基于能量预测的光伏微网储能系统控制策略

发布时间：2018-03-03 15:04

本文选题：光伏微网　切入点：发电预测　出处：《可再生能源》2014年12期 　论文类型：期刊论文

【摘要】：以光伏微网储能系统为研究对象,提出一种融入光伏发电与负荷预测技术的储能系统模糊控制策略。该方案考虑了光伏输出功率随天气条件变化的随机性,建立了光伏短期功率预测最小二乘支持向量机(LSSVM)模型;考虑电力负荷影响因素的多样性与不确定性,基于灰色关联度(GRA)建立了电力负荷LS-SVM预测模型;考虑建立在偏远地区的微网系统,因分布式电源上网造成电能质量下降和电能传输过程的浪费,建立储能系统模糊控制策略,以确定电能最优分配及就地消纳,以保证系统能源利用效率。根据算例分析表明,该控制方案不仅可准确预测光伏微网能量,而且可提高储能系统运行效率,降低电能传输过程中线路损耗以及对电网电能质量的影响。
[Abstract]:Taking the photovoltaic microgrid energy storage system as the research object, this paper presents a fuzzy control strategy for the energy storage system incorporating photovoltaic generation and load forecasting technology. The randomness of the photovoltaic output power varies with the weather conditions is considered in this scheme. The least square support vector machine (LSSVM) model of photovoltaic short-term power prediction is established, and the LS-SVM forecasting model of power load is established based on grey correlation degree (gra) considering the diversity and uncertainty of power load factors. Considering the microgrid system in remote area, the fuzzy control strategy of energy storage system is established to determine the optimal distribution and local absorption of energy due to the decline of power quality caused by distributed power access and the waste of power transmission process. In order to ensure the energy utilization efficiency of the system, the example analysis shows that the control scheme can not only accurately predict the energy of photovoltaic microgrid, but also improve the efficiency of energy storage system. To reduce the line loss and the influence on power quality in the process of power transmission.
【作者单位】：华北电力大学自动化系;内蒙古电力科学研究院;
【基金】：河北省自然科学基金(F2011502001)
【分类号】：TM615

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