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电网技术  2014 

基于两步制自适应求解算法的风电-电动汽车多种并网模式效益对比分析模型

DOI: 10.13335/j.1000-3673.pst.2014.06.011, PP. 1492-1498

Keywords: 可入网电动汽车,风电,机组组合,多目标,充放电模式

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Abstract:

针对可入网电动汽车和风电出力随机性对电力系统运行状态的影响,综合考虑电动汽车在无控充电、持续充电、延迟充电和完全优化充电模式下的运行特点,并结合系统运行的约束条件构建了风电-电动汽车协同调度多目标优化模型。然后,提出了基于改进ε约束方法与模糊决策理论的两步制自适应模型求解方法,得到隶属度最优的系统运行方案。最后,以IEEE36节点10机系统进行算例仿真并对电动汽车并网数量进行敏感性分析,结果表明所提方法在求解风电-电动汽车协同调度问题时具有可行性和有效性;电网汽车在完全优化充电模式下并网具有更好的削峰填谷效果,能够为风电提供更多的备用服务,降低弃风电量;随着电动汽车并网数量的增加,风电弃风电量和火电发电成本均逐渐降低。

References

[1]  薛飞,雷宪章,张野飚,等.电动汽车与智能电网从V2G到B2G的全新结合模式[J].电网技术,2012,36(2):29-34. Xue Fei,Lei Xianzhang,Zhang Yebiao,et al.A brand-new approach of connecting electrical vehicles with smart grid from vehicle-to-grid mode to battery-to-grid mode[J].Power System Technology,2012,36(2):29-34(in Chinese).
[2]  Kothari,Dhillon J S.Power system optimization[M].India: Prentice-hall,2004.
[3]  Mavrotas G,Diakoulaki D. Multi-criteria branch and bound:a vector maximization algorithm for mixed 0-1 multiple objective linear programming[J].Applied Mathematics and Computation,2005,171(1):53-71.
[4]  Wang S J,Shahidehpour S M,Kirschen D S,et al.Short-term generation scheduling with transmission and environmental constraints using an augmented Lagangian relaxation[J].IEEE Transactions on Power Systems,1995,10(3):1294-1301.
[5]  Amjady N,Aghaei J,Shayanfar H A.Stochastic multiobjective market clearing of joint energy and reserves auctions ensuring power system security[J].IEEE Transactions on Power Systems,2009,24(4):1841-1854.
[6]  陆凌蓉,文福拴,薛禹胜,等.计及可入网电动汽车的电力系统机组最优组合[J].电力系统自动化,2011,35(21):16-20. Lu Lingrong,Wen Fushuan,Xue Yusheng,et al.Unit commitment in power system with plug-in electric vehicles[J].Automation of Electric Power Systems,2011,35(21):16-20(in Chinese).
[7]  张昌华,孟劲松,曹永兴,等.换电模式下电动汽车换电充裕度模型及仿真研究[J].电网技术,2012,36(9):15-19. Zhang Changhua,Meng Jinsong,Cao Yongxing,et al.A battery swapping requirement adequacy model for electric vehicles and its simulation research[J].Power System Technology,2012,36(9):15-19(in Chinese).
[8]  胡泽春,宋永华,徐智威,等.电动汽车接入电网的影响与利用[J].中国电机工程学报,2012,32(4):1-11. Hu Zechun,Song Yonghua,Xu Zhiwei,e tal.Impacts and utilization of electric vehicles integration into power systems[J].Proceedings of the CSEE,2012,32(4):1-11(in Chinese).
[9]  蔡德福,钱斌,陈金富,等.含电动汽车充电负荷和风电的电力系统动态概率特性分析[J].电网技术,2013,37(3):590-596. Cai Defu,Qian Bin,Chen Jinfu,et al.Analysis on dynamic probabilistic characteristic of power grid connected with electric vehicle charging load and wind power[J].Power System Technology,2013,37(3):590-596(in Chinese).
[10]  李惠玲,白晓民,谭闻,等.电动汽车与分布式发电入网的协调控制研究[J].电网技术,2013,37(8):2108-2115. Li Huiling,Bai Xiaomin,Tan Wen,et al.Coordination control for grid-connection of plug-in hybrid electric vehicles and distributed generation[J].Power System Technology,2013,37(8):2108-2115(in Chinese).
[11]  于大洋,宋曙光,张波,等.区域电网电动汽车充电与风电协同调度的分析[J].电力系统自动化,2011,25(14):24-29. Yu Dayang,Song Shuguang,Zhang Bo,et al.Synergistic dispatch of PEVs charging and wind power in Chinese regional power grids[J].Automation of Electric Power Systems,2011,25(14):24-29(in Chinese).
[12]  韩海英,和敬涵,王小君,等.基于改进粒子群算法的电动车参与负荷平抑策略[J].电网技术,2011,35(10):165-169. Han Haiying,He Jinghan,Wang Xiaojun,et al.An improved particle swarm optimization-based load response strategy with participation of vehicle to grid[J].Power System Technology,2011,35(10):165-169(in Chinese).
[13]  Wang Hengsong,Huang Qi,Zhang Changhua,et al.A novel approach for the layout of electric vehicle charging station[C]//International Conference on Apperceiving Computing and Intelligence Analysis.Sichuan:IEEE,2010:64-70.
[14]  沈阅,徐昌云,程浩忠.基于优先级权系数法的架空线路入地改造控制算法[J].电网技术,2004,28(12):5-9. Shen Yue,Xu Changyun,Cheng Haozhong.Reconstruction sequence algorithm for replacing overhead lines by underground cables based on priority weights method[J].Power System Technology,2004,28(12):5-9(in Chinese).
[15]  娄素华,余欣梅,熊信艮,等.电力系统机组启停优化问题的改进DPSO算法[J].中国电机工程学报,2005,25(8):30-35. Lou Suhua,Yu Xinmei,Xiong Xinyin,et al.Unit commitment using improved discrete particle swarm optimization algorithm[J].Proceedings of the CSEE,2005,25(8):30-35(in Chinese).
[16]  孙波,廖强强,谢品杰,等.车电互联削峰填谷的经济成本效益分析[J].电网技术,2012,36(10):30-34. Sun Bo,Liao Qiangqiang,Xie Pinjie,et al.A cost-benefit analysis model of vehicle-to-grid for peak shaving[J].Power System Technology,2012,36(10):30-34(in Chinese).
[17]  王抒祥.减排约束下电力资源综合利用优化模型与方法研究[D].北京:华北电力大学,2013.
[18]  Bisanovi S,Hajro M,Dlakic M.Hydrothermal self-scheduling problem in a day-ahead electricity market[J]. Electric Power Systems Research,2008,78(9):1579-1596.

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