光伏模块最优学习计划

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2018-12-01 DOI:10.1109/IEEM.2018.8607761

Zhonghao Wang, Zhengguo Xu

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引用次数: 0

摘要

本文以光伏发电系统为研究对象，对光伏组件的清洗计划进行了研究。采用动态最优算法，提出了PV的最优清洗计划，以实现利润最大化。该算法综合考虑了粉尘变化、发电量、清洗成本和预测误差。数值计算结果表明，本文提出的最优调度方案能够实现在线利润最大化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal leaning chedule of hotovoltaic Mdule

This paper focuses on the photovoltaic (PV) system and studies the cleaning schedule of the PV modules. An optimal cleaning schedule is proposed by dynamic optimal algorithm for the PV to maximize the profits. The algorithm jointly considers the dust change, electricity generation, cleaning cost and prediction errors. Numerical results reveal that our optimal schedule can maximize the profits online.

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来源期刊

2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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