• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2016, Vol. 37 ›› Issue (8): 90-.doi: 10.3969/j.issn.1000-7229.2016.08.014

• 优化设计与控制 • 上一篇    下一篇

基于储能电池的光伏功率波动平抑策略

章竹耀,肖欣,郭晓丽,姜亚海,顾磊,陈伟峰   

  1. 南通大学电气工程学院,江苏省南通市 226019
  • 出版日期:2016-08-01
  • 作者简介:章竹耀(1991),男,硕士研究生,研究方向为新能源发电技术; 肖欣(1990),女,硕士研究生,研究方向为微网与电力系统分析; 郭晓丽(1971),女,硕士,副教授,硕士生导师,研究方向为新能源发电技术、智能电网与微网、电力系统规划运行等; 姜亚海(1990),男,硕士研究生,研究方向为智能控制; 顾磊(1991),男,硕士研究生,研究方向为嵌入式技术应用、智能控制、新能源; 陈伟峰(1990),男,硕士研究生,研究方向为嵌入式系统、智能控制、新能源。
  • 基金资助:
    国家自然科学基金项目(51407097);江苏省“六大人才高峰”计划第12批资助项目(2015-ZNDW-009)

Restraining Strategy of Photovoltaic Power Fluctuation Based on Energy Storage Battery

ZHANG Zhuyao, XIAO Xin, GUO Xiaoli, JIANG Yahai, GU Lei, CHEN Weifeng   

  1. School of Electrical Engineering, Nantong University, Nantong 226019, Jiangsu Province, China
  • Online:2016-08-01
  • Supported by:
    Project supported by National Natural Science Foundation of China (51407097)

摘要: 为了平抑光伏发电功率波动,并优化光伏出力特性,在运用小波包分解光伏波动频率特性的基础上,提出了基于2组电池组拓扑结构的电池储能系统(battery energy storage system ,BESS)在线运行策略和双BESS的最优容量确定方法。模型中2组BESS工作状态分别为充电和放电状态,当某一电池组电能状态达到满充或满放时,则2组电池同时切换当前的工作状态。基于光伏发电厂实测数据,对所提方案进行了验证,结果表明,所提方案不仅在光伏出力特性上取得了较好的平抑效果,而且在电池特性上,由于采用双BESS,很大程度上降低了BESS充放电次数,提高了储能系统利用效率。

关键词: 光伏发电, 光伏功率波动, 电池储能系统, 最优容量 , 光伏出力预测

Abstract: To restrain the photovoltaic (PV) power fluctuation and optimize the output characteristics of PV power, this paper proposes an on-line operation strategy for the battery energy storage system (BESS) based on 2 groups of battery topology and the optimal capacity determination method for double BESSs, based on the wavelet packet decomposition of PV power fluctuation frequency characteristics. In the model, 2 sets of BESS working states are charging and discharging states respectively. When any BESS arrives at their status of adequate charging or discharging, double BESSs switch their states at the same time. Based on the measured data of PV power plant, we verify the proposed scheme. The results show that the proposed scheme not only can have good restraining effect in PV power output characteristics, but also reduce battery charge and discharge times of BESS in the battery characteristics and improve the utilization efficiency of energy storage system because of using double BESSs.

Key words: photovoltaic power generation, photovoltaic power fluctuation, battery energy storage system, optimal capacity, photovoltaic power forecast

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