您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报 (工学版) ›› 2022, Vol. 52 ›› Issue (1): 120-127.doi: 10.6040/j.issn.1672-3961.0.2020.425

• • 上一篇    

考虑灵活性需求的电力系统优化调度

孙东磊1,孙可奇2,杨金叶3,曹永吉3*,袁振华1,刘冬1,张恒旭3   

  1. 1. 国网山东省电力公司经济技术研究院, 山东 济南 250021;2. 国网山东省电力公司, 山东 济南 250001;3. 电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 250061
  • 发布日期:2022-02-21
  • 作者简介:孙东磊(1988— ),男,山东济南人,高级工程师,硕士,主要研究方向为电网规划. E-mail:sdusdlei@sina.com. *通信作者简介:曹永吉(1992— ),男,山东青州人,博士研究生,主要研究方向为电力系统分析与控制. E-mail:caoyongji1991@163.com
  • 基金资助:
    国网山东省电力公司科技资助项目(52062518000Q)

Power system optimal dispatch considering the requirements of flexibility

SUN Donglei1, SUN Keqi2, YANG Jinye3, CAO Yongji3*, YUAN Zhenhua1, LIU Dong1, ZHANG Hengxu3   

  1. 1. Economic and Technological Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, Shandong, China;
    2. State Grid Shandong Electric Power Company, Jinan 250001, Shandong, China;
    3. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
  • Published:2022-02-21

摘要: 提出一种考虑灵活性需求的电力系统优化调度方法。基于多维Copula函数构建风光出力联合概率分布模型,以描述其时空相关特性,并利用该模型进行随机生产模拟。构建量化指标来评估电力系统的灵活性裕度,并以经济性最优为目标,建立考虑灵活性需求的随机优化调度模型。基于确定性等价转化方法和分段线性化方法,将上述随机非线性规划模型转换为确定性线性规划模型求解。结合算例,对所提模型及其求解方法进行了验证。

关键词: 可再生能源, 时空相关性, 优化调度, 灵活性需求, 量化评估

中图分类号: 

