A Sensing Method Based of Floating Photovoltaic Grids to Sudden Changes in Marine Weather

doi:10.16183/j.cnki.jsjtu.2021.526

Abstract

Abstract:

Currently, the application of floating photovoltaics in the ocean is mainly restricted by the cost of submarine cables and special buoys. It will show a high degree of applicability if the energy is consumed by the unmanned management systems on ocean farms and in other scenarios. The grid system formed by the floating photovoltaics can satisfy the early warning requirements of the sudden weather changes on ocean farms. Due to the strong follow-up of the photovoltaic output model to random weather changes, based on the spatial-temporal correlation analysis of large-area photovoltaics, hardware, distance, time delay, and weather, a similar power station fusion estimation relationship is established. Based on the long short-term memory (LSTM) algorithm, the ultra-short-term prediction value of the time sequence tracking of similar power stations can be used to estimate the early warning of the status of target similar power stations. The city-scale data was used to verify the feasibility of the proposed idea, which shows that the framework can complement traditional research deficiencies.

Key words: floating photovoltaic, marine weather, similar power station, long short-term memory (LSTM)

CLC Number:

TM615

JIANG Haoyu, WANG Peilun, GE Quanbo, XU Jinqiang, LUO Peng, YAO Gang. A Sensing Method Based of Floating Photovoltaic Grids to Sudden Changes in Marine Weather[J]. Journal of Shanghai Jiao Tong University, 2022, 56(12): 1584-1597.

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聚类段	欧氏距离	电站标号
聚类段1	0.7680	13
聚类段2	0.8523	8
聚类段3	0.8739	26
聚类段4	0.9262	14

聚类段	改进距离	欧氏距离	电站标号
聚类段1	0.0299	0.0332	16
聚类段2	0.0428	0.0475	14
聚类段3	0.0582	0.0647	4

时间	RMSE		误差/%
时间	优化前	优化后	优化前	优化后
第5天	0.8491	0.7694	6.54	5.93
第13天	1.0242	0.7821	7.63	6.00
第16天	3.1840	2.4114	23.14	14.35
第28天	1.3802	1.2580	8.72	8.38