Dynamic Battery Charging Setpoints for Wind Solar Peak Clipping
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Solution Overview
Problem
In renewable energy sites, excess energy production is often wasted due to 'clipping' as the overbuilt capacity cannot be sold back to the electrical provider, leading to inefficient battery charging and energy loss.
Innovation Solution
A method and system that dynamically adjust the charging setpoints of rechargeable batteries based on predicted and actual energy input levels from renewable sources, using a controller and battery management system to maximize energy capture by aligning charging with available energy, preventing clipping and optimizing energy storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the battery is charged at maximum capacity during peak renewable energy production, then energy storage capability is improved, but energy clipping is worsened because excess energy cannot be sold back to the grid
Solution Approach 1:
The patent implements dynamic charging setpoints that adjust in real-time based on forecasted energy production and actual system conditions. Instead of using fixed maximum charging rates, the system continuously modifies charging parameters to optimize between storing energy and preventing clipping, allowing adaptive response to changing renewable energy availability
Solution Approach 2:
The system uses forecast data to pre-calculate optimal charging setpoints before peak production periods occur. By anticipating future energy availability and grid conditions, the system prepares charging strategies in advance that maximize energy capture while preventing clipping, rather than reacting after clipping has occurred
Solution Approach 3:
The patent incorporates continuous monitoring of actual energy input levels compared to predicted levels, using this feedback to adjust charging setpoints in real-time. When actual production deviates from forecasts, the system modifies charging parameters to maintain optimality, ensuring the battery charging strategy remains aligned with actual renewable energy availability
2Reliability
If the renewable energy site is overbuilt to maintain optimum grid output, then grid stability is improved, but energy waste is worsened due to excess capacity that cannot be utilized
Solution Approach 1:
The system dynamically changes the charging parameter setpoints based on forecasted production and actual conditions. By adjusting these parameters in real-time, the system enables the overbuilt capacity to be effectively utilized for battery charging during peak production periods, converting what would be wasted excess energy into stored energy that can be used during low-production periods
Solution Approach 2:
Instead of discarding excess energy through clipping, the system recovers it by directing it to charge the battery. The dynamic setpoint adjustment ensures that excess energy from overbuilt capacity is captured and stored rather than lost, maximizing utilization of the installed renewable energy infrastructure
Data Source
AI summary
Various embodiments charges battery for a renewable energy source. In one embodiment, a forecast having a plurality of predetermined time intervals with a predicted energy input level of the renewable energy source corresponding to each predetermined time interval is received. A setpoint is calculated for each predetermined time interval for an amount of power available to charge the battery based on the forecast. The battery is charged during a predetermined time interval according to its corresponding setpoint. An actual energy input level of the renewable energy source is monitored and compared to the predicted energy input level for its corresponding time interval to determine a lesser energy input level. The lesser energy input level is set as the setpoint for the corresponding predetermined time interval.