Grid Energy Storage Charge-State Limits for Future Reserve Power
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Solution Overview
Problem
Existing grid energy management systems struggle to ensure that energy storage apparatuses have sufficient reserve power to absorb power excesses or deficiencies in subsequent sections, leading to potential energy losses.
Innovation Solution
A calculation method and apparatus that determine the range of the final charge state of an energy storage apparatus based on supply and demand predictions for the next section or later, ensuring that the reserve power is secured at the start of the next section by matching the final charge state with a calculated range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the state of charge of the energy storage apparatus is determined only by the supply and demand prediction of the power in the current section, then the optimization calculation for the current section can be performed simply, but the energy storage apparatus cannot secure the reserve power needed to absorb excess or deficiency of power in the next section or later
Solution Approach 1:
The patent applies preliminary action by determining the range of the final charge state in the prediction target section based on supply and demand predictions for the next section or later, before the optimization calculation is performed. This ensures that reserve power is secured in advance for absorbing future power excesses or deficiencies, rather than reacting after the fact.
Solution Approach 2:
The patent extends the optimization calculation from a single-section perspective to a multi-section perspective by incorporating supply and demand predictions for the next section or later into the determination of the final charge state range. This dimensional extension ensures that current charging/discharging decisions account for future power balance requirements.
2Reliability
If the final charge state range is determined based on supply and demand prediction of power in the next section or later, then reserve power can be secured for the next section, but the complexity of the optimization calculation increases
Solution Approach 1:
By preliminarily determining the range of the final charge state based on future supply and demand predictions before performing the optimization calculation, the patent reduces the complexity of the optimization itself. The optimization then only needs to evaluate whether the calculated final charge state falls within this pre-determined range, rather than simultaneously solving for both the final charge state and the range constraints.
3Loss of energy
If the final charge state is matched with the calculated range through optimization calculation, then energy losses are prevented and energy use efficiency is optimized, but the calculation requires additional evaluation steps
Solution Approach 1:
The patent implements feedback by evaluating whether the final charge state calculated through optimization matches the pre-determined range of the final charge state. This feedback mechanism ensures that the optimized charging/discharging strategy actually achieves the goal of securing reserve power for future sections, and allows for adjustments if the match is not satisfied.
Data Source
AI summary
A calculation device 20 is linked with an electric power system 1 and optimizes energy utilization efficiency of a grid S1 including a power storage device 15. The calculation device 20 determines the range of a final charge state of a prediction target section of the power storage device 15 on the basis of power demand prediction for the next and following sections, and assesses, through the optimization calculation for the prediction target section, whether or not the final charge state of the section falls within the range.