Research on the Model and Influences of Power Grid’s Ability of Admitting Wind Power

doi:10.11985/2016.07.001

Abstract

Abstract:

The specificity of wind power and lack of peak regulation led to the problem of abandoned wind, Reasonable dispatch and ameliorate the power structure is an effective way to solve the problem of wind power’s acceptance. The paper established the unit commitment contains traditional thermalpower and hydropower power, wind power, energy storage system (ESS), and delivery channels, thermal power generation cost and abandoned wind penalty costs are included in the objective function, considering the variety of operationalconstraints, to get the optimization taking into account the cost of power generation and acceptance of wind power. Based on an actual provincial power grid, discussed influences of wind power’s the annual electricity with decoupling the constraint of “power determined by heat” , energy storage system, delivery channels and flexible generating units, the results show that decoupling the constraint of “power determined by heat” , energy storage system, delivery channels and flexible generating units can all improve power grid’s ability of admitting wind power.

Key words: The ability of admitting wind power, annual planning, power determined by heat, energy storage system, delivery channels, flexible generating units

CLC Number:

TM73

Ming Ding,Xinyu Liu,Qianlong Zhu,Wenhui Shi. Research on the Model and Influences of Power Grid’s Ability of Admitting Wind Power[J]. Journal of Electrical Engineering, 2016, 11(7): 1-8.