  • TM715
[1] 丁明,王伟胜,王秀丽,等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34(1): 1-14. DING Ming, WANG Weisheng, WANG Xiuli, et al. Overview of the impact of large-scale photovoltaic power generation on power system[J]. Chinese Journal of Electrical Engineering, 2014, 34(1): 1-14.
[2] VOROPAI N, PODKOVALNIKOV S, OSINTSEV K. From interconnections of local electric power systems to Global Energy Interconnection[J]. Global Energy Interconnection, 2018, 1(1): 4-10.
[3] 徐乾耀,康重庆,张宁,等. 海上风电出力特性及其消纳问题探讨[J]. 电力系统自动化, 2011, 35(22): 54-59. XU Qianyao, KANG Chongqing, ZHANG Ning, et al. Discussion on the output characteristics and consumption of offshore wind power[J]. Power System Automation, 2011, 35(22): 54-59.
[4] KÅBERGER T. Progress of renewable electricity replacing fossil fuels[J]. Global Energy Interconnection, 2018, 1(1): 48-52.
[5] LANNOYE E, FLYNN D, MALLEY M O. Evaluation of power system flexibility[J]. IEEE Transactions on Power Systems, 2012, 27(2): 922-931.
[6] CAPASSO A, FALVO M C, LAMEDICA R, et al. A new methodology for power systems flexibility evaluation[C] //2005 IEEE Russia Power Tech. St. Petersburg, Russia: IEEE, 2005.
[7] MENEMENLIS N, HUNEAULT M, ROBITAILLE A. Thoughts on power system flexibility quantification for the short-term horizon[C] //2011 IEEE Power and Energy Society General Meeting. Detroit, USA: IEEE, 2011.
[8] MA J, SILVA V, BELHOMME R, et al. Evaluating and planning flexibility in sustainable power systems[J]. IEEE Transactions on Sustainable Energy, 2013, 4(1): 200-209.
[9] ROSSO A, MA J, KIRSCHEN D S, et al. Assessing the contribution of demand side management to power system flexibility[C] //2011 50th IEEE Conference on Decision and Control and European Control Conference. Orlando, USA: IEEE, 2011.
[10] WAN H, CAO Y, WANG W, et al. Economic dispatch constrained by central multi-period security for Global Energy Interconnection and its application in the Northeast Asia[J]. Global Energy Interconnection, 2018, 1(2): 108-114.
[11] 马丽,王宗礼,刘伟,等. 考虑运行灵活性的智能配电网多层优化规划[J]. 电力建设, 2018, 39(6):71-79. MA Li, WANG Zongli, LIU Wei, et al. Multilayer optimal planning of intelligent distribution network considering operation flexibility[J]. Electric Power Construction, 2018, 39(6): 71-79.
[12] LANNOYE E, FLYNN D, MALLEY M O. The role of power system flexibility in generation planning[C] //2011 IEEE Power and Energy Society General Meeting. Detroit, USA: IEEE, 2011.
[13] CESE(~overN)A E A M, CAPUDER T, MANCARELLA P. Flexible distributed multienergy generation system expansion planning under uncertainty[J]. IEEE Transactions on Smart Grid, 2016, 7(1): 348-357.
[14] 鲁宗相,李海波,乔颖. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化, 2016, 40(13): 147-158. LU Zongxiang, LI Haibo, QIAO Ying. Power system flexibility planning and challenges with high proportion of renewable energy[J]. Power System Automation, 2016, 40(13): 147-158.
[15] 杨宁,文福拴. 基于机会约束规划的输电系统规划方法[J].电力系统自动化, 2004, 28(14): 23-27. YANG Ning, WEN Fushuan. Transmission system planning method based on chance constrained programming[J]. Power System Automation, 2004, 28(14): 23-27.
[16] 王乐,余志伟,文福拴. 基于机会约束规划的最优旋转备用容量确定[J]. 电网技术, 2006, 30(20): 14-19. WANG Le, YU Zhiwei, WEN Fushuan. Determination of optimal spinning reserve capacity based on chance constrained programming[J]. Power Grid Technology, 2006, 30(20): 14-19.
[17] 赵书强,刘晨亮,王明雨,等.基于机会约束规划的储能日前优化调度[J]. 电网技术, 2013, 37(11): 3055-3059. ZHAO Shuqiang, LIU Chenliang, WANG Mingyu, et al. Day ahead optimal scheduling of energy storage based on chance constrained programming[J]. Power Grid Technology, 2013, 37(11): 3055-3059.
[18] LI Y, LIU H, FAN X, et al. Engineering practices for the integration of large-scale renewable energy VSC-HVDC systems[J]. Global Energy Interconnection, 2020, 3(2): 149-157.
[19] 鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J]. 中国电机工程学报, 2017, 37(1): 9-19. LU Zongxiang, LI Haibo, QIAO Ying. Power system flexibility evaluation and balance mechanism of high proportion renewable energy integration[J]. Chinese Journal of Electrical Engineering, 2017, 37(1): 9-19.
[20] 刘春阳,王秀丽,刘世民,等. 计及蓄电池使用寿命的微电网经济调度模型[J]. 电力自动化设备, 2015, 35(10): 29-36. LIU Chunyang, WANG Xiuli, LIU Shimin, et al. Economic dispatch model of microgrid considering battery life[J]. Power Automation Equipment, 2015, 35(10): 29-36.
[21] 王群,董文略,杨莉. 基于Wasserstein距离和改进K-medoids聚类的风电/光伏经典场景集生成算法[J]. 中国电机工程学报, 2015, 35(11): 2654-2661. WANG Qun, DONG wenlue, YANG Li. Generation algorithm of wind power and photovoltaic classic scene set based on Wasserstein distance and improved K-medoids clustering[J]. Chinese Journal of Electrical Engineering, 2015, 35(11): 2654-2661.
[1] 李文升,王宪,米元泽,曹永吉,刘晓明,张恒旭,刘子菡. 考虑风光多维时空相关性的电源规划方法[J]. 山东大学学报 (工学版), 2022, 52(1): 111-119.
[2] 张恒旭,曹永吉,张怡,李常刚,阮佳程,TerzijaVLADIMIR. 电力系统频率动态行为衍变与分析方法需求综述[J]. 山东大学学报 (工学版), 2021, 51(5): 42-52.
[3] 李德鑫,宗崇林,王佳蕊,张海锋,刘畅,黄大为. 计及特高压直流外送及转运合同约束的日前优化调度[J]. 山东大学学报 (工学版), 2021, 51(1): 69-75, 86.
[4] 李先栋,王飞,曹永吉,王李龑,王琳,卢奕,刘子菡. 基于层次分析法的梯次利用电池储能系统运行性能量化评估[J]. 山东大学学报 (工学版), 2019, 49(4): 123-129.
[5] 宋士瞻,王传勇,康文文,张健,闫红华,李鹏. 基于时序生产模拟的配电网光伏装机容量规划[J]. 山东大学学报 (工学版), 2018, 48(5): 131-136.
[6] 褚晓东,唐茂森,高旭,刘伟生,贾善杰,李笋. 基于集中式信息系统的主动配电网鲁棒优化调度[J]. 山东大学学报(工学版), 2017, 47(6): 20-25.
[7] 张恒旭,施啸寒,刘玉田,杨冬. 我国西北地区可再生能源基地对全球能源互联网构建的支撑作用[J]. 山东大学学报(工学版), 2016, 46(4): 96-102.
[8] 贠汝安1,2,董增川1,王好芳2. 基于NSGA2的水库多目标优化[J]. 山东大学学报(工学版), 2010, 40(6): 124-128.
[9] 高厚磊 田佳 杜强 武志刚 刘淑敏. 能源开发新技术——分布式发电[J]. 山东大学学报(工学版), 2009, 39(5): 106-110.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!