上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (9): 1126-1136.doi: 10.16183/j.cnki.jsjtu.2022.378
所属专题: 《上海交通大学学报》2023年“新型电力系统与综合能源”专题
姜恩宇1(), 陈宇1, 施峥靖2, 吴哲城1, 林顺富1, 李东东1
收稿日期:
2022