ESS Power Filtering Based on Battery State for Grid Smoothing
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Solution Overview
Problem
The integration of renewable energy sources into power grids is hindered by their intermittent nature, leading to power fluctuations and instability, which can cause energy storage systems (ESS) to quickly reach full charge or discharge states, thereby disrupting smooth service.
Innovation Solution
A power control method and apparatus that adjust filter parameters based on battery information, such as state of charge, charge-discharge balance degree, and direction, to perform power filtering and maintain a stable power output, preventing the ESS from reaching full charge or discharge states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If power filtering is performed using a fixed filter parameter, then the power fluctuation can be suppressed, but the ESS quickly reaches full charge or discharge states, reducing service time
Solution Approach 1:
The filter parameter is changed from a fixed value to a dynamically adjustable value that adapts based on battery state. The adjustable filter parameter allows the system to maintain power stability while preventing the ESS from quickly reaching extreme charge states, thereby extending service time.
Solution Approach 2:
The patent applies parameter changes by modifying the filter parameter based on battery state information (such as state of charge). This allows the filtering characteristics to adapt to different operating conditions, resolving the contradiction between maintaining power stability and extending ESS service duration.
2Duration of action of moving object
If the filter parameter is adjusted frequently to extend ESS service time, then service time is prolonged, but the system complexity increases
Solution Approach 1:
The system uses feedback from battery state information to adjust the filter parameter. By monitoring the state of charge and other battery parameters, the system automatically adjusts the filter parameter to extend service time without requiring complex manual intervention or overly complicated control logic.
Solution Approach 2:
The control system adjusts the filter parameter based on self-monitored battery state information, enabling the system to extend its own service time through autonomous adaptation rather than requiring external complex control mechanisms.
3Reliability
If aggressive power control is applied to maintain strict power limits, then power stability is improved, but the ESS reaches full charge or discharge states faster
Solution Approach 1:
The filter parameter is dynamically adjusted based on battery state to balance power control reliability and service duration. When the battery is in intermediate charge states, the filter provides stronger smoothing for reliability; when approaching extreme states, the filter parameter adjusts to allow more flexibility, extending service time.
Solution Approach 2:
The system changes the filter parameter according to battery state information, transitioning between different control aggressiveness levels. This resolves the contradiction by making the control reliability adaptive rather than fixed, allowing the system to maintain reliability when needed while extending service time when the battery is in vulnerable states.
Data Source
AI summary
A method includes: performing one or more adjustments on a filter parameter based on battery information of the ESS that is at a first control moment, and performing one or more times of power filtering by the filter, until a power fluctuation rate determined based on a power obtained through filtering is less than or equal to a preset threshold; and determining, based on the power obtained through filtering, a given power of the ESS that is at the first control moment. During smooth control of a power, a relationship is established between battery information and a filter characteristic, so as to prevent a battery from quickly reaching a fully charged state or a fully discharged state.