Battery Power Plant Charge Regulation via Excess Detection Accuracy
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Solution Overview
Problem
Existing methods for controlling the state of charge of battery power plants in electric energy distribution networks are inefficient, leading to potential grid frequency imbalances and extended periods for setting the optimum state of charge, which can result in battery power plants failing to fulfill their grid service due to state of charge limits.
Innovation Solution
A method that utilizes the speed and controllability of battery power plants to maintain an optimum state of charge by determining the state of charge and detecting physical quantities with higher accuracy and speed, allowing for precise power transfer between the battery power plant and the energy distribution network, using strategies such as selecting favorable frequencies, applying offsets, and increasing power gradients to optimize charging and discharging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If charging or discharging of the battery power plant is effected only when the actual value of the grid frequency lies within the specified setpoint range, then the state of charge can be controlled, but the actual value of the grid frequency may exceed or fall below the specified setpoint limits, causing the charging or discharging operation to stop and extending the time to set the optimum state of charge
Solution Approach 1:
The patent applies partial action by utilizing only the excess detection accuracy beyond the specified minimum requirements for state of charge control. The battery power plant detects physical quantities with higher accuracy than required, and this excess accuracy is used to identify favorable frequencies within the setpoint range for charging or discharging operations, thereby avoiding grid frequency violations while maintaining optimal state of charge.
2Speed
If the battery power plant uses its speed and controllability to provide primary control power, then grid frequency control is improved, but the state of charge may deviate from the optimum value, reducing the ability to provide primary control power
Solution Approach 1:
The patent implements feedback control by continuously monitoring both the grid frequency and the state of charge of the battery power plant. Based on the detected state of charge and the current grid frequency, the system dynamically adjusts the charging or discharging operations to maintain the state of charge within an optimal range while simultaneously providing primary control power to the grid, thus resolving the contradiction between response speed and state of charge stability.
3Productivity
If detection speed and detection accuracy are increased beyond specified limit values, then favorable frequencies can be identified for power transfer, but the complexity of the control system increases
Solution Approach 1:
The patent applies self-service by utilizing the battery power plant's own excess detection capabilities to identify favorable frequencies for power transfer. The system uses its high-speed, high-accuracy detection infrastructure, already in place for primary control power provision, to simultaneously determine optimal moments for charging or discharging, thereby improving power transfer efficiency without requiring additional complex control systems.
Data Source
AI summary
In a method for controlling the state of charge (SOC) of a battery power plant (1), which for controlling at least one physical quantity (P, f) is connected to an electric energy distribution network (2), the state of charge (SOC) of the battery power plant (1) is detected for at least one physical quantity (P, f) of the energy distribution network (2) with a detection speed and/or detection accuracy which are greater than specified limit values for a minimum detection speed and detection accuracy of the physical quantity (P, f), and the electric power transfer between the battery power plant (1) and the energy distribution network (2) is determined by taking account of the difference between the actual and the specified control speed and control accuracy of the physical quantity (P, f) to be controlled as well as a difference between the actual and the specified height and rate of change of the power transfer between the battery power plant (1) and the energy distribution network (2).