stores data collected from a power system; a power system data recording (PSDR) server reads and stores data stored in the real time database and creates policy data and a data file on the basis of the stored data and a PSDR history file storage unit backs up data processed by the PSDR server.