Figures/Tables 12

Tab.1

Tab.2

Fig.1

Fig.2

Tab.3

Fig.3

Fig.4

Tab.4

Tab.5

Tab.6

Tab.7

Fig.5

References 27

[1]	徐飞, 闵勇, 陈磊 , 等. 包含大容量储热的电-热联合系统[J]. 中国电机工程学报, 2014,34(29):63-72.
	Xu Fei, Min Yong, Chen Lei , et al. Combined electricity-heat operation system containing large capacity thermal energy storage[J]. Proceedings of the CSEE, 2014,34(29):63-72.
[2]	张宏宇 . 考虑调峰因素的风电规划研究[D]. 北京:中国电力科学研究院, 2013.
[3]	刘德伟, 黄越辉, 王伟胜 , 等. 考虑调峰和电网输送约束的省级系统风电消纳能力分析[J]. 电力系统自动化, 2011,35(22):77-81.
	Liu Dewei, Huang Yuehui, Wang Weisheng , et al. Analysis on provincial system available capability of accommodating wind power considering peak load dispatch and transmission constraints[J]. Automation of Electric Power Systems, 2011,35(22):77-81.
[4]	刘存, 曹阳, 袁岳 , 等. 基于时序仿真的风电年度计划制定方法[J]. 电力系统自动化, 2014,38(11):13-19. doi: 10.7500/AEPS20130703002
	Liu Chun, Cao Yang, Yuan Yue , et al. An annual wind power planning method based on time sequential simulations[J]. Automation of Electric Power Systems, 2014,38(11):13-19. doi: 10.7500/AEPS20130703002
[5]	屠强 . 风电功率预测技术的应用现状及运行建议[J]. 电网与清洁能源, 2009,25(10):4-9.
	Tu Qiang . Existing applications of wind power forecasting technology and relevant suggestions[J]. Power System and Clean Energy, 2009,25(10):4-9.
[6]	王海超, 鲁宗相, 周双喜 . 风电场发电容量可信度研究[J]. 中国电机工程学报, 2005,25(10):103-106.
	Wang Haichao, Lu Zongxiang, Zhou Shuangxi . Research on the capacity credit of wind energy resources[J]. Proceedings of the CSEE, 2005,25(10):103-106.
[7]	Bechrakis D A, Deane J P, Mckeogh E J . Wind resource assessment of an area using short term data correlated to a long term data set[J]. Solar Energy, 2004,76(6):725-732. doi: 10.1016/j.solener.2004.01.004
[8]	Wiik J, Gjerde J O, Gjengedal T , et al. Steady state power system issues when planning large wind farms[C]. IEEE Power Engineering Society Winter Meeting, New York, 2002.
[9]	衣立东, 朱敏奕, 魏磊 , 等. 风电并网后西北电网调峰能力的计算方法[J]. 电网技术, 2010,34(2):129-132.
	Yi Lidong, Zhu Yimin, Wei Lei , et al. A computing method for peak load regulation ability of northwest China power grid connected with large-scale wind farms[J]. Power System Technology, 2010,34(2):129-132.
[10]	周玮, 彭昱, 孙辉 , 等. 含风电场的电力系统动态经济调度[J]. 中国电机工程学报, 2009,29(25):13-18.
	Zhou Wei, Peng Yu, Sun Hui , et al. Dynamic economic dispatch in wind power integrated system[J]. Proceedings of the CSEE, 2009,29(25):13-18.
[11]	Ruiz P A, Philbrick C R, Sauer P W. Wind power day-ahead uncertainty management through stochastic unit commitment policies[C]. Power Systems Conference and Exposition, 2009, IEEE/PES 15-18, 2009: 1-9.
[12]	Chen Chunlung . Optimal wind-thermal generating unit commitment[J]. IEEE Transactions on Energy Conversion, 2008,23(1):273-280. doi: 10.1016/j.dib.2018.03.015 pmid: 29896502
[13]	王彩霞, 乔颖, 鲁宗相 , 等. 低碳经济下风火互济系统日前发电计划模式分析[J]. 电力系统自动化, 2011,35(22):111-117.
	Wang Caixia, Qiao Ying, Lu Zongxiang , et al. Day-ahead dispatch model forwind-thermal power system in low-carbon economy[J]. Automation of Electric Power Systems, 2011,35(22):111-117.
[14]	吴雄, 王秀丽, 李骏 , 等. 考虑风电外送的省级系统调峰分析模型[J]. 电网技术, 2013,37(6), 1578-1583.
	Wu Xiong, Wang Xiuli, Li Jun , et al. A model to analyze peak load regulation of provincial power system considering sending-out of wind power[J]. Power System Technology, 2013,37(6):1578-1583.
[15]	丁明, 徐宁舟, 毕锐 . 用于平抑可再生能源功率波动的储能电站建模及评价[J]. 电力系统自动化, 2011,35(2):66-72.
	Ding Ming, Xu Ningzhou, Bi Rui . Modeling of BESS for smoothing renewable energy output fluctuations[J]. Automation of Electric Power Systems, 2011,35(2):66-72.
[16]	谢毓广, 江晓东 . 储能系统对含风电的机组组合问题影响分析[J]. 电力系统自动化, 2011,35(5):19-24.
	Xie Yuguang, Jiang Xiaodong . Impact of energy storage system on the unit commitment problem with volatile wind power[J]. Automation of Electric Power Systems, 2011,35(5):19-24.
[17]	罗玲, 龚建原, 陈宁 , 等. 含储能系统和大型风电场并网电力系统机组组合研究[J]. 广东电力, 2013,26(9):61-84.
	Luo Ling, Gong Jianyuan, Chen Ning , et al. Study on unit combination of synchronized power system containing energy storage system and large-scaled wind farm[J]. Guang Dong Electric Power, 2013,26(9):61-84.
[18]	丁明, 包敏, 吴宏斌 , 等. 复合能源分布式发电系统的机组组合问题[J]. 电力系统自动化, 2008,32(6):46-50.
	Ding Ming, Bao Min, Wu Hongbin , et al. Unit commitment problem in distributed generation system with multiple energy sources[J]. Automation of Electric Power Systems, 2008,32(6):46-50.
[19]	吕泉, 陈天佑, 吕阳 , 等. 热电厂参与风电调峰的方法评述及展望[J]. 中国电力, 2013,46(11):129-141.
	Lv Quan, Chen Tianyou, Lü Yang , et al. Review and perspective of integrating wind power into CHP power system for peak regulation[J]. Electric Power, 2013,46(11):129-141.
[20]	吕泉, 陈天佑, 李玲 , 等. 含储热的电力系统电热综合调度模型[J]. 电力自动化设备, 2014,34(5):79-85.
	Lü Quan, Chen Tianyou, Li Ling , et al. Combined heat and power dispatch model for power system with heat accumulator[J]. Electric Power Automation Equipment, 2014,34(5):79-85.
[21]	卢山, 董青, 李萌 , 等. 天然气电厂的综合效益及评估[J]. 电力系统及其自动化学报, 2015,27(4):7-12.
	Lu Shan, Dong Qing, Li Meng , et al. Comprehensive benefits of gas power plants and its evaluation[J]. Proceedings of the CSU-EPSA, 2015, 27(4):7-12.
[22]	丁晓莺, 刘林, 王锡凡 , 等. 考虑灵活运行机组的随机机组组合模型[J]. 电力系统自动化, 2009,33(18):23-27.
	Ding Xiaoying, Liu Lin, Wang Xifan , et al. Stochastic unit commitment method with flexible generating units[J]. Automation of Electric Power Systems, 2009,33(18):23-27.
[23]	高红均, 刘俊勇, 黄山 , 等. 基于极限场景集的风电机组安全调度决策模型[J]. 电网技术, 2013,37(6):90-95.
	Gao Hongjun, Liu Junyong, Huang Shan , et al. A security-constrainted dispatching model for wind generation units based on extreme scenario set optimization[J]. Power System Technology, 2013,37(6):90-95.
[24]	杨佳俊, 雷宇, 陈红 , 等. 考虑风电和负荷不确定性的机组组合研究[J]. 电力系统保护与控制, 2014,42(3):63-70. doi: 10.7667/j.issn.1674-3415.2014.03.010
	Yang Jiajun, Lei Yu, Chen Hong , et al. Study of unit commitment considering the uncertainty of wind farm and load[J]. Power System Protection and Control, 2014,42(3):63-70. doi: 10.7667/j.issn.1674-3415.2014.03.010
[25]	邓俊, 韦华, 黎静华 , 等. 一种含四类0-1变量的机组组合混合整数线性规划模型[J]. 中国电机工程学报, 2015,35(11):70-78.
	Deng Jun, Wei Hua, Li Jinghua , et al. A mixed-integer linear programming model using four sets of binary variables for the unit commitment problem[J]. Proceedings of the CSEE, 2015,35(11):70-78.
[26]	刘纯, 吕振华, 马烁 , 等. 长时间尺度风电出力时间序列建模新方法研究[J]. 电力系统保护与控制, 2013,41(1):7-13. doi: 10.7667/j.issn.1674-3415.2013.01.002
	Liu Chun, Lü Zhenhua, Ma Shuo , et al. A new method to simulate wind power time series of large time scale[J]. Power System Protection and Control, 2013,41(1):7-13. doi: 10.7667/j.issn.1674-3415.2013.01.002
[27]	丁明, 张立军, 吴义纯 . 基于时间序列分析的风电场风速预测模型[J]. 电力自动化设备, 2005,25(8):32-34.
	Ding Ming, Zhang Lijun, Wu Yichun . Wind speed forecast model for wind farms based on time series analysis[J]. Electric Power Automation Equipment, 2005,25(8):32-34.

