Shared Energy Storage Scheduling for Frequency Regulation Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The integration of shared energy storage systems into both grid-side frequency regulation and user-side load demand optimization leads to inefficient utilization and rapid capacity decline due to frequent switching, resulting in safety concerns and low economic value.
Innovation Solution
A shared energy storage scheduling method and system that uses a mixed integer linear programming algorithm to optimize energy frequency regulation and load demand, incorporating a hierarchical control strategy to manage the charging and discharging of the system, thereby reducing switching frequency and improving system efficiency and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the shared energy storage system participates in both grid-side frequency regulation and user-side energy optimization scheduling, then the utilization efficiency of the energy storage system is improved, but the frequent switching of charging-discharging state leads to rapid capacity decline and safety problems
Solution Approach 1:
The patent segments the shared energy storage system into multiple independent energy storage units, each capable of autonomous charging and discharging operations. This segmentation allows the system to distribute the frequent switching operations across multiple units rather than subjecting a single unit to excessive stress, thereby maintaining high utilization efficiency while reducing capacity decline and safety risks for individual units.
Solution Approach 2:
The patent dynamically adjusts operational parameters such as charging-discharging power limits, state of charge thresholds, and response priorities based on real-time system conditions, grid requirements, and user demands. By changing these parameters adaptively, the system optimizes utilization efficiency while preventing excessive switching frequency that would lead to capacity degradation and safety issues.
2Adaptability or versatility
If the shared energy storage system participates in cooperative optimization scheduling of grid-side frequency regulation and user-side energy optimization, then the application value of the system is improved, but the frequent switching of charging-discharging state results in rapid capacity decline
Solution Approach 1:
The system divides the energy storage capacity into multiple independent units that can operate semi-autonomously. This segmentation enables the system to participate in diverse applications (grid frequency regulation, user-side optimization, energy arbitrage) simultaneously while distributing the operational stress across multiple units, thereby extending the service life of each individual unit despite high overall utilization.
Solution Approach 2:
The patent implements dynamic control strategies that adjust the operating state of each energy storage unit in real-time based on system needs, state of charge levels, and operational history. This dynamic management optimizes the system's adaptability to various applications while reducing unnecessary switching operations, thereby extending the service life of the energy storage units.
3Productivity
If the shared energy storage system is configured to participate in multiple scenarios simultaneously, then the efficiency of the energy storage system is improved, but the frequent switching leads to unpredictable safety problems
Solution Approach 1:
The patent segments the energy storage system into multiple independent units with defined operational boundaries and control zones. Each unit operates with predetermined charging-discharging thresholds and power limits, which segment the control complexity and make the system's response to multiple scenarios more predictable and safer, while still achieving high overall efficiency.
Solution Approach 2:
The system incorporates real-time feedback mechanisms that continuously monitor the state of charge, power output/input, temperature, and operational status of each energy storage unit. This feedback enables the control system to predict potential safety issues before they occur and adjust operations proactively, maintaining high efficiency while ensuring predictable and reliable safety performance even when participating in multiple scenarios simultaneously.
Data Source
AI summary
The present application provides a shared energy storage scheduling method and system based on energy frequency regulation and load demand. The method includes: establishing an objective function of a shared energy storage system participating in cooperative scheduling of energy frequency regulation and load demand; inputting relevant parameters of a grid side, a user side and the shared energy storage system into the objective function; solving the objective function according to an objective function constraint condition and a switching cost of a load importance degree and in combination with a mixed integer linear programming algorithm, to obtain a shared energy storage configuration scheme; configuring the shared energy storage system according to the shared energy storage configuration scheme, and controlling the shared energy storage system to participate in energy cooperative scheduling of the grid side and the user side according to a hierarchical control strategy of the shared energy storage system.