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基于台区功率共济的屋顶光伏功率消纳方法 被引量:5

Roof Photovoltaic Power Consumption Method Based on Power Mutual Aid in Station Area
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摘要 随着整县屋顶光伏试点工作的逐步推进,光伏功率消纳的问题日益凸显。为解决光伏发电功率波动大、消纳率低的问题,提出了一种基于台区功率共济的屋顶光伏功率消纳方法。首先,通过边缘物联终端采集配电台区屋顶光伏的发电功率数据,并采用长短期记忆网络对光伏历史发电功率和气象数据进行综合分析,生成多时间尺度的光伏发电预测曲线;其次,通过储能装置、跨台区联络开关建立微电网调度控制模型,计及短期光伏发电功率预测,合理安排用能策略、储能策略和跨配电台区功率共济消纳策略,以提高光伏功率的消纳水平;最后,在某县应用该方法,其光伏功率消纳比例达95.26%,较蒙特卡洛方法提高16.18%,运行结果验证了所提方法的有效性。 With the gradual advancement of the roof photovoltaic pilot work in the whole county,the problem of photovoltaic power consumption has become increasingly prominent.In order to solve the problem of large power fluctuation and low consumption rate of photovoltaic power generation,a roof photovoltaic power consumption method based on station area power mutual aid is proposed in this paper.Firstly,the generation power data of roof photovoltaic in the distribution station area are collected through the edge IOT terminal,the long short-term memory network is used to comprehensively analyze the historical generation power and meteorological data of photovoltaic,so as to generate a multi time scale photovoltaic generation prediction curve.Secondly,the microgrid dispatching control model is established through the energy storage device and cross station area tie switch,taking into account the short-term photovoltaic power generation power prediction,and reasonably arrange the energy consumption strategy,energy storage strategy and cross station area power consumption strategy,so as to improve the consumption level of photovoltaic power.Finally,the proposed method is applied in a county,the photovoltaic power consumption ratio of the proposed method is 95.26%,which is 16.18%higher than that of Monte Carlo method.The operation results verify the effectiveness of the proposed method.
作者 唐冬来 秦耀文 付世峻 吕小红 黄璞 叶鸿飞 TANG Donglai;QIN Yaowen;FU Shijun;LYU Xiaohong;HUANG Pu;YE Hongfei(Aostar Information Technology Co.,Ltd.,Chengdu 610074,China;State Grid Information and Communication Industry Group Co.,Ltd.,Beijing 100000,China;State Grid Chongqing Electric Power Company,Chongqing 408200,China)
出处 《供用电》 2022年第2期9-14,共6页 Distribution & Utilization
基金 国家电网有限公司科技项目(202058184A)。
关键词 屋顶光伏 功率消纳 台区功率共济 长短期记忆网络 发电预测 微电网调度 roof photovoltaic power consumption power mutual aid in station area long short-term memory network power generation prediction microgrid dispatching
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