机组类型	装机比重(%)	平均调峰能力(%)
机组类型	装机比重(%)	供热期	非供热期
凝汽式火电机组	18.5	40	40
抽汽式火电机组	55.5	15	40
库容式水电机组	3	100	100
风电机组	23	0	0

惩罚系数 /（￥/MW·h）	风电接纳量 /(MW·h)	弃风量 /(MW·h)	运行费用 /￥	火电机组起停次数
500	12 551 308	3 831 039	829 776 838	1 255
1 000	12 553 074	3 829 273	829 826 808	1 263
3 000	12 553 835	3 828 512	829 806 969	1 271
5 000	12 554 107	3 828 240	829 827 216	1 250
10 000	12 554 107	3 828 240	829 947 841	1 266
100 000	12 554 203	3 828 144	830 060 929	2 304
只考虑风电接纳	12 554 217	3 828 130	880 690 912	9 495
只考虑经济性	12 537 054	3 845 293	829 757 802	1 145

参数	数值
风电接纳电量/(MW·h)	12 554 107
弃风率(%)	23.37
风电限电小时数/h	3 223
风电利用小时数/h	1 499
平均并网功率/MW	1 432
供热期限电小时占比(%)	96.9
非供热期限电小时占比(%)	3.1
供热期限电量占比(%)	99.5
非供热期限电量占比(%)	0.5

外送功率 /MW	风电接纳电量 /(MW·h)	弃风率 (%)	运行费用 /￥	起停次数
0	12 554 107	23.37	829 827 216	1 250
500	13 800 505	15.76	864 942 351	1 300
1 000	14 791 669	9.7	902 680 737	1 370
1 500	15 502 890	5.37	943 170 983	1 416

供热机组平均调峰能力(%)	风电接纳电量/(MW·h)	弃风率(%)
15	12 554 107	23.37
20	13 324 188	18.67
25	13 906 539	15.11
30	14 244 877	13.05
35	14 505 343	11.45