提升风电消纳区间的鲁棒机组组合

doi:10.19595/j.cnki.1000-6753.tces.161633

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摘要基于日前风电功率点预测的传统调度方法没有充分地考虑风电不确定性,难以有效挖掘电热联合系统的风电消纳能力。该文提出提升风电消纳区间的鲁棒机组组合优化方法。基于可用风电功率区间,构建有效的风电功率允许出力区间。基于仿射策略,考虑供热机组电热耦合等约束,建立鲁棒机组组合模型,优化风电消纳区间,对于风电消纳区间内任意可能的风电波动,该模型均能保障调度策略的可行性。所建模型可转换为混合整数线性规划进行求解。最后,在修改的IEEE 39节点系统上进行测试,并与传统调度方法对比,验证了所提方法的有效性。

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	吴巍
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	王跃峰

关键词 ：电热联合系统, 风电消纳区间, 仿射可调鲁棒优化, 混合整数线性规划

Abstract：Traditional dispatch methods based on day-ahead point forecast of wind power do not consider the uncertainty appropriately. As a result, the potential of accommodating wind power cannot be fully exploited. This paper proposes the robust unit commitment to improve the admissible region of wind power. The valid admissible region of wind generation is constructed based on the available wind generation interval. An affinely adjustable robust unit commitment model is constructed considering the electro-thermal coupling of the cogeneration systems. The proposed model seeks to maximize the admissible region and guarantees the feasibility within the admissible region. The proposed model can be transformed into the mixed integer linear programming. Finally,the proposed method is compared with the traditional dispatch method and validated using the modified IEEE 39-bus system. The simulation results verify the effectiveness of the proposed method.

Key words： Cogeneration system admissible region of wind power affinely adjustable robust optimization mixed integer linear programming

收稿日期: 2016-10-12 出版日期: 2018-02-26

PACS:

TM73

基金资助:国家科技支撑计划(2015BAA01B02)、国家自然科学基金(51307107,; 51477098)和国家电网公司科技项目资助

通讯作者: 汪可友男,1979年生,博士,副教授,研究方向为电力系统分析与控制、新能源的不确定性分析。E-mail：wangkeyou@sjtu.edu.cn

作者简介: 吴巍男,1990年生,博士研究生,研究方向为不确定环境下的电力系统优化运行。E-mail：buyiangel@sjtu.edu.cn

引用本文:

吴巍, 汪可友, 李国杰, 范刘洋, 王跃峰. 提升风电消纳区间的鲁棒机组组合[J]. 电工技术学报, 2018, 33(3): 523-532. Wu Wei, Wang Keyou, Li Guojie, Fan Liuyang, Wang Yuefeng. Robust Unit Commitment to Improve the Admissible Region of Wind Power. Transactions of China Electrotechnical Society, 2018, 33(3): 523-532.

