Electrical Storage Feed-In Control for Forecasted Wind Fluctuations
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Solution Overview
Problem
Electrical storage stations in island networks face challenges in maintaining an optimal charge state to compensate for fluctuations in renewable energy sources like wind and photovoltaic power, while minimizing the use of fossil fuel generators and avoiding excessive wear on diesel generators.
Innovation Solution
A method for operating an electrical storage station that adjusts its feed-in power based on wind and power forecasts, using limit gradients to control temporal changes and optimize the state of charge, thereby reducing the need for fossil fuel compensation and extending the lifespan of generators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the storage station is charged to compensate for expected decrease in renewable power, then the state of charge is improved, but diesel generator wear increases due to high power operation
Solution Approach 1:
The control concept uses wind forecasts and power forecasts to predict future renewable energy generation and proactively adjusts the storage station's charge state before the actual power fluctuation occurs. This preliminary action allows the system to prepare appropriate charge levels in advance, avoiding the need for diesel generators to operate at high power to compensate for unexpected power shortfalls.
Solution Approach 2:
The system dynamically adjusts the charge state of the storage station based on real-time wind forecasts and power forecasts rather than maintaining a fixed charge level. This dynamic adaptation allows the control concept to optimize the balance between maintaining reliability and minimizing diesel generator wear under varying forecast conditions.
2Productivity
If the storage station releases power to compensate for renewable power decrease, then power compensation is improved, but the state of charge decreases making future compensation difficult
Solution Approach 1:
By using power forecasts to predict when renewable generation will decrease, the system proactively manages the storage station's charge state in advance. This allows the system to release power at appropriate times while maintaining sufficient charge reserves for future compensation needs, rather than reactively depleting storage when power shortfalls occur.
Solution Approach 2:
The control concept continuously monitors the actual power generation from renewable sources and compares it with forecasts, using this feedback to adjust the charge state management strategy. This feedback mechanism ensures that the system maintains an optimal balance between releasing power for compensation and preserving charge for future needs.
3Productivity
If the storage station absorbs power when renewable generation increases, then fluctuation compensation is improved, but the state of charge increases reducing ability to handle future decreases
Solution Approach 1:
The system uses wind forecasts and power forecasts to predict future renewable generation patterns and proactively adjusts the charge state to maintain adaptability. Rather than simply absorbing all available power when generation increases, the control concept anticipates future power decreases and preserves sufficient charge capacity in advance, enabling the system to respond flexibly to both increases and decreases in renewable generation.
4Reliability
If fossil fuel generators are used to compensate for renewable power deficits, then power supply reliability is improved, but the need for storage station charging increases
Solution Approach 1:
The control concept uses forecasts to predict power deficits from renewable sources and proactively manages storage station charging in advance, rather than relying on fossil fuel generators as the primary compensation mechanism. This preliminary planning allows the system to optimize the use of storage resources and reduce the need for fossil fuel generation.
Solution Approach 2:
The system continuously compares forecasted renewable power generation with actual generation and adjusts the charging strategy accordingly. This feedback mechanism allows the control concept to dynamically optimize the balance between charging the storage station and using fossil fuel generators, minimizing fossil fuel usage while maintaining power supply reliability.
Data Source
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AI summary
The invention relates to a method for operating an electrical storage station (200) on an electrical power supply network (120), and the electrical power supply network (120) comprises, in addition to electrical loads (320, 322), at least the electrical storage station (200), for receiving and outputting electrical storage power, and at least one wind turbine (100) in order to generate electrical power from wind. The method comprises the steps of generating electrical power by means of the at least one wind turbine (100) as generated wind power (PW), and feeding a feed-in power into the electrical power supply network (120). The electrical feed-in power (PF) results from the generated wind power and storage power (PS) received or output by the storage station (200), the feeding of the feed-in power into the electrical power supply network (120) being controlled depending upon a state of charge of the storage station (200) and depending upon a wind forecast and/or a power forecast. Timing changes for the feed-in power are controlled depending upon the wind forecast and/or the power forecast, and at least one limiting gradient (Gmax) is predetermined for changes in the feed-in power in order to limit changes in the feed-in power thereto, the at least one limiting gradient being predetermined depending upon the wind forecast and/or the power forecast.