岛屿海洋微电网的前性频率管理,利用异质的发电源和非线性控制,辅助储能集成
Odelu P1, Chandan Kumar Shiva1, Sachidananda Sen1
1Department of Electrical and Electronics Engineering, SR University, Warangal, Telangana, 506371, India.
Scientific reports
|April 21, 2025
概括
一个新的混乱的黑猩猩山鱼优化器 (CCMGO) 优化了海洋微电网的分数顺序比例积分导数 (FOPID) 控制器. 这种先进的方法显著改善了负载频率调节和系统稳定性,防止干扰.
科学领域:
- 可再生能源系统可再生能源系统
- 控制工程 控制工程 控制工程
- 海洋工程 海洋工程
背景情况:
- 由于间歇性可再生能源,不可预测的负载和非线性动态,海洋微电网面临着重大负载频率调节挑战.
- 传统的控制策略在这些复杂系统的融合,适应性和最佳频率稳定性方面存在局限性.
- 强大的频率调节和增强的系统稳定性对于在动态的海洋环境中可靠运行至关重要.
研究的目的:
- 提出和评估一种新型的优化技术,即混乱的黑猩猩-山优化器 (CCMGO),用于增强多源海洋微电网的负载频率调节.
- 用CCMGO算法优化分数顺序比例积分导数 (FOPID) 控制器,以提高性能.
- 评估CCMGO优化的控制器在各种动态负载条件下对传统方法的有效性.
主要方法:
- 通过整合山优化器,混乱映射和黑猩猩优化算法的优势,开发混乱黑猩猩山优化器 (CCMGO).
- 应用CCMGO调整各种控制器的参数,包括PID,PD-PID,FOPI-FOPID和FOPID,用于多源海洋微电网.
- 基于模拟的性能评估在各种负载干扰下 (脉冲,坡道,随机) 结合可再生能源 (波浪,风能,太阳能) 和储能系统 (电池,超电容器,电动汽车).
主要成果:
- 与负载频率调节中的传统策略相比,CCMGO优化的FOPID控制器表现出更高的性能.
- 实现了显著降低频率偏差和更快的沉降时间,表明增强的短暂响应和稳定性.
- CCMGO算法有效地防止了过早的融合,并提高了海洋微电网的整体控制效率.
结论:
- CCMGO-FOPID方法为优化在具有挑战性的海洋微电网环境中的控制性能提供了强大的和适应性的解决方案.
- 这种先进的控制策略确保了基于可再生能源的海洋电力系统的更高的弹性,稳定性和能源效率.
- 这些发现凸显了元启发式优化技术在解决可再生能源整合中复杂控制问题的潜力.
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