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[1] 国家能源局. 2015年度全国可再生能源电力发展监测评价的通报[EB/OL].[2016-05-10]. http://zfxxgk. nea. gov. cn/auto87/201608/t20160823_ 2289. htm?keywords=
[2] 于东, 孙欣, 高丙团, 等. 考虑风电不确定出力的风电并网协调优化模型[J]. 电工技术学报, 2016, 31(9): 34-41.
Yu Dong, Sun Xin, Gao Bingtuan, et al.Coordinated optimization model for wind power integration considering wind power uncertainty output[J]. Transactions of China Electrotechnical Society, 2016, 31(9): 34-41.
[3] 张军, 许晓艳, 黄永宁, 等. 基于时序生产模拟仿真的宁夏电网风光优化配比研究[J]. 电力系统保护与控制, 2014, 42(19): 81-86.
Zhang Jun, Xu Xiaoyan, Huang Yongning, et al.Optimal proportion study of wind and PV capacity in Ningxia power grid based on time sequence simulation[J]. Power System Protection and Control, 2014, 42(19): 81-86.
[4] 卢鹏铭, 温步瀛, 江岳文. 基于多时间尺度协调机组组合的含风电系统旋转备用优化研究[J]. 电力系统保护与控制, 2015, 43(5): 94-100.
Lu Pengming, Wen Buying, Jiang Yuewen.Study on optimization of spinning reserve in wind power integrated power system based on multiple timescale and unit commitment coordination[J]. Power System Protection and Control, 2015, 43(5): 94-100.
[5] 杨佳俊, 雷宇, 龙淼, 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.
Yang Jiajun, Lei Yu, Long Miao, 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.
[6] 艾小猛, 韩杏宁, 文劲宇, 等. 考虑风电爬坡事件的鲁棒机组组合[J]. 电工技术学报, 2015, 30(24): 188-195.
Ai Xiaomeng, Han Xingning, Wen Jinyu, et al.Robust unit commitment considering wind power ramp events[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 188-195.
[7] 陈建华, 吴文传, 张伯明, 等. 消纳大规模风电的热电联产机组滚动调度策略[J]. 电力系统自动化, 2013, 36(24): 21-27.
Chen Jianhua, Wu Wenchuan, Zhang Boming, et al.A rolling generation dispatch strategy for co-generation units accommodating large-scale wind power integration[J]. Automation of Electric Power systems, 2013, 36(24): 21-27.
[8] 卢志刚, 隋玉珊, 冯涛, 等. 考虑储热装置与碳捕集设备的风电消纳低碳经济调度[J]. 电工技术学报, 2016, 31(17): 41-51.
Lu Zhigang, Sui Yushan, Feng Tao, et al.Wind power accommodation low-carbon economic dispatch considering heat accumulator and carbon capture devices[J]. Transactions of China Electrotechnical Society, 2016, 31(17): 41-51.
[9] Li Zhigang, Wu Wenchuan, Shahidehpour M, et al.Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2016, 7(1): 12-22.
[10] Wang Cheng, Liu Feng, Qiu Feng, et al.Robust unit commitment considering strategic wind generation curtailment[C]//2016 IEEE PES General Meeting Conference & Exposition, 2016: 1-5.
[11] Wang Cheng, Liu Feng, Wang Jianhui, et al.Robust risk-constrained unit commitment with large-scale wind generation: an adjustable uncertainty set approach[J]. IEEE Transactions on Power Systems, 2017, 32(1): 723-733.
[12] Ye Hongxing, Wang Jianhui, Ge Yinin, et al.Robust integration of high-level dispatchable renewables in power system operation[J]. IEEE Transactions on Sustainable Energy, 2016, DOI: 10.1109/TSTE. 2016.2621136.
[13] 国家能源局. 关于有序放开发用电计划的实施意见[EB/OL].[2016-07-20]. http://www.sdpc.gov.cn/gzdt/ 201511/ W020151130314768643254.pdf.
[14] Lorca Á, Sun X A, Litvinov E, et al.Multistage adaptive robust optimization for the unit commitment problem[J]. Operations Research, 2016, 64(1): 32-51.
[15] Zugno M, Morales J M, Madsen H.Commitment and dispatch of heat and power units via affinely adjustable robust optimization[J]. Computers & Operations Research, 2016, 75: 191-201.
[16] 贾文昭, 康重庆, 李丹, 等.基于日前风功率预测的风电消纳能力评估方法[J].电网技术, 2012, 36(8): 69-75.
Jia Wenzhao, Kang Chongqing, Li Dan, et al.Evaluation on capability of wind power accommodation based on its day-ahead forecasting[J]. Power System Technology, 2012, 36(8): 69-75.
[17] 李志刚, 吴文传, 张伯明.消纳大规模风电的鲁棒区间经济调度: (一)调度模式与数学模型[J].电力系统自动化, 2014, 38(20): 33-39.
Li Zhigang, Wu Wenchuan, Zhang Boming.A robust interval economic dispatch method accommodating large-scale wind power generation: part one dispatch scheme and mathematical model[J].Automation of Electric Power Systems, 2014, 38(20): 33-39.
[18] 杨明, 程凤璐, 韩学山, 等.电力系统实时调度的有效静态安全域法[J].中国电机工程学报, 2015, 35(6): 1353-1362.
Yang Ming, Cheng Fenglu, Han Xueshan, et al.Real-time dispatch based on effective steady-state security regions of power system[J]. Proceedings of the CSEE, 2015, 35(6): 1353-1362.
[19] Jiang Ruiwei, Wang Jianhui, Guan Yongpei.Robust unit commitment with wind power and pumped storage hydro[J]. IEEE Transactions on Power Systems, 2012, 27(2): 800-810.
[20] 崔杨, 陈志, 严干贵, 等. 基于含储热热电联产机组与电锅炉的弃风消纳协调调度模型[J]. 中国电机工程学报, 2016, 36(15): 4072-4081.
Cui Yang, Chen Zhi, Yan Gangui, et al.Coordinated wind power accommodating dispatch model based on electric boiler and CHP with thermal energy storage[J]. Proceedings of the CSEE, 2016, 36(15): 4072-4081.
[21] 陈磊, 徐飞, 王晓, 等. 储热提升风电消纳能力的实施方式及效果分析[J]. 中国电机工程学报, 2015, 35(17): 4283-4290.
Chen Lei, Xu Fei, Wang Xiao, et al.Implementation and effect of thermal storage in improving wind power accommodation[J]. Proceedings of the CSEE, 2015, 35(17): 4283-4290.
[22] Ben-Tal A, Nemirovski A.Robust solutions of linear programming problems contaminated with uncertain data[J]. Mathematical Programming, 2000, 88(3): 411-424.
[23] Soyster A L.Convex programming with set-inclusive constraints and applications to inexact linear programming[J].Operation Research, 1973, 21(5):1154-1157.
[24] Zhou Boran, Geng Guangchao, Jiang Quanyuan.Hierarchical unit commitment with uncertain wind power generation[J]. IEEE Transactions on Power Systems, 2016, 31(1): 94-104.
[25] 覃华, 韦化. 大规模机组组合问题的量子近似动态规划[J]. 中国电机工程学报, 2015, 35(19): 4918-4929.
Qin Hua, Wei Hua.A quantum-inspired approximate dynamic programming algorithm for large-scale unit commitment problems[J]. Proceedings of the CSEE, 2015, 35(19): 4918-4929.
[26] Gurobi optimization incorporated. Gurobi optimizer [EB/OL].[2016-04-15]. http://www.gurobi.com/.
[27] Wind dataset[DB/OL]. Washington: National Renewable Energy Laboratory[2016-04-15]. http://www. nrel.gov/ electricity/.
[28] Zhang Ning, Kang Chongqing, Xia Qing, et al.Modeling conditional forecast error for wind power in generation scheduling[J]. IEEE Transactions on Power Systems, 2014, 29(3): 1316-1324.
[29] Zhang Ning, Lu Xi, McElroy M B, et al. Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage[J]. Applied Energy, 2015, DOI: 10.1016/j. apenergy.2015.10.147.
[30] 葛延峰, 礼晓飞, 戈阳阳, 等.基于热电联合调度的弃风电储热供热技术方案[J].智能电网, 2015, 3(10): 901-905.
Ge Yanfeng, Li Xiaofei, Ge Yangyang, et al.Technical plan for electric heat storage and heating by wind energy curtailment based on joint dispatching of heat and electricity[J]. Smart Grid, 2015, 3(10): 901-905.
[31] A MATLAB power system simulation package [EB/OL]. [2016-12-30]. http://www.pserc.cornell.edu/matpower/.