一个全面的综合太阳能预测算法的综合审查
Negar Rahimi1, Sejun Park1, Wonseok Choi1
1Deptartment of Electrical and Electronic Engineering, Konkuk University, Seoul, South Korea.
概括
准确的太阳辐射预测对于将可再生能源整合到电网中至关重要. 本研究审查了组合方法,将它们分类为竞争性和合作性方法,以改善光伏电力管理.
科学领域:
- 可再生能源系统可再生能源系统
- 电网管理 电网管理
- 太阳能预测 太阳能预测
背景情况:
- 随着能源需求的增加,需要更多地整合太阳能等可再生能源.
- 太阳能的非静止和非线性性质要求对电网稳定性进行准确的预测.
- 光伏电站的可靠性和电力供应/需求管理取决于精确的太阳辐射预测.
研究的目的:
- 提供最近关于太阳辐射预测研究的概述.
- 专注于用于太阳辐射预测的集体方法.
- 为了分类和调查集体预测技术.
主要方法:
- 关于太阳辐射预测的最新文献的综述.
- 集体方法分为竞争性和合作性类别的分类.
- 在竞争集群中分析参数多样性和数据多样性.
- 在合作集团中对前加工和后加工的调查.
主要成果:
- 集成方法为太阳辐射预测提供了一个有前途的方法.
- 竞争性整体预测利用参数和数据多样性.
- 合作集体预测采用预处理和后处理技术.
- 这项研究研究了各种集合预测方法.
结论:
- 集成方法对于提高太阳辐射预测的准确性至关重要.
- 了解不同类型的集体方法 (竞争式和合作式) 是其有效应用的关键.
- 建议进行进一步的研究,以探索先进的组合技术,以改善光伏电站集成和电网管理.
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