对于基于分布式能源源的电力系统的海洋掠食者启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式启发式
Khalid Mehmood Cheema1, Khizer Mehmood2, Naveed Ishtiaq Chaudhary3
1Department of Electronic Engineering, Fatima Jinnah Women University, Rawalpindi 46000, Pakistan.
Heliyon
|August 22, 2024
概括
海洋捕食者算法 (MPA) 准确地估计了可再生能源发电系统中的和参数. 这种强大的方法提高了分布式电网中的电力质量评估.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 计算智能是一种计算智能.
背景情况:
- 分布式电力系统集成可再生能源,导致低惯性和从动力电子产品产生波.
- 保持这些系统的电源质量需要精确的和特性评估.
研究的目的:
- 开发和评估海洋捕食者算法 (MPA) 以在分布式电力系统中准确估计波参数.
- 评估MPA在不同噪音水平,种群大小和代的表现.
主要方法:
- 海洋捕食者算法 (MPA),灵感来自捕食者狩猎行为使用利维和布朗运动,被用于和估计.
- 开发了一个具有客观功能的识别模型,以最大限度地减少实际和预测的波信号之间的差异.
主要成果:
- 在不同测试变体中,MPA显示了准确,稳定,可靠和强大的性能.
- 统计分析证实了与爬行动物搜索算法 (RSA) 相比,MPA的有效性.
结论:
- 海洋保护区显示出作为分布式电力系统中估计和参数的优越策略的巨大潜力.
- 提高估计准确性有助于改善可再生能源集成电网的电力质量管理.
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