崔杨;朱加明;葛延峰;严干贵;

• 1:东北电力大学电气工程学院
• 2:国网辽宁省电力有限公司

摘要(Abstract)：

我国风电呈现"大风电、高渗透"的发展态势,随着风电的大规模开发,既有电网调节能力渐显不足,风电与电网的矛盾急剧升级,导致大面积弃风甚至危及电网安全。利用储能系统可以实现能量的时空平移,从而达到减少弃风、提高电网及风电运行安全性和经济性的效果。首先基于风电场实测限风功率进行限风特性分析,在此基础上制定了储能系统多场景调控的场景划分原则;然后提出一种计及限风特性与经济性的大规模集中充放电的储能系统容量配置方法,该方法综合考虑了限风时段的差异性、限风功率的分布特征以及储能系统的电量效益、环境效益、投资成本和维护费用等因素;最后通过算例分析表明,考虑限风特性的多场景调控策略比单一调控策略的综合收益更优,进而验证了所提方法的可行性。

关键词(KeyWords)： 储能系统;限风特性;集中充放电;多场景调控;综合收益

Abstract:

Keywords:

基金项目(Foundation): 国家重点基础研究发展计划项目(973项目)(2013CB228201);; 国家自然科学基金项目(51207018);; 国家电网公司科技项目(SGLNSY00FZJS1500191)~~

作者(Author): 崔杨;朱加明;葛延峰;严干贵;

Email:

DOI: 10.13335/j.1000-3673.pst.2016.02.022

参考文献(References)：

• [1]Peng Jian,Wang Fei,Hong Cui,et al.Wind power forecasting based on OLS-SFLA-RBF neural network[J].Power System and Clean Energy,2013,29(9):62-67.
• [2]杨明,朱思萌,韩学山,等.风电场输出功率的多时段联合概率密度预测[J].电力系统自动化,2013,37(10):23-28.Yang Ming,Zhu Simeng,Han Xueshan,et al.Joint probability density forecast for wind farm output in multi-time-interval[J].Automation of Electric Power Systems,2013,37(10):23-28(in Chinese).
• [3]丁华杰,宋永华,胡泽春,等.基于风电场功率特性的日前风电预测误差概率分布研究[J].中国电机工程学报,2013,33(34):136-144.Ding Huajie,Song Yonghua,Hu Zechun,et al.Probability density function of day-ahead wind power forecast errors based on power curves of wind farms[J].Proceedings of the CSEE,2013,33(34):136-144(in Chinese).
• [4]麻常辉,冯江霞,蒋哲,等.基于时间序列和神经网络法的风电功率预测[J].山东大学学报,2013,44(1):85-89.Ma Changhui,Feng Jiangxia,Jiang Zhe,et al.Wind power prediction based on time-series and BP-ANN[J].Journal of Shandong University,2013,44(1):85-89(in Chinese).
• [5]李玲玲,许亚惠,田晓越,等.基于组合模型的风电功率短期预测[J].电工技术学报,2014,29(1):475-480.Li Lingling,Xu Yahui,Tian Xiaoyue,et al.Based on the combined model of short-term wind power prediction[J].Transactions of Electrotechnical Society,2014,29(1):475-480(in Chinese).
• [6]Mu Gang,Cui Yang,Liu Jia,et al.Source-grid coordinated dispatch method for transmission constrained grid with surplus wind generators[J].Automation of Electric Power Systems,2013,37(6):24-29.
• [7]Wu Q H,Zheng J H,Jing Z X.Coordinated scheduling of energy resources for distributed DHCs in an integrated energy grid[J].CSEE Journal of Power and Energy Systems,2015,1(1):95-103.
• [8]崔杨,张超,穆钢,等.基于能耗费用评估的电网最优风电接纳功率分析[J].电网技术,2014,38(8):2174-2179.Cui Yang,Zhang Chao,Mu Gang,et al.Analysis on power grids optimal accommodation of wind power based on energy cost assessment[J].Power System Technology,2014,38(8):2174-2179(in Chinese).
• [9]Lu Z X,Ye X,Qiao Y,et al.Initial exploration of wind farm cluster hierarchical coordinated dispatch based on virtual power generator concept[J].CSEE Journal of Power and Energy Systems,2015,1(2):62-67.
• [10]袁小明,程时杰,文劲宇.储能技术在解决大规模风电并网问题中的应用前景分析[J].电力系统自动化,2013,37(1):14-18.Yuan Xiaoming,Cheng Shijie,Wen Jinyu.Prospects analysis of energy storage application in grid integration of large-scale wind power[J].Automation of Electric Power Systems,2013,37(1):14-18(in Chinese).
• [11]严干贵,刘嘉,崔杨,等.利用储能提高风电调度入网规模的经济性评价[J].中国电机工程学报,2013,33(22):45-52.Yan Gangui,Liu Jia,Cui Yang,et al.Economic evaluation of improving the wind power scheduling scale by energy storage system[J].Proceedings of the CSEE,2013,33(22):45-52(in Chinese).
• [12]马速良,马会萌,蒋小平,等.基于Bloch球面的量子遗传算法的混合储能系统容量配置[J].中国电机工程学报,2015,35(3):592-599.Ma Suliang,Ma Huimeng,Jiang Xiaoping,et al.Capacity configuration of the hybrid energy storage system based on Bloch spherical quantum genetic algorithm[J].Proceedings of the CSEE,2015,35(3):592-599(in Chinese).
• [13]房旭雪,叶林,赵永宁,等.平抑风电功率波动的储能容量经济配置方法[J].电网与清洁能源,2013,29(12):101-106.Fang Xuxue,Ye Lin,Zhao Yongning,et al.The economic allocation method of energy storage capacity for smoothing wind power fluctuations[J].Power System and Clean Energy,2013,29(12):101-106(in Chinese).
• [14]Shan Maohua,Li Chenlong,Liang Tingting,et al.A real-time optimal control strategy for battery energy storage system to smooth active output fluctuation of renewable energy sources[J].Power System Technology,2014,38(2):469-477.
• [15]丁明,吴建锋,朱承治,等.具备荷电状态调节功能的储能系统实时平滑控制策略[J].中国电机工程学报,2013,33(1):22-29.Ding Ming,Wu Jianfeng,Zhu Chengzhi,et al.A real-time smoothing control strategy with SOC adjustment function of storage systems[J].Proceedings of the CSEE,2013,33(1):22-29(in Chinese).
• [16]杨霖霖,廖文俊,苏青,等.全钒液流电池技术发展现状[J].储能科学与技术,2013,2(2):140-145.Yang Linlin,Liao Wenjun,Su Qing,et al.The research&development status of vanadium redox flow battery[J].Energy Storage Science and Technology,2013,2(2):140-145(in Chinese).
• [17]Zhao Haoran,Wu Qiuwei,Hu Shuju,et al.Review of energy storage system for wind power integration support[J].Applied Energy,2015,137(1):545-553.