Multi-Type Battery Energy Storage Power Station Charge Discharge Rate Management
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Solution Overview
Problem
Existing power control and energy management methods for large-scale battery energy storage systems fail to consider the charge and discharge rate properties of batteries, leading to suboptimal use of multi-type energy storage systems and reduced battery service life.
Innovation Solution
A real-time energy management method that allocates total power demands by reading battery state values, calculating charge and discharge rate characteristics, and adjusting power command values to ensure they do not exceed maximum allowable limits, using a greedy algorithm to optimize power distribution across different battery types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing power control methods are used without considering charge and discharge rate properties, then the control system is simple, but the battery service life is reduced and working efficiency is suboptimal
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting power allocation based on charge and discharge rate characteristics. The control method monitors state of charge (SOC) and charge/discharge rates in real-time, then adjusts power command values to optimize battery performance and extend service life without requiring complex hardware modifications.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring battery state parameters (SOC, charge/discharge rates) and using this information to adjust power allocation decisions. The control system receives feedback from battery status and dynamically modifies power commands to prevent overcharge/overdischarge and optimize working efficiency.
2Productivity
If multi-type energy storage systems are used to optimize working efficiency, then the energy management complexity increases, but the service life extension and efficiency optimization benefits are achieved
Solution Approach 1:
The patent applies segmentation by dividing the multi-type energy storage system into individually manageable battery packs, each with its own state monitoring and power allocation. The total power demand is segmented and allocated to different battery types based on their specific charge/discharge rate characteristics and current state, allowing complex multi-type management through modular individual control.
Solution Approach 2:
The patent implements local quality by assigning different control strategies to different battery types based on their specific characteristics. Each battery pack receives customized power allocation considering its own charge/discharge rate properties, SOC state, and performance characteristics, rather than applying a uniform control approach to all battery types.
3Duration of action of stationary object
If charge and discharge rate constraints are applied to power allocation, then battery service life is extended, but the real-time control calculation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing charge and discharge rate constraint parameters for different battery types before real-time operation. These predetermined constraints are stored and readily available for quick reference during real-time control, avoiding the need for complex real-time calculations while ensuring service life extension through consistent constraint application.
Solution Approach 2:
The patent implements partial action by applying charge and discharge rate constraints selectively based on battery state. Rather than continuously applying maximum constraints, the system adjusts constraint application based on current SOC and operational conditions, reducing unnecessary control complexity while maintaining service life benefits when constraints are most needed.
Data Source
AI summary
The present invention provides an energy management method of a multi-type battery energy storage power station considering charge and discharge rates, that includes: reading related data of the battery energy storage power station; calculating charge or discharge rate characteristic values of battery energy storage machine sets; calculating initial power command values of the battery energy storage machine sets; judging whether the initial power command values of the battery energy storage machine sets exceed the maximum allowable charge or discharge power of the machine sets in real time, if more than, online correcting and re-calculating the initial power command values of the battery energy storage machine sets; otherwise, setting the initial power command values of the energy storage machine sets as the power command values thereof; and summarizing the power command values of the battery energy storage machine sets, and outputting the same. With the reasonable control of the charge and discharge rates of the energy storage machines sets as target, the energy management method of the present invention is used for carrying out power coordinated control and energy management in the energy storage power station, and considering the service lives of energy storage batteries in the control strategy to achieve the functions of avoiding abuse of the energy storage batteries as much as possible, delaying battery aging and the like.