高载能负荷提高风电就地消纳的需求响应模式研究Research on Demand Response Mechanism of Wind Power Local Accommodation Utilizing Energy-Intensive Loads
王健;鲁宗相;乔颖;陈钊;
摘要(Abstract):
弃风问题严重制约了我国风电的进一步发展,而高载能负荷具有一定的负荷平移和调节能力,可作为需求响应资源,参与消纳弃风。基于我国电网和高载能产业实情,提出了基于负荷平移和高载能负荷自备电厂出力调节的风电与高载能负荷联合运行机制,建立了含有可平移负荷和自备电厂出力调节等需求响应方法的机组组合模型,并分析了自备电厂可调容量和可平移负荷大小等关键因素对于其发挥效能的影响。最后,通过算例分析验证了该需求响应机制在促进风电就地消纳方面的有效性。
关键词(KeyWords): 弃风;高载能负荷;需求响应;就地消纳
基金项目(Foundation): 国家自然科学基金项目(51677099);; 国家电网公司科技项目(522727160002)~~
作者(Author): 王健;鲁宗相;乔颖;陈钊;
Email:
DOI: 10.13335/j.1000-3673.pst.2016.2467
参考文献(References):
- [1]中国国家能源局.2015年风电产业监测情况[EB/OL].2016-02-02[2016-03-02].http://www.nea.gov.cn/2016-02/02/c_135066586.htm.
- [2]吕泉,王伟,韩水,等.基于调峰能力分析的电网弃风情况评估方法[J].电网技术,2013,37(7):1887-1894.LüQuan,Wang Wei,Han Shui,et al.A new evaluation method for wind power curtailment based on analysis of system regulation capability[J].Power System Technology,2013,37(7):1887-1894(in Chinese).
- [3]Burke D J,Malley M J O.Factors influencing wind energy curtailment[J].IEEE Transactions on Sustainable Energy,2011,2(2):185-193.
- [4]邹金,赖旭,汪宁渤.以减少电网弃风为目标的风电与抽水蓄能协调运行[J].电网技术,2015,39(9):2472-2477.Zou Jin,Lai Xu,Wang Ningbo.Mitigation of wind curtailment by coordinating with pumped storage[J].Power System Technology,2015,39(9):2472-2477(in Chinese).
- [5]肖白,丛晶,高晓峰,等.风电-抽水蓄能联合系统综合效益评价方法[J].电网技术,2014,38(2):400-404.Xiao Bai,Cong Jing,Gao Xiaofeng,et al.A method to evaluate comprehensive benefits of hybrid wind power-pumped storage system[J].Power System Technology,2014,38(2):400-404(in Chinese).
- [6]胡泽春,丁华杰,孔涛.风电-抽水蓄能联合日运行优化调度模型[J].电力系统自动化,2012,36(2):36-41.Hu Zechun,Ding Huajie,Kong Tao.A joint daily operational optimization model for wind power and pumped storage plant[J].Automation of Electric Power Systems,2012,36(2):36-41(in Chinese).
- [7]王彩霞,李琼慧,谢国辉.风电供热提高低谷风电消纳能力评估[J].中国电力,2013,46(12):100-106.Wang Caixia,Li Qionghui,Xie Guohui.Evaluation of wind power heating in facilitating wind power integration capability during valley load period[J].Electric Power,2013,46(12):100-106(in Chinese).
- [8]宋艺航,谭忠富,李欢欢,等.促进风电消纳的发电侧、储能及需求侧联合优化模型[J].电网技术,2014,38(3):610-615.Song Yihang,Tan Zhongfu,Li Huanhuan,et al.An optimization model combining generation side and energy storage system with demand side to promote accommodation of wind power[J].Power System Technology,2014,38(3):610-615(in Chinese).
- [9]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).
- [10]鞠立伟,秦超,吴鸿亮,等.计及多类型需求响应的风电消纳随机优化调度模型[J].电网技术,2015,39(7):1839-1846.Ju Liwei,Qin Chao,Wu Hongliang,et al.Wind power accommodation stochastic optimization model with multi-type demand response[J].Power System Technology,2015,39(7):1839-1846(in Chinese).
- [11]Drovtar I,Uuemaa P,Rosin A,et al.Using demand side management in energy-intensive industries for providing balancing power-The Estonian case study[C]//2013 IEEE Power&Energy Society General Meeting.Vancouver,BC:IEEE,2013:1-5.
- [12]Hu Z,Duan B,Xu Y,et al.Demand response optimization of power generation and consumption in energy intensive enterprise[C]//2015IEEE Innovative Smart Grid Technologies-Asia(ISGT ASIA).Bangkok:IEEE,2015:1-6.
- [13]何桂雄,曹年林,蒋利民,等.风电富裕区域高载能负荷参与电网调峰研究[J].可再生能源,2015,33(4):491-496.He Guixiong,Cao Nianlin,Jiang Limin,et al.Research on peak-load regulating with participation of high-use industrial consumers in wind power rich area[J].Renewable Energy Resources,2015,33(4):491-496(in Chinese).
- [14]刘文颖,文晶,谢昶,等.考虑风电消纳的电力系统源荷协调多目标优化方法[J].中国电机工程学报,2015,35(5):1079-1088.Liu Wenying,Wen Jing,Xie Chang,et al.Multi-objective optimal method considering wind power accommodation based on source-load coordination[J].Proceedings of the CSEE,2015,35(5):1079-1088(in Chinese).
- [15]崔强,王秀丽,王维洲.考虑风电消纳能力的高载能用户错峰峰谷电价研究[J].电网技术,2015,39(4):946-952.Cui Qiang,Wang Xiuli,Wang Weizhou.Stagger peak electricity price for heavy energy-consuming enterprises considering improvement of wind power accommodation[J].Power System Technology,2015,39(4):946-952(in Chinese).
- [16]胡殿刚,齐晓琳,李韶瑜,等.考虑最优风电投标量的高载能用户电价决策模型[J].电网技术,2016,40(8):2265-2272.Hu Diangang,Qi Xiaolin,Li Shaoyu,et al.Price decision model of high-load users considering optimal wind bidding strategy[J].Power System Technology,2016,40(8):2265-2272(in Chinese).
- [17]陈润泽,孙宏斌,晋宏杨.高载能企业参与电力系统调度的模式与效益分析[J].电力系统自动化,2015,39(17):168-175.Chen Runze,Sun Hongbin,Jin Hongyang.Pattern and benefit analysis of energy-intensive enterprises participating in power system dispatch[J].Automation of Electric Power Systems,2015,39(17):168-175(in Chinese).
- [18]Kazarlis S A,Bakirtzis A G,Petridis V.A genetic algorithm solution to the unit commitment problem[J].IEEE Transactions on Power Systems,1996,11(1):83-92.
- [19]张勇.基于实际电网的在线统计综合法建模研究[D].重庆:重庆大学,2010.