[1]孙旺青,刘晓峰,季振亚,等.基于分布鲁棒优化的社区型能源系统低碳经济调度[J].南京师范大学学报(工程技术版),2022,(02):015-22.[doi:10.3969/j.issn.1672-1292.2022.02.003]
 Sun Wangqing,Liu Xiaofeng,Ji Zhenya,et al.Low-carbon Economic Scheduling for Community Energy System Based on Distributionally Robust Optimization[J].Journal of Nanjing Normal University(Engineering and Technology),2022,(02):015-22.[doi:10.3969/j.issn.1672-1292.2022.02.003]
点击复制

基于分布鲁棒优化的社区型能源系统低碳经济调度
分享到:

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年02期
页码:
015-22
栏目:
电气工程
出版日期:
2022-06-30

文章信息/Info

Title:
Low-carbon Economic Scheduling for Community Energy System Based on Distributionally Robust Optimization
文章编号:
1672-1292(2022)02-0015-08
作者:
孙旺青刘晓峰季振亚柏 颖陈雪颖
(南京师范大学南瑞电气与自动化学院,江苏 南京 210023)
Author(s):
Sun WangqingLiu XiaofengJi ZhenyaBai YingChen Xueying
(School of NARI Electrical and Automation,Nanjing Normal University,Nanjing 210023,China)
关键词:
分布鲁棒优化非合作博弈不确定性线性决策对偶原理
Keywords:
distributionally robust optimizationnon-cooperative gameuncertaintylinear decision makingduality principle
分类号:
TM715
DOI:
10.3969/j.issn.1672-1292.2022.02.003
文献标志码:
A
摘要:
随着可再生能源渗透率的提高以及能源转型进程的推进,能源系统在保证调度策略鲁棒性的同时,也要考虑系统的绿色性和低碳性. 针对含碳捕集机组的社区型能源系统中各社区在风电功率不确定性下的最优决策问题,提出一种非合作博弈模式下的分布鲁棒优化方法. 首先,以运行成本最低为目标,构建各社区的两阶段调度模型. 其次,将风电功率的分布信息纳入到两阶段模型中,考虑各社区之间的非合作博弈关系,构建分布鲁棒博弈模型. 最后,利用线性决策理论及对偶原理求解模型. 仿真结果表明,所提分布鲁棒博弈方法可以保证博弈策略的鲁棒性,同时也克服了鲁棒优化强保守性的问题.
Abstract:
With the increasing penetration of renewable energy and the requirements of energy transition,green and low-carbon operation of energy system should be considered while ensuring the robustness of scheduling strategy. In this paper,a low-carbon robust scheduling method is proposed for community energy system which takes the uncertainty of wind power and the game relationship among multi-decision makers into consideration. Firstly,a two-stage scheduling model for each community is constructed. Secondly,the distribution information of wind power is incorporated into the two-stage model and the non-cooperative game relationship among communities is considered. Finally,the linear decision theory and duality principle are used to solve the model. Result shows that the proposed method can obtain the strategy with high robustness and overcome the strong conservatism of traditional robust optimization.

参考文献/References:

[1] 米剑锋,马晓芳. 中国CCUS技术发展趋势分析[J]. 中国电机工程学报,2019,39(9):2537-2544.
[2]ZHANG B,LI Q,WANG L,et al. Robust optimization for energy transactions in multi-microgrids under uncertainty[J]. Applied Energy,2018,217:346-360.
[3]杨策,孙伟卿,韩冬,等. 考虑风电出力不确定的分布鲁棒经济调度[J]. 电网技术,2020,44(10):3649-3655.
[4]高晓松,李更丰,肖遥,等. 基于分布鲁棒优化的电-气-热综合能源系统日前经济调度[J]. 电网技术,2020,44(6):2245-2254.
[5]张亚超,黄张浩,郑峰,等. 基于风电出力模糊集的电-气耦合系统分布鲁棒优化调度[J]. 电力系统自动化,2020,44(4):44-53.
[6]LIANG Z W,MU L H,HE C X. Robust optimal dispatch of interconnected micro-energy network based on cooperative game[J]. Journal of Renewable and Sustainable Energy,2021,13(4):046302.
[7]MEDIWATHTHE C P,SMITH D B. Game-theoretic demand-side management robust to non-ideal consumer behavior in smart grid[C]//IEEE International Symposium on Industrial Electronics 2016. Wales,Australia,2016:702-707.
[8]LIU X,GAO B,ZHU Z,et al. Non-cooperative and cooperative optimization of battery energy storage system for energy management in multi-microgrid[J]. IET Generation,Transmission & Distribution,2018,12(10):2369-2377.
[9]MOHSENIAN H,WONG S,JATSKEVICH J,et al. Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid[J]. IEEE Transactions on Smart Grid,2010,1(3):320-331.
[10]XIONG P,JIRUTITIJAROEN P,SINGH C. A distribution-ally robust optimization model for unit commitment considering uncertain wind power generation[J]. IEEE Transactions on Power Systems,2016,32(1):39-49.
[11]ALISMAIL F,XIONG P,SINGH C. Optimal wind farm allocation in multi-area power systems using distributionally robust optimization approach[J]. IEEE Transactions on Power Systems,2017,33(1):536-544.
[12]BEN-TAL A,GORYASHKO A,GUSLITZER E,et al. Adjustable robust solutions of uncertain linear programs[J]. Mathematical Programming,2004,99(2):351-376.
[13]李满兰,童小娇,孙海琳. 一类分布鲁棒线性决策随机优化研究[J]. 应用数学学报,2020,43(1):129-144.
[14]LI Z,WU W,ZHANG B,et al. A Kullback-Leibler divergence-based distributional robust optimization model for heat pump day-ahead operational schedule to improve PV integration[J]. IET Generation,Transmission & Distribution,2018,12(13):3136-3144.

备注/Memo

备注/Memo:
收稿日期:2022-01-20.
基金项目:国家自然科学基金项目(52107100)、江苏省高等学校自然科学研究面上项目(20KJB470024).
通讯作者:刘晓峰,博士,讲师,研究方向:智能配用电、博弈论. E-mail:liuxiaofeng@njnu.edu.cn
更新日期/Last Update: 1900-01-01