基于风险的风电并网可容许性评估
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摘要
随着日益增长的大规模风电并网,其波动性和随机性已对电力系统安全稳定运行产生了严重的影响。提出一种基于风险的风电功率可容许性评估方法,定量评估在既定经济调度策略下电力系统无风险消纳风电功率最大值。定义由风电波动性和随机性引起的运行风险作为其可容许性测度,建立风险最小化、边界最大化模型来刻画风电功率可容许区域,在此区域内风电功率任意值不会影响系统运行可行性。以改进鸡群算法对模型进行求解。算例分析验证了所提模型及算法的有效性。
With the increasing integration of large-scale wind power,its fluctuation and randomness have seriously impacted the safe and stable operation of power system. A risk-based approach of wind power admissibility assessment is proposed to quantitatively evaluate the maximum wind power that can be accommodated by the power system without any risk under a given economic dispatch strategy. The operational risk due to the fluctuation and randomness of wind power is defined as a measure of admissibility and a model with the minimum risk and the maximum boundary is built to characterize the admissible region of wind power,in which,the wind power at arbitrary level will not affect the feasibility of system operation.An improved chicken swarm optimization algorithm is adopted to solve the model. Case analysis verifies the effectiveness of the proposed model and algorithm.
With the increasing integration of large-scale wind power,its fluctuation and randomness have seriously impacted the safe and stable operation of power system. A risk-based approach of wind power admissibility assessment is proposed to quantitatively evaluate the maximum wind power that can be accommodated by the power system without any risk under a given economic dispatch strategy. The operational risk due to the fluctuation and randomness of wind power is defined as a measure of admissibility and a model with the minimum risk and the maximum boundary is built to characterize the admissible region of wind power,in which,the wind power at arbitrary level will not affect the feasibility of system operation.An improved chicken swarm optimization algorithm is adopted to solve the model. Case analysis verifies the effectiveness of the proposed model and algorithm.
引文
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[10]文旭,王俊梅,郭琳,等.计及污染气体排放风险的多目标随机动态环境经济调度模型[J].电力自动化设备,2015,35(5):131-138.WEN Xu,WANG Junmei,GUO Lin,et al.Multi-objective stochastic and dynamic model of environmental and economic dispatch considering gas pollution emission risk[J].Electric Power Automation Equipment,2015,35(5):131-138.
[11]JIANG Ruiwei,WANG Jianhui,GUAN Yongpei.Robust unit commitment with wind power and pumped storage hydro[J].IEEETransactions on Power Systems,2012,27(2):800-810.
[12]SAURABH T,CHARLES J G,NED M.A statistical model for wind power forecast error and its application to the estimation of penalties in liberalized markets[J].IEEE Transactions on Power Systems,2011,26(4):2031-2039.
[13]刘小会.正态分布积分的高精度算法[J].长春理工大学学报(自然科学版),2011,34(3):179-181.LIU Xiaohui.A high precision algorithm for the normal distribution integral[J].Journal of Changchun University of Science and Technology(Natural Science Edition),2011,34(3):179-181.
[14]MENG X B,LIU Y,GAO X Z,et al.A new bio-inspired algorithm:chicken swarm optimization[C]∥5th International Conference on Swarm Intelligence.Hefei,China:Springer International Publishing,2014:86-94.
[15]姜文.计及风力发电的电力系统可靠性与动态经济调度研究[D].上海:上海交通大学,2012.JIANG Wen.Research on reliability and dynamic economic dispatch of power system considering wind power[D].Shanghai:Shanghai Jiao Tong University,2012.
[2]薛禹胜,郁琛,赵俊华,等.关于短期及超短期风电功率预测的评述[J].电力系统自动化,2015,39(6):141-151.XUE Yusheng,YU Chen,ZHAO Junhua,et al.A review on short-term and ultra-short-term wind power prediction[J].Automation of Electric Power Systems,2015,39(6):141-151.
[3]BERTSIMAS D,LITVINOV E,SUN X.Adaptive robust optimization for the security constrained unit commitment problem[J].IEEETransactions on Power Systems,2013,28(1):52-63.
[4]于丹文,杨明,翟鹤峰,等.鲁棒优化在电力系统调度决策中的应用研究综述[J].电力系统自动化,2016,40(7):134-143.YU Danwen,YANG Ming,ZHAI Hefeng,et al.An overview of robust optimization used for power system dispatch and decisionmaking[J].Automation of Electric Power Systems,2016,40(7):134-143.
[5]康重庆,贾文昭,徐乾耀,等.考虑网络安全约束的实时风电消纳能力评估[J].中国电机工程学报,2013,33(16):23-29.KANG Chongqing,JIA Wenzhao,XU Qianyao,et al.Capability evaluation of wind power accommodation considering security constraints of power grid in real-time dispatch[J].Proceedings of the CSEE,2013,33(16):23-29.
[6]WEI Wei,LIU Feng,MEI Shengwei.Robust energy and reserve dispatch under variable renewable generation[J].IEEE Transactions on Smart Grid,2015,6(1):369-380.
[7]WANG Jianhui,MOHAMMAD S,LI Zuyi.Security-constrained unit commitment with volatile wind power generation[J].IEEE Transactions on Power Systems,2008,23(3):1319-1327.
[8]WANG Qianfan,WANG Jianhui,GUAN Yongpei.Stochastic unit commitment with uncertain demand response[J].IEEE Transactions on Power Systems,2013,28(1):562-563.
[9]曲正伟,王京波,张坤,等.考虑不确定性成本的含风电场群电力系统短期优化调度[J].电力自动化设备,2016,36(4):137-144.QU Zhengwei,WANG Jingbo,ZHANG Kun,et al.Short-term optimal dispatch considering uncertainty cost for power system with wind farms[J].Electric Power Automation Equipment,2016,36(4):137-144.
[10]文旭,王俊梅,郭琳,等.计及污染气体排放风险的多目标随机动态环境经济调度模型[J].电力自动化设备,2015,35(5):131-138.WEN Xu,WANG Junmei,GUO Lin,et al.Multi-objective stochastic and dynamic model of environmental and economic dispatch considering gas pollution emission risk[J].Electric Power Automation Equipment,2015,35(5):131-138.
[11]JIANG Ruiwei,WANG Jianhui,GUAN Yongpei.Robust unit commitment with wind power and pumped storage hydro[J].IEEETransactions on Power Systems,2012,27(2):800-810.
[12]SAURABH T,CHARLES J G,NED M.A statistical model for wind power forecast error and its application to the estimation of penalties in liberalized markets[J].IEEE Transactions on Power Systems,2011,26(4):2031-2039.
[13]刘小会.正态分布积分的高精度算法[J].长春理工大学学报(自然科学版),2011,34(3):179-181.LIU Xiaohui.A high precision algorithm for the normal distribution integral[J].Journal of Changchun University of Science and Technology(Natural Science Edition),2011,34(3):179-181.
[14]MENG X B,LIU Y,GAO X Z,et al.A new bio-inspired algorithm:chicken swarm optimization[C]∥5th International Conference on Swarm Intelligence.Hefei,China:Springer International Publishing,2014:86-94.
[15]姜文.计及风力发电的电力系统可靠性与动态经济调度研究[D].上海:上海交通大学,2012.JIANG Wen.Research on reliability and dynamic economic dispatch of power system considering wind power[D].Shanghai:Shanghai Jiao Tong University,2012.