A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology
Abstract
:1. Introduction
2. Power Smoothing Control Method Based on an Inertial Filter and PID Control Algorithm
2.1. Simplified Diagrams of the Power Smoothing Control Model
2.2. The Relationship between Inertia Filtering Time Constant and BESS Capacity
2.3. Simulation Example of Power Smoothing Based on an Inertial Filter
2.4. Power Smoothing Control Based on Inertial Filter and PID Control Algorithm
3. The Construction of a Power Smoothing Model Based on a Hybrid Energy Storage System
3.1. The Fluctuating Characteristics of Wind Power
3.2. Multi-Scale Decomposition of Wind Power Signals Based on Multi-Resolution Analysis Theory
3.3. The Structure of the Power Smoothing Model Based on Hybrid Energy Storage Technology
3.4. Comparison of Smoothed Power Based on Wavelet Theory and Inertial Filter
4. The Realization of Power Smoothing Control Strategy Based on Model Algorithmic Control (MAC)
4.1. Principles of Model Algorithmic Control (MAC)
4.2. Simulation Examples of Power Smoothing Control Strategy Combining MAC Control and Wavelet Transform
5. The Capacity Allocations of BESS Based on Wavelet Transform
Time | Inertial Filter | Wavelet Filter | ||||||
---|---|---|---|---|---|---|---|---|
T = 600 s | T = 1200 s | T = 1800 s | ||||||
Capacity | Fluctuation rate | Capacity | Fluctuation rate | Capacity | Fluctuation rate | Capacity | Fluctuation rate | |
10 min | 0.1175 | 0.22% | 0.1324 | 0.12% | 0.1381 | 0.08% | 0.3605 | 0.05% |
30 min | 0.4402 | 0.36% | 0.5619 | 0.18% | 0.6258 | 0.13% | 0.34 | 0.05% |
1 h | 0.5751 | 0.36% | 0.9073 | 0.18% | 1.1406 | 0.13% | 1.2406 | 0.16% |
6 h | 12.3531 | 1.07% | 23.6910 | 0.8% | 34.7048 | 0.68% | 4.2565 | 0.47% |
12 h | 12.7734 | 1.36% | 24.4047 | 1.05% | 35.8569 | 0.89% | 10.4147 | 0.47% |
24 h | 12.7734 | 1.36% | 24.4047 | 1.05% | 35.8569 | 0.89% | 11.5506 | 0.47% |
7 day | 12.0890 | 6.27% | 27.3457 | 3.17% | 40.5777 | 2.07% | 21.0206 | 0.57% |
14 day | 14.0891 | 6.27% | 27.3483 | 3.17% | 40.5902 | 2.07% | 35.2689 | 0.58% |
30 day | 14.4780 | 6.27% | 28.1508 | 3.17% | 41.6251 | 2.07% | 35.2689 | 0.58% |
Month | Inertial Filter | Wavelet Filter | ||||||
---|---|---|---|---|---|---|---|---|
T = 600 s | T = 1200 s | T = 1800 s | ||||||
Capacity | Fluctuation rate | Capacity | Fluctuation rate | Capacity | Fluctuation rate | Capacity | Fluctuation rate | |
1 | 13.5525 | 5.69% | 26.3605 | 3.07% | 39.2466 | 2.11% | 32.0343 | 0.68% |
2 | 12.0408 | 4.91% | 23.3865 | 2.78% | 34.9313 | 1.93% | 25.9837 | 0.58% |
3 | 11.5335 | 6.01% | 22.4609 | 3.07% | 33.3663 | 2.04% | 26.9449 | 0.57% |
4 | 14.4780 | 6.27% | 28.1508 | 3.17% | 41.6251 | 2.07% | 35.2689 | 0.58% |
5 | 14.4155 | 7.02% | 28.1101 | 3.74% | 41.8126 | 2.55% | 41.9205 | 0.75% |
6 | 13.4053 | 3.12% | 25.9378 | 1.71% | 38.3804 | 1.28% | 26.3218 | 0.48% |
7 | 13.4397 | 5.29% | 25.9693 | 2.53% | 38.2902 | 1.81% | 26.8048 | 0.46% |
8 | 11.78881 | 3.22% | 22.4104 | 1.57% | 32.3637 | 1.19% | 19.6621 | 0.39% |
9 | 14.0477 | 2.98% | 27.2093 | 1.66% | 40.0676 | 1.21% | 23.4834 | 0.54% |
10 | 14.6336 | 3.61% | 28.3331 | 2.20% | 41.7807 | 1.56% | 26.6868 | 0.54% |
11 | 15.2521 | 5.63% | 29.4935 | 3.12% | 43.7327 | 2.14% | 29.0139 | 0.75% |
12 | 15.0642 | 6.47% | 29.3345 | 3.36% | 43.5619 | 2.29% | 38.0849 | 0.79% |
6. Conclusions
Acknowledgments
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Han, X.; Chen, F.; Cui, X.; Li, Y.; Li, X. A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology. Energies 2012, 5, 1593-1612. https://doi.org/10.3390/en5051593
Han X, Chen F, Cui X, Li Y, Li X. A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology. Energies. 2012; 5(5):1593-1612. https://doi.org/10.3390/en5051593
Chicago/Turabian StyleHan, Xiaojuan, Fang Chen, Xiwang Cui, Yong Li, and Xiangjun Li. 2012. "A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology" Energies 5, no. 5: 1593-1612. https://doi.org/10.3390/en5051593