Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

Article retrieval

文章检索

首页 >> 文章检索 >> 往年索引

大规模风电并网下的电力系统调度决策研究

来源:电工电气发布时间:2016-04-06 15:06 浏览次数:13

大规模风电并网下的电力系统调度决策研究 

雷宇1,陈红2,王林3,杨佳俊4 
1 中国人民解放军山东省军区,山东 济南 250099; 2 山东送变电工程公司,山东 济南 250022; 3 国网潍坊供电公司,山东 潍坊 261000; 4 国网莱芜供电公司,山东 莱芜 271100 
 

摘 要:风电功率预测对电力系统的功率平衡和经济调度意义重大。介绍了风电场输出功率的预测方法及影响因素,给出了含风电场的电力系统经济调度模型及相关求解方法,并研究了预测与机组组合滚动优化的配合机制以及储能、电动汽车等多种资源与风电协调互补等问题。指出储能、电动汽车等可调度资源能够有效平抑风电等可再生能源的间歇性和波动性,是实现消纳大规模风电、节能减排、保障电网安全稳定的有效途径。
关键词:电力系统;风电并网;经济调度;滚动调度优化;协调互补;调度模式
中图分类号:TM614 文献标识码:A 文章编号:1007-3175(2014)12-0006-08


Review on Power System Economic Dispatch Strategy Research of Lager-Scale Wind Power Integration 

LEI Yu1, CHEN Hong2, WANG Lin3, YANG Jia-jun4 
1 Chinese People’s Liberation Army of Shandong Province Military Region, Jinan 250099, China; 2 Shandong Electric Power Transmission and Transformation Engineering Company, Jinan 250022, China; 3 State Grid Weifang Power Supply Company, Weifang 261000, China; 4 State Grid Laiwu Power Supply Company, Laiwu 271100, China 
 

Abstract: There is great significance for wind power predict in power balance and economic dispatch of power system. Introduction was made to the wind farm power output predict method and impact factors. This paper gave the power system dispatch model and the related solution method including wind farm, and researched predict and units combination rolling coordinated and optimized mechanism and energy storage, electric automobile etc multiple resources and wind power coordination mutuality etc issues. It is pointed out that energy storage, electric automobiles etc controlled dispatch can effectively reduce intermittence and undulatory property of wind power etc renewable energy resources, which is an effective way to absorb large-scale wind power with energy saving and discharge reduction, to ensure power grid safety and stability.
           Key words: power system; wind power integration; economic dispatch; rolling dispatch optimization; coordination mutuality; dispatching mode


