Hybrid Energy Storage Sizing for Wind Power Fluctuation Smoothing
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Solution Overview
Problem
The intermittent and variable nature of wind power leads to high-frequency and high-amplitude fluctuations when directly connected to a grid, reducing grid reliability and power quality, necessitating an effective energy storage solution to stabilize wind energy output while minimizing costs.
Innovation Solution
A hybrid energy storage optimal configuration method for grid-connected wind storage power generation systems involves frequency domain decomposition of historical wind power output, establishing a capacity optimization model to minimize annual costs and maximize target satisfaction rate, using a multi-objective optimization algorithm and clustering algorithms to determine optimal hybrid energy storage capacity configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single energy storage device is used, then the device complexity is reduced, but the ability to meet various needs (power and energy requirements) deteriorates
Solution Approach 1:
The energy storage system is segmented into two distinct components: a power energy storage device (type I) for low stable load and long term operation, and an energy storage device (type II) for short-term fast response to frequent charge discharge switching. This segmentation allows each component to specialize in specific functions, improving overall system adaptability while managing complexity through modular design
Solution Approach 2:
The patent combines two different types of energy storage devices into a hybrid energy storage system. The power energy storage device and energy storage device work together in parallel, with the power energy storage device handling long-term stable power supply and the energy storage device handling frequent charge-discharge cycles. This merging allows the system to meet both power and energy requirements simultaneously
2Reliability
If energy storage capacity is increased to improve wind power output stability, then the stability of power output is improved, but the cost of energy storage capacity configuration increases
Solution Approach 1:
The patent applies partial action by having each energy storage device handle only the portion of the load appropriate to its capabilities. The power energy storage device handles the stable power portion, while the energy storage device handles the fluctuating energy portion. This avoids the excessive action of using a single oversized energy storage device that would be required to handle both functions, thereby reducing total capacity and cost while achieving the same stability improvement
3Device complexity
If wind power is directly connected to the grid without energy storage, then the device complexity is minimized, but voltage fluctuations and grid reliability deteriorate
Solution Approach 1:
The hybrid energy storage system acts as an intermediary between the wind power source and the grid. The power energy storage device and energy storage device together smooth out the high-frequency and high-amplitude fluctuations from wind power before connecting to the grid, thereby improving voltage stability and grid reliability without requiring direct connection of raw wind power
Data Source
AI summary
An optimal configuration method for a hybrid energy storage of a grid-connected wind storage power generation system is provided, including: performing a frequency domain decomposition on a historical wind power output, to count high-frequency and low-frequency components of the historical wind power output, and determining a rated power of the hybrid energy storage based on a probability distribution function; establishing a hybrid energy storage capacity optimization model for a full life cycle of a wind farm to minimize a net present value of an annual cost and maximize a target satisfaction rate of an output; extracting a daily typical scenario for the wind power output based on a clustering algorithm to count a time proportion of each typical scenario as an input scenario of the hybrid energy storage capacity optimization model for the full life cycle of the wind farm; and solving with a multi-objective optimization algorithm, to obtain an optimal hybrid energy storage capacity configuration scheme for the grid-connected wind storage power generation system. By optimizing a distribution of the high- and low-frequency fluctuation components between the hybrid energy storage, a battery life is extended while a fluctuation smoothing effect is effectively improved.