文章摘要
马伟,王玮,吴学智,等.平抑光伏并网功率波动的混合储能系统优化调度策略[J].电力系统自动化,2019,43(3):58-66. DOI: 10.7500/AEPS20180213006.
MA Wei,WANG Wei,WU Xuezhi, et al.Optimal Dispatching Strategy of Hybrid Energy Storage System for Smoothing Power Fluctuation Caused by Grid-connected Photovoltaic[J].Automation of Electric Power Systems,2019,43(3):58-66. DOI: 10.7500/AEPS20180213006.
平抑光伏并网功率波动的混合储能系统优化调度策略
Optimal Dispatching Strategy of Hybrid Energy Storage System for Smoothing Power Fluctuation Caused by Grid-connected Photovoltaic
DOI:10.7500/AEPS20180213006
关键词: 光伏  功率波动  光伏限功率  最大功率点跟踪  混合储能系统  优化调度  储能寿命
KeyWords: photovoltaic (PV)  power fluctuation  photovoltaic output power curtailment  maximum power point tracking (MPPT)  hybrid energy storage system (HESS)  optimal dispatching  lifetime of energy storage
上网日期:2018-10-16
基金项目:国家重点研发计划资助项目(2016YFB0900505)
作者单位E-mail
马伟 北京交通大学国家能源主动配电网技术研发中心, 北京市 100044 16117385@bjtu.edu.cn 
王玮 北京交通大学国家能源主动配电网技术研发中心, 北京市 100044
北京电动车辆协同创新中心, 北京市 100044 
 
吴学智 北京交通大学国家能源主动配电网技术研发中心, 北京市 100044
北京电动车辆协同创新中心, 北京市 100044 
 
胡若男 北京交通大学国家能源主动配电网技术研发中心, 北京市 100044  
燕立强 国网江苏省电力有限公司徐州供电分公司, 江苏省徐州市 221600  
摘要:
      提出了一种光伏(PV)的最大功率跟踪工作点控制和混合储能系统(HESS)协调平抑光伏并网功率波动策略,通过PV和HESS间的密切配合,能有效将PV并网功率波动抑制在电网可接受范围内。采用了多目标非线性约束模型对HESS中电池和超级电容的充放电功率进行优化调度,调度过程中充分考虑了HESS的寿命、偏离校正以及充放电效率;给出了基于滑动平均算法的PV的最大功率跟踪工作点动态控制方法。此外,采用K均值聚类算法构建了3种典型的PV功率波动场景,对所提策略和利用HESS平抑PV功率波动的传统策略进行了对比分析,结果表明:所提策略既能取得良好的平抑PV功率波动效果,还能降低HESS的运行损耗、延长其使用寿命。
Abstract:
      A coordinated control strategy is proposed for smoothing power fluctuation of grid-connected photovoltaic (PV) plant, including the operating point control of maximum power point tracking (MPPT) of PV’s and charging/discharging power control of hybrid energy storage system (HESS). The proposed strategy could effectively smooth PV power fluctuations within the acceptable range of the utility grid with the close cooperation between PV and HESS. Multi-objective nonlinear constraint model is adopted to optimize the charging/discharging power of the battery and supercapacitor. During the dispatching process, the lifetime of HESS, state of charge (SOC) deviation of HESS and the discharge efficiency are fully considered. Moreover, the moving average algorithm is utilized to dynamically control the operation point of the MPPT of PV. Besides, three typical scenarios of PV power fluctuations are established by using K-means clustering algorithm. Also, several comparisons are made between the proposed strategy and the conventional strategy which also uses HESS to smooth power fluctuations. Simulation results demonstrate that the proposed approach could not only achieve a significant effect of smoothing the PV power fluctuations, but also reduce the operation loss of HESS and prolong the lifetime of HESS.
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