考虑风电爬坡事件的鲁棒机组组合

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Abstract Wind power has the characteristics of volatility and uncertainty due to its large ramp events and difficulty of accurate prediction, which brings new challenges to power system operation. To cope with ramp event, this paper proposes an exact linearization unit commitment model with constraints of wind power ramp event. Wind power is described by its predicted values as well as the upper and lower limits of its interval prediction to solve the inaccurate prediction. Thus, this stochastic problem can be converted into a deterministic problem by linear robust optimization theory. Case studies are carried out based on a 10-machine 39-bus system with wind farms integration. Simulations show that, the constraints of large wind power ramp event should be considered to guarantee the security of power system, although the constraints of small wind power ramp event have no effect on unit commitment. In addition, since it is linear mixed integer programming, the proposed unit commitment model can be used in practical large-scale systems.

Key words： Ramp event prediction error unit commitment robust optimization wind power

Received: 25 August 2014 Published: 30 December 2015

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TM614

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	Articles by authors
	Ai Xiaomeng
	Han Xingning
	Wen Jinyu
	Yao Wei
	Luo Weihua

Cite this article:

Ai Xiaomeng,Han Xingning,Wen Jinyu等. Robust Unit Commitment Considering Wind Power Ramp Events[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 188-195.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I24/188

[1] Ferreira C, Gama J, Matias L, et al. A survey on wind power ramp forecasting[R]. Technical report, Arg- onne National Laboratory (ANL), 2011.
[2] 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.
[3] 吴小珊, 张步涵, 袁小明, 等. 求解含风电场的电力系统机组组合问题的改进量子离散粒子群优化方法[J]. 中国电机工程学报, 2013, 33(4): 45-52. Wu Xiaoshan, Zhang Buhan, Yuan Xiaoming, et al. Solutions to unit commitment problems in power systems with wind farms using advanced quantum- inspired binary PSO[J]. Proceedings of the CSEE, 2013, 33(4): 45-52.
[4] Pappala V S, Erlich I, Rohrig K, et al. A stochastic model for the optimal operation of a wind-thermal power system[J]. IEEE Transactions on Power Systems, 2009, 24(2): 940-950.
[5] 熊虎, 向铁元, 陈红坤, 等. 含大规模间歇式电源的模糊机会约束机组组合研究[J]. 中国电机工程学报, 2013, 33(13): 36-44. Xiong Hu, Xiang Tieyuan, Chen Hongkun, et al. Research of fuzzy chance constrained unit commit- ment containing large-scale intermittent power[J]. Proceedings of the CSEE, 2013, 33(13): 36-44.
[6] 孙元章, 吴俊, 李国杰, 等. 基于风速预测和随机规划的含风电场电力系统动态经济调度[J]. 中国电机工程学报, 2009, 29(4): 41-47. Sun Yuanzhang, Wu Jun, Li Guojie, et al. Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic pro- gramming[J]. Proceedings of the CSEE, 2009, 29(4): 41-47.
[7] Sevlian R, Rajagopal R. Detection and statistics of wind power ramps[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3610-3620.
[8] H Zheng, A Kusiak. Prediction of wind farm power ramp rates: A data-mining approach[J]. Journal of Solar Energy Engineering, 2009, 131(031011): 1-8.
[9] Jabr R A. Robust transmission network expansion planning with uncertain renewable generation and loads[J]. IEEE Transactions on Power Systems, 2013, 28(4): 4558-4567.
[10] 陈雁, 文劲宇, 程时杰. 电网规划中考虑风电场影响的最小切负荷量研究[J]. 中国电机工程学报, 2011, 31(34): 20-27. Chen Yan, Wen Jinyu, Cheng Shijie. Minimum load- curtailment in transmission network planning consi- dering integrated wind farms[J]. Proceedings of the CSEE, 2011, 31(34): 20-27.
[11] Jiang R, Wang J, Guan Y. Robust unit commitment with wind power and pumped storage hydro[J]. IEEE Transactions on Power Systems, 2012, 27(2): 800-810.
[12] Carrion M, Arroyo J M. A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem[J]. IEEE Transactions on Power Systems, 2006, 21(3): 1371-1378.
[13] Yu H, Rosehart W D. An optimal power flow algorithm to achieve robust operation considering load and renewable generation uncertainties[J]. IEEE Transactions on Power Systems, 2012, 27(4): 1808- 1817.
[14] Soyster A L. Convex programming with set-inclusive constraints and applications to inexact linear pro- gramming[J]. Operations Research, 1973, 21(5): 1154- 1157.
[15] Kang S C. Robust linear optimization using distri- butional information[D]. Boston: Boston University, 2008.
[16] Bertsimasl D, Sim M. The price of robust[J]. Oper- ations Research, 2004, 52(1): 35-53.
[17] 韩学山, 柳焯. 考虑发电机组输出功率速度限制的最优机组组合[J]. 电网技术, 1994, 18(6): 11-15. Han Xueshan, Liu Zuo. Optimal unit commitment considering unit’s ramp-rate limits[J]. Power System Technology, 1994, 18(6): 11-15.