Electrical Storage Station Control for Forecast-Based Feed-In Smoothing
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Solution Overview
Problem
Electrical storage stations in island networks face challenges in maintaining an optimal state of charge while minimizing load, especially when renewable energy sources fluctuate, as they often rely on diesel generators which have limited capacity for rapid changes and high wear.
Innovation Solution
A method for operating an electrical storage station that adjusts its state of charge based on wind and power forecasts, controlling feed-in power and specifying limit gradients to manage fluctuations, thereby reducing the need for fossil fuel generators and extending the storage station's service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the storage station is charged to a higher state of charge to compensate for expected power drops from regenerative generators, then the ability to compensate for power fluctuations is improved, but the service life of the storage station is reduced due to increased load and more charging cycles
Solution Approach 1:
The control concept uses wind forecasts and power forecasts to predict future power availability from regenerative generators. Based on these predictions, the storage station proactively adjusts its state of charge in advance of actual power fluctuations, rather than reactively responding after fluctuations occur. This preliminary action allows the system to prepare for expected power drops or increases, improving reliability while managing the storage station's load strategically.
Solution Approach 2:
The target state of charge is made dynamic rather than fixed at 50%. The control concept continuously adjusts the target state of charge based on current and forecasted power conditions, wind forecasts, power forecasts, and the service life of the storage station. This dynamic adaptation allows the system to optimize between reliability and service life under varying operating conditions.
2Adaptability or versatility
If the storage station operates at a medium state of charge (50%) to balance both charging and discharging needs, then the versatility to handle both power increases and reductions is improved, but the ability to prepare for asymmetric future conditions is limited
Solution Approach 1:
The control concept implements feedback loops that continuously monitor the actual state of charge, compare it with the dynamically calculated target state of charge, and adjust the feed-in power accordingly. Wind forecasts and power forecasts provide forward-looking feedback that allows the system to anticipate future conditions and adjust the target state of charge preemptively, rather than simply reacting to current deviations from 50%.
3Quantity of substance
If diesel generators are operated at high power to charge the storage station in advance, then the state of charge can be increased to compensate for future power drops, but the wear on the diesel generator increases and service life is reduced
Solution Approach 1:
The control concept changes the operational parameters of the diesel generator by adjusting its power output based on forecasted conditions and current state of charge. Rather than operating at constant high power or constant low power, the diesel generator's power output is dynamically modulated to match the charging needs predicted by wind forecasts and power forecasts, thereby reducing unnecessary wear while still achieving the required state of charge adjustments.
Data Source
AI summary
Provided is a method for operating an electrical storage station on an electrical supply network. The network has electrical consumers, the storage station, and at least one wind power installation to generate electrical power from wind. The method includes generating electrical power by way of the installation as generated wind power, and feeding a feed-in power into the network. The electrical feed-in power at least results from the generated wind power and a storage power taken up or output by the storage station. The feeding of the feed-in power into the network is controlled depending on a station state of charge and a wind and/or power forecast. Changes in the feed-in power over time are controlled depending on the wind and/or power forecast and a limit gradient is specified to limit the changes in the feed-in power thereto. The limit gradient is specified depending on the wind and/or power forecast.