| 基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略 |
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| 引用本文： | 陈跃燕,李相俊,韩晓娟,梁廷婷,惠东.基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略[J].电力建设,2013,34(7):1-5. |
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| 作者姓名： | 陈跃燕 李相俊 韩晓娟 梁廷婷 惠东 |
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| 作者单位： | 1.华北电力大学控制与计算机工程学院，北京市 102206；2.中国电力科学研究院，北京市100192； 3.国网新源张家口风光储电站示范电站有限公司，河北省张家口市 075000 |
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| 基金项目： | 国家自然科学基金青年科学基金项目，国家科技支撑计划项目，国家电网公司科技项目 |
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| 摘 要： | 利用电池储能系统平滑风电功率波动可以提高风力发电功率输出的稳定性。针对风电出力的间歇性和波动性，基于移动平均算法，在同时考虑储能系统的荷电状态（state of charge，SOC）和风电功率波动率的情况下提出了一种平滑风电功率控制策略，并与传统一阶低通滤波平滑风电功率方法进行对比。通过Matlab/Simulink仿真验证了该方法的有效性,在平滑风电并网功率的同时可以有效减少储能使用次数与储能能量。
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| 关 键 词： | 可再生能源 储能系统 移动平均算法 平滑风电功率 风电波动率 荷电状态（SOC） |
Control Strategy of Smoothing Wind Power Output Using Battery Energy Storage Based on Moving Average Method and Wind Power Volatility Rate Constraint |
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| CHEN Yueyan
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LI Xiangjun
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HAN Xiaojuan
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LIANG Tingting
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HUI Dong.Control Strategy of Smoothing Wind Power Output Using Battery Energy Storage Based on Moving Average Method and Wind Power Volatility Rate Constraint[J].Electric Power Construction,2013,34(7):1-5. |
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| Authors: | CHEN Yueyan LI Xiangjun HAN Xiaojuan LIANG Tingting HUI Dong |
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| Affiliation: | 1. School of Control and Conputer Engineering, North China Electric Power University, Beijing 102206, China; 2. China Electric Power Research Institute, Beijing 100192, China; 3. Zhangjiakou Wind and Solar Power Energy Demonstration Station Co., Ltd., State Grid Xinyuan Co., Zhangjiakou 075000, Hebei Province, China |
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| Abstract: | Using battery energy storage system (BESS) to smooth wind power volatility can improve the stability of wind power output. According to the intermittence and volatility of wind power output, a smoothing control strategy by using moving average algorithm for wind power was proposed, which took the state of charge (SOC) in energy storage system and wind power volatility rates into account. It was compared with the traditional first-order low-pass method for smoothing wind power output. The effectiveness of the proposed control strategy was verified with the MATLAB/SIMULINK simulation, whose results have shown that it can smooth the wind power output, and can effectively decrease the battery energy usage and storage energy. |
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| Keywords: | renewable energy energy storage system moving average algorithm smoothing wind power wind power volatility rate state of charge (SOC) |
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