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安全性与经济性协调的鲁棒区间风电调度方法

DOI: 10.13334/j.0258-8013.pcsee.2014.07.004, PP. 1033-1040

Keywords: 电力系统,安全性,经济性,鲁棒优化,区间调度,动态经济调度,置信水平

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Abstract:

鲁棒调度模型可以求解出在不确定性参数发生变化,总是可行的优化解。但是,这类模型的问题是结果过于保守。为此,提出了满足一定置信水平的鲁棒区间调度模型,通过设置置信水平实现经济与安全的协调。分析了风电出力不确定度取值与置信水平的数学关系,以此作为风电出力区间收缩的依据。采用线性规划的对偶理论将所提的双层优化模型转化为单层的非线性规划模型求解,并采用内点法实现有效求解。在IEEERTS24节点测试系统上的算例结果证明了该方法的有效性。

References

[1]  Liu X, Xu W, Huang C.Economic load dispatch with stochastic wind power:model and solutions[C]//IEEE PES Transmission and Distribution Conference and Exposition.New Orleans, USA:IEEE Power & Energy Society, 2010:1-7.
[2]  Liu X, Xu W.Economic load dispatch constrained by wind power availability:a here-and-now approach[J].IEEE Trans. on Sustainable Energy, 2010, 1(1):2-9.
[3]  Jiang Ruiwei, Wang Jianhui, Guan Yongpei.Robust unit commitment with wind power and pumped storage hydro[J].IEEE Trans. on Power Systems, 2012, 27(2):800-810.
[4]  高红均, 刘俊勇, 刘继春, 等.基于坏场景集的含风电机组组合模型[J].电力系统保护与控制, 2013, 41(10):27-32.Gao Hongjun, Liu Junyong, Liu Jichun, et al.The unit commitment with wind power based on the bad scenario set[J].Power System Protection and Control, 2013, 41(10):27-32(in Chinese).
[5]  唐民, 童小娇, 文强.计及网络参数不确定的含风电场安全经济调度[J].电力系统及其自动化学报, 2012, 24(2):27-34.Tan Min, Tong Xiaojiao, Wen Qiang.Security economic dispatch of power system integrated with wind farms considering uncertainty of network parameters[J].Proceedings of the CSU-EPSA, 2012, 24(2):27-34(in Chinese).
[6]  唐民.基于鲁棒优化的含风电场安全经济调度研究[D].长沙:长沙理工大学, 2011.Tang Min.The research of security economic dispatch of wind farm based on robust optimization[D].Changsha:Changsha University of Science & Technology, 2011(in Chinese).
[7]  李伟, 陈驾宇, 潘志, 等.基于鲁棒优化的含径流式小水电的电力系统安全经济调度[J].电力学报, 2012, 27(6):574-577.Li Wei, Chen Jiayu, Pan Zhi, et al.Robust optimization for power system security economic dispatch with run of small hydropower[J].Journal of Electric Power, 2012, 27(6):574-577(in Chinese).
[8]  Wu W C, Chen J H, Zhang B M, et al.A robust wind power optimization method for look-ahead power dispatch[J].IEEE Trans. on Sustainable Energy, 2014.http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6722890&sortType%3Dasc_p_Sequence%26filter%3DA ND(p_IS_Number%3A5433168).DOI:10.1109/TSTE. 2013.2294467.
[9]  Bertsimas D, Thiele A.Robust and data-driven optimization:modern decision-making under uncertainty [J].Informs Tutorials in Operation Research:Models, Methods and Applications for Innovative Decision Making, 2006.http://tutorials.pubs.informs.org.DOI:10.1287/educ.1063.0022.
[10]  Sim M.Robust optimization[D].Cambridge:Massachusetts Institute of Technology, 2004.
[11]  Bertsimas D, Sim M.The price of robustness[J].Operation Research, 2004, 52(1):35-53.
[12]  Ben-Tal A, Nemirovski A.Robust solutions of linear programming problems contaminated with uncertain data[J].Math Program, 2000, 88(3):411-424.
[13]  Arkadi N.Lectures on robust convex optimization [EB/OL].Georgia:Georgia Institute of Technology, 2012 [2013-03-.http://www2.isye.gatech.edu/~nemirovs/ Syllabus_TableofContents.pdf.
[14]  Fei X, James D.Risk-based security and economy tradeoff analysis for real-time operation[J].IEEE Trans. on Power Systems, 2007, 22(4):2287-2288.
[15]  查浩, 韩学山, 杨朋朋.电网运行状态下的概率优化调度[J].中国电机工程学报, 2008, 28(28):54-60.Zha Hao, Han Xueshan, Yang Pengpeng.Probabilistic optimal dispatching under operating condition of power network[J].Proceedings of the CSEE, 2008, 28(28):54-60(in Chinese).
[16]  John C, Thomas W, Parnjit D.Optimal power flow with expected security costs[J].IEEE Trans. on Power Systems, 2006, 21(2):541-547.
[17]  Jason C.A robust optimization approach to the self- scheduling problem using semidefinite programming[D].Waterloo, Ontario, Canada :University of Waterloo, 2009.
[18]  Bertsimas D, Litvinov E, Xu A, et al.Adaptive robust optimization for the security constrained unit commitment problem[J].IEEE Trans. on Power Systems, 2013, 28(1):52-63.

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