Storage-Charging Station Control for Fast Grid Regulation
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Solution Overview
Problem
The existing control methods for virtual power plants lack the capability to effectively manage integrated storage-charging stations, leading to insufficient support for power distribution networks due to rapid power supply and demand fluctuations.
Innovation Solution
A control method and apparatus for integrated storage-charging stations within a virtual power plant, involving predicted regulation data generation, reporting, and issuing control instructions based on load prediction models and regulatable capability data to optimize charging and discharging power adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized power generation resources and limited dispatching methods are used for grid regulation, then the control structure is simple, but the regulation capability and stability of the power grid are insufficient
Solution Approach 1:
The patent segments the power grid regulation system into multiple distributed integrated storage-charging stations, each with independent control capabilities. Instead of a single centralized control point, the system divides regulation functions across numerous distributed units that can autonomously predict and adjust their charging/discharging behavior based on local conditions and grid requirements, thereby enhancing overall regulation capability while maintaining manageable complexity through modular architecture
Solution Approach 2:
The patent implements dynamic regulation capabilities by enabling distributed integrated storage-charging stations to adaptively adjust their operating modes in real-time based on changing power supply and demand relationships. The load prediction model continuously updates predictions, and control instructions are dynamically generated and adjusted, allowing the system to respond flexibly to rapidly changing grid conditions rather than relying on static centralized dispatching
2Reliability
If distributed integrated storage-charging stations are deployed to enhance regulation capability, then the regulation capability and stability improve, but the calculation load and system complexity increase
Solution Approach 1:
Each distributed integrated storage-charging station is equipped with autonomous control capabilities including local load prediction models and self-adjustment mechanisms. The stations independently generate their own control instructions based on predicted regulation data and reported regulatable capability data, without requiring constant centralized computation and control. This self-service approach distributes the calculation load locally, reducing the burden on centralized systems while maintaining sophisticated regulation capabilities at each node
Solution Approach 2:
The system performs preliminary load prediction and regulation planning in advance using prediction models that forecast future power supply and demand conditions. By pre-calculating optimal regulation strategies and preparing control instructions before actual grid events occur, the system reduces the need for complex real-time calculations and rapid centralized decision-making, thereby lowering computational complexity while maintaining high regulation capability
3Productivity
If real-time control instructions are issued to each integrated storage-charging station, then the response efficiency is improved, but the communication and control complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where distributed integrated storage-charging stations report their regulatable capability data back to the control system. This feedback loop enables the system to generate targeted control instructions based on actual station capabilities and grid needs, allowing for efficient real-time control while managing communication complexity through structured, capability-based reporting and instruction generation rather than exhaustive continuous monitoring of all parameters
Data Source
AI summary
A control method, apparatus, device, medium, and product for an integrated storage-charging station are disclosed. The method includes: sending predicted regulation data for a control period to an integrated storage-charging station, the predicted regulation data being generated based on a load prediction model corresponding to the integrated storage-charging station; receiving reported regulation data sent by the integrated storage-charging station, the reported regulation data being generated based on the predicted regulation data; generating a control instruction corresponding to the integrated storage-charging station based on winning regulation data, the control instruction carrying final regulation data corresponding to the integrated storage-charging station, and the final regulation data being obtained after splitting the winning regulation data based on the regulation data reported by the integrated storage-charging station; and issuing a corresponding control instruction to the integrated storage-charging station, for instructing the integrated storage-charging station to regulate its own charging and discharging power.