Energy Storage Mode Switching With Load Forecasting and User Input
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing PV-storage systems lack versatile application modes for timely mode switching in response to changing scenarios and suffer from inadequate human-computer interaction, leading to suboptimal user experience and delayed information interaction.
Innovation Solution
An energy storage operation mode switching method and apparatus that includes a first load forecasting model, user input processing via voice, QR code scanning, or text, and a large language model (LLM) to generate a second load forecasting model, enabling strategies like charging pile, heat pump, economy-priority, and off-grid-priority forecasting based on real-time data and user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple energy storage operation modes are provided, then adaptability to different application scenarios is improved, but device complexity increases due to the need for mode switching mechanisms
Solution Approach 1:
The patent implements dynamic mode switching by continuously monitoring real-time data including PV power generation, load demand, electricity prices, and energy storage state of charge. The system automatically transitions between different operation modes (self-consumption mode, grid interaction mode, peak shaving mode, etc.) based on changing conditions, making the system adaptable without requiring complex manual configuration or fixed structures
Solution Approach 2:
The system performs self-service through automated decision-making algorithms that independently determine the optimal operation mode based on pre-set strategies and real-time data. The control unit automatically executes mode switching without external intervention, reducing the complexity of user-side switching mechanisms while maintaining high adaptability to different scenarios
2Ease of operation
If timely and effective mode switching is implemented, then user experience is improved, but information interaction speed must be increased requiring faster processing systems
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple operation modes and their corresponding control strategies before actual operation. When real-time data triggers a mode switch condition, the pre-prepared strategies enable immediate execution without delay for complex decision-making, thus improving response speed while maintaining good user experience through timely mode transitions
3Adaptability or versatility
If diverse application modes are offered, then versatility is improved, but system complexity increases making control more difficult
Solution Approach 1:
The patent segments the control system into distinct operation modes (self-consumption mode, grid interaction mode, peak shaving mode, valley filling mode, etc.), each with its own simplified control logic and strategy. This segmentation allows the system to offer diverse application modes while keeping the control complexity manageable by handling only one mode at a time with dedicated control algorithms for each mode
Data Source
Figure 1
Figure 2
AI summary
The present disclosure provides an energy storage operation mode switching method and apparatus, a storage medium, and a device, which relate to the technical field of power scheduling. The energy storage operation mode switching method includes: presetting a first load forecasting model; acquiring first user input information; inputting the first user input information into a model for learning, and generating a first user electricity consumption behavior model; inputting a forecasting result of the first user electricity consumption behavior model and a forecasting result of the first load forecasting model into the model for learning, and generating a second load forecasting model; and outputting an energy storage scheduling strategy according to a second load forecasting result. This application addresses the problems existing in the prior art. That is, the existing energy storage modes are limited, failing to offer a variety of application modes for users, thereby making it impossible to perform timely and effective mode switching in response to changes in application scenarios, resulting in suboptimal user experience. Meanwhile, there is a lack of convenient human-computer interaction methods, leading to delays in information interaction.