光伏系统
随机性
计算机科学
数学优化
能源消耗
波动性(金融)
分布式发电
可靠性工程
分布式计算
工程类
电气工程
经济
计量经济学
可再生能源
数学
统计
作者
Jingliao Sun,Changhong Hu,Fuxian Mei,Yejun Xiang,Jinyuan Liu
出处
期刊:Journal of physics
[IOP Publishing]
日期:2023-04-01
卷期号:2474 (1): 012008-012008
被引量:3
标识
DOI:10.1088/1742-6596/2474/1/012008
摘要
Abstract With the active promotion of the double carbon policy, vigorously developing the new energy industry is our important job. Considering the volatility and randomness of distributed photovoltaic forces, abandonment often occurs. This article proposes a new energy consumption capability analysis model that considers distributed photovoltaic uncertainty. First of all, a typical contribution curve of massive scenarios is reduced to generate a typical power curve of distributed photovoltaic; then the model simplifies; finally, based on the random optimization method, the operating cost, photovoltaic construction cost, and abandoned cost of the unit are based on the random optimization method. The above theory is verified by the IEEE 33 standard node, which proves the theory’s effectiveness. The energy storage equipment can improve the configuration capacity of distributed photovoltaic, reduce system operating costs, and improve the ability of new energy.
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