基于改进的PSO算法的新型MPPT控制实时实施,使用光伏系统的自适应因素选择策略
Chiheb Ben Regaya1, Hichem Hamdi1, Fethi Farhani1
1Engineering Laboratory of Industrial Systems and Renewable Energies (LISIER), Higher National Engineering School of Tunis (ENSIT), University of Tunis, Tunisia.
一个新的异质的多团粒子团优化 (PSO) 算法 (FMSPSO) 提高了光伏 (PV) 系统的效率. 这款新的最大功率点跟踪 (MPPT) 控制器在不同条件下提供更快的融合和更低的振荡.
科学领域:
- 可再生能源系统可再生能源系统
- 控制系统工程 控制系统工程
背景情况:
- 光伏 (PV) 系统需要最大功率点跟踪 (MPPT) 才能获得最佳的能量收获.
- 传统的 MPPT 算法,如 Perturb and Observe (P&O) 和标准的粒子集群优化 (PSO),具有诸如不稳定性,振荡和缓慢融合等局限性.
研究的目的:
- 引入一种新的MPPT控制器,即适应因子异质多群PSO (FMSPSO).
- 通过提高稳定性,融合速度和减少振荡来解决现有的MPPT算法的缺陷.
主要方法:
- 开发一个修改的异质多群PSO算法与自适应因素选择策略 (FMSPSO).
- 对FMSPSO与传统PSO,自适应神经模糊推理系统 (ANFIS) 和P&O控制器进行比较分析.
- 实验验证使用NI-myRIO-1900卡进行实时性能评估.
主要成果:
- 在追踪最大功率点 (MPP) 方面,FMSPSO算法表现出卓越的性能.
- 与PSO,ANFIS和P&O相比,FMSPSO实现了显著缩短的融合时间和减少的振荡.
- 实验结果证实,在不同的辐射和温度条件下,效率超过99%.
结论:
- 拟议的FMSPSO算法有效地克服了传统MPPT控制器的局限性.
- 即使在具有挑战性的环境条件下,FMSPSO也为最大限度地从光伏系统中提取功率提供了强大而高效的解决方案.
更多相关视频
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
相关概念视频
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
PI Controller: Design
PD Controller: Design
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
PID Controller
Frequency-Domain Interpretation of PD Control
The proportional control gain, combined with the...
Time and frequency -Domain Interpretation of PI Control
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
