Energy Storage Monitoring with Predictive Grid Dispatch Evaluation
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Solution Overview
Problem
Current energy storage system monitoring technologies only provide data monitoring of the energy storage converter and battery pack, lacking comprehensive oversight of the overall operation state and relationship with power grid dispatch instructions, thus requiring additional resources for evaluation.
Innovation Solution
A monitoring system comprising a collection module, predictive module, processing module, and evaluation module that collects, predicts, processes, and evaluates the operation state of the energy storage system, integrating with power grid dispatch instructions to provide real-time and predictive data for comprehensive monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only data monitoring of energy storage converter and battery pack is implemented, then monitoring system complexity is reduced, but comprehensive operation state monitoring capability is insufficient
Solution Approach 1:
The patent merges multiple monitoring functions into a unified monitoring system that simultaneously monitors energy storage converters, battery packs, and overall system operation states. The system integrates data collection from multiple sources and combines them with power grid dispatch instructions to provide comprehensive monitoring without proportionally increasing system complexity.
Solution Approach 2:
The monitoring system is designed with multi-functionality to perform diverse monitoring tasks including real-time data collection, predictive analysis, operation state assessment, and power grid dispatch instruction integration. This universal approach allows a single system to handle multiple monitoring requirements rather than requiring separate specialized systems for each function.
2Measurement precision
If comprehensive monitoring of overall operation state and power grid dispatch instructions is implemented, then monitoring accuracy is improved, but additional manpower and material resources are required
Solution Approach 1:
The monitoring system incorporates predictive modules that automatically analyze operation data and generate predictions about future system states. This self-service capability reduces the need for manual evaluation by human operators, as the system autonomously performs predictive analysis and provides comprehensive monitoring insights without requiring additional manpower for data interpretation and assessment.
Solution Approach 2:
The system performs predictive analysis on operation data to forecast future system states before actual issues occur. By conducting preliminary predictive evaluations, the system identifies potential problems in advance, reducing the need for intensive manual monitoring resources while maintaining high monitoring accuracy through automated predictive insights.
3Loss of time
If real-time predictive monitoring is implemented, then response time to system issues is reduced, but data processing complexity increases
Solution Approach 1:
The monitoring system segments data processing into distinct functional modules including data collection, predictive analysis, operation state assessment, and evaluation generation. This modular segmentation allows each component to handle specific processing tasks efficiently, reducing overall data processing complexity while enabling real-time predictive monitoring capabilities through coordinated module operations.
Data Source
AI summary
A monitoring system and method for operation of energy storage system are provided, the system includes a collection module, configured to collect operation data of the energy storage system; a predictive module, configured to predict the operation data to obtain predictive data of future development trend of the energy storage system; a processing module, configured to process the operation data and the predictive data to obtain an operation state of battery packs in the energy storage system; a storage module, configured to store the operation data, the predictive data and the operation state of the battery packs; and an evaluation module, configured to evaluate an operation state of the energy storage system according to operation data, predictive data and the operation state of the battery packs. The energy storage system is monitored, and the operation state of the energy storage system is evaluated by combining with power grid dispatch instructions.

