Microgrid Wind Power Smoothing With SoC-Controlled Battery Reduction
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Solution Overview
Problem
The inherent alternating nature of wind power causes stability issues in microgrids due to frequency variations, voltage deviations, and increased ramp rates, leading to poor power tracking capabilities in battery energy storage systems, which results in the need for larger battery capacities and increased operating costs.
Innovation Solution
A Hodrick-Prescott decomposition system and method that uses a Hodrick-Prescott filter to generate filtered power from renewable energy sources, combined with a state of charge (SoC) control module to manage battery charging and discharging, reducing battery size and improving power tracking and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If low pass filters (LPF) or moving average (MA) filters are used for power fluctuation control, then frequency variations and voltage deviations are reduced, but power tracking capability deteriorates and battery capacity must be increased
Solution Approach 1:
The patent transforms the fixed-parameter traditional filters into adaptive filters by introducing a sliding window mechanism that dynamically adjusts the filtering parameters based on current operating conditions. This allows the filter to maintain optimal performance across varying wind power conditions, improving both stability and power tracking capability simultaneously
Solution Approach 2:
The patent replaces static filtering approaches with a dynamic adaptive filtering mechanism that continuously adjusts its characteristics according to real-time power fluctuations. The sliding window approach enables the system to adapt to changing conditions, maintaining good power tracking while ensuring microgrid stability
2Ease of manufacture
If traditional filters are used with fixed parameters, then implementation is simple, but power tracking capability and adaptability to varying conditions deteriorate
Solution Approach 1:
The patent implements a dynamic adaptive filtering approach using a sliding window that automatically adjusts to varying wind power conditions. The filter parameters are updated in real-time based on the current power fluctuation characteristics, enabling the system to adapt to different operating scenarios while maintaining computational efficiency
Solution Approach 2:
The adaptive filter performs self-adjustment by automatically modifying its parameters based on the observed power fluctuation patterns. The sliding window mechanism enables the system to self-optimize its filtering characteristics without requiring manual intervention or complex external control, maintaining simplicity while improving adaptability
3Stability of the object's composition
If larger battery capacity is used to compensate for poor power tracking, then frequency variations and voltage deviations are better controlled, but system cost and complexity increase
Solution Approach 1:
The patent changes the filtering parameters dynamically using a sliding window approach that adapts to current power conditions. This enables better power tracking with the same battery capacity, or equivalently, achieves the same stability performance with reduced battery capacity requirements
Solution Approach 2:
The sliding window filter performs preliminary power smoothing and tracking before the battery needs to respond to fluctuations. By pre-processing the power signal and anticipating fluctuations, the system reduces the burden on the battery, allowing for smaller battery capacity while maintaining stability
Data Source
AI summary
A microgrid system is described. The microgrid system includes a Hodrick-Prescott filter configured to generate a filtered power based on an electrical power that is generated from an renewable energy. The microgrid system further includes a battery configured to output a battery power based on the electrical power and the filtered power. Also, the microgrid system includes a state of charge (SoC) control module configured to control charging and discharging of the battery by applying a feedback control on the output battery power.