参考文献
[1] 李俊峰,施鹏飞,高虎.中国风电发展报告[R].海口:海南出版社,2010. 
[2] 王芝茗,苏安龙,鲁顺.基于电力平衡的辽宁电网接纳风电能力分析[J].电力系统自动化,2010,34(3):86-90. 
[3] 肖创英,汪宁渤,丁坤,等.甘肃酒泉风电功率调节方式的研究[J].中国电机工程学报,2010,30(10):1-7. 
[4] Hannele Holttinen.Handling of Wind Power Forecast Errors in the Nordic Power Market[C]//International Conference on Probabilistic Methods Applied to Power Systems,2006. 
[5] 杨秀媛,肖洋,陈树勇.风电场风速和发电功率预测研究[J].中国电机工程学报,2005,25(11):1-5. 
[6] 范高锋,王伟胜,刘纯,戴慧珠.基于人工神经网络的风电功率预测[J].中国电机工程学报,2008,28(34):118-123. 
[7] 刘纯,范高锋,王伟胜,戴慧珠.风电场输出功率的组合预测模型[J].电网技术,2009,33(13):74-79. 
[8] 张国强,张伯明.基于组合预测的风电场风速及风电机功率预测[J].电力系统自动化,2009,33(18):92-95. 
[9] 韩学山,杨明,张利.价值调度推进智能化电网发展的思考[J].电力系统自动化,2010,34(2):5-9. 
[10] Restrepo J F, Galiana F D.Secondary Reserve Dispatch Accounting for Wind Power Randomness and Spillage[C]//IEEE Power Engineering Society General Meeting, 2007. 
[11] 张国强,张伯明.考虑风电接入后二次备用需求的优化潮流算法[J].电力系统自动化,2009,33(8):25-28. 
[12] 周玮,彭昱,孙辉,魏庆海.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. 
[13] 姜文,严正.基于一种改进粒子群算法的含风电场电力系统动态经济调度[J].电力系统保护与控制,2010,38(21):173-178. 
[14] 夏澍,周明,李庚银.含大规模风电场的电力系统动态经济调度[J].电力系统保护与控制,2011,39(13):71-77. 
[15] 陈海焱,陈金富,段献忠.含风电场电力系统经济调度的模糊建模及优化算法[J].电力系统自动化,2006,30(2):22-26. 
[16] Miranda V, Pun Sio Hang.Economic Dispatch Model with Fuzzy Wind Constraints and Attitudes of Dispatchers[J].IEEE Transactions on Power Systems, 2005,20(4):2143-2145. 
[17] Wang Lingfeng, Singh C.PSO-Based Multi-Criteria Economic Dispatch Considering Wind Power Penetration Subject to Dispatcher’s Attitude[C]//Power Symposium, 2006. 
[18] Venkatesh B, Peng Yu, Gooi H B, Dechen Choling.Fuzzy MILP unit commitment incorporating wind generators[J].IEEE Transactions on Power Systems, 2008,23(4):1738-1746. 
[19] 刘宝碇,赵瑞清,王纲.不确定规划及应用[M].北京:清华大学出版社,2003. 
[20] Soder L.Simulation of Wind Speed Forecast Errors for Operation Planning of Multiarea Power Systems[C]//2004 International Conference on Probabilistic Methods Applied to Power Systems, 2004. 
[21] Dupacova J, Growe-Kuska N, Romisch W.Scenario reduction in stochastic programming:An approach using probability metrics[J].Mathematical Programming, 2003,95(3):493-511.
[22] Romisch W, Heitsch H.Scenario reduction algorithms in stochastic program[J].Computational Optimization and Applications, 2003,24(2/3):187-206. 
[23] Growe-Kuska N, Heitsch H, Romisch W.Scenario Reduction and Scenario Tree Construction for Power Management Problems[C]//Proceedings of 2003 IEEE Bologna Power Tech Conference Proceeding, 2003. 
[24] Wang Jianhui, Shahidehpour M, Li Zuyi.Security constrained unit commitment with volatile wind power generation[J].IEEE Transactions on Power Systems, 2008,23(3):1319-1327.
[25] 颜拥,文福拴,杨首晖.考虑风电出力波动性的发电调度[J].电力系统自动化,2010,34(6):79-88. 
[26] 谢毓广,江晓东.储能系统对含风电的机组组合问题影响分析[J].电力系统自动化,2011,35(5):19-24. 
[27] 叶荣,陈皓勇,王钢,陈盼.多风电场并网时安全约束机组组合的混合整数规划解法[J].电力系统自动化,2010,34(5):29-33. 
[28] 江岳文,陈冲,温步瀛.含风电场的电力系统机组组合问题随机模拟粒子群算法[J].电工技术学报,2009,24(6):129-137. 
[29] 孙元章,吴俊,李国杰,何剑.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. 
[30] 张伯明,吴文传,郑太一,孙宏斌.消纳大规模风电的多时间尺度协调的有功调度系统设计[J].电力系统自动化,2011,35(1):1-6. 
[31] 张国强,吴文传,张伯明.考虑风电接入的有功运行备用协调优化[J].电力系统自动化,2011,35(12):15-19. 
[32] 张国强,张伯明,吴文传.考虑风电接入的协调滚动发电计划[J].电力系统自动化,2011,35(19):18-22. 
[33] 沈伟,吴文传,张伯明,郑太一,孙宏斌.消纳大规模风电的在线滚动调度策略与模型[J].电力系统自动化,2011,35(22):136-140. 
[34] 王洪涛,何成明,房光华,傅磊.计及风电预测误差带的调度计划渐进优化模型[J].电力系统自动化,2011,35(22):131-135. 
[35] Ahmed Yousuf Saber, Ganesh Kumar Venayagamoorthy. Intelligent unit commitment with vehicle-to-grid—A cost-emission optimization[J].Journal of Power Sources,2010,195(3):898–911. 
[36] 赵俊华,文福拴,薛禹胜,董朝阳,辛建波.计及电动汽车和风电出力不确定性的随机经济调度[J].电力系统自动化,2010,34(20):22-29. 
[37] 陆凌蓉,文福拴,薛禹胜,辛建波.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. 
[38] 蔡秋娜,文福拴,薛禹胜,辛建波.基于SCUC的可入网混合电动汽车优化调度方法[J].电力系统自动化,2012,36(1):38-46. 
[39] 于大洋,宋曙光,张波,韩学山.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,2011,35(14):24-29. 
[40] Lei Yu, Han Xueshan, Yu Dayang.Multi-Time Scale Decision-Making Method of Synergistic Dispatch[C]//International Conference on IEEE PES Innovative Smart Grid Technologies-Asia, 2012. 
[41] 李智,韩学山,杨明,雷宇,康凯.计及接纳风电能力的电网调度模型[J].电力系统自动化,2010,34(19):15-19. 
[42] 张粒子,周娜,王楠.大规模风电接入电力系统调度模式的经济性比较[J].电力系统自动化,2011,35(22):105-110. 
[43] 王彩霞,乔颖,鲁宗相,徐飞.低碳经济下风火互济系统日前发电计划模式分析[J].电力系统自动化,2011,35(22):111-117. 
[44] 王彩霞,乔颖,鲁宗相.考虑风电效益的风火互济系统旋转备用确定方式[J].电力系统自动化,2012,36(4):16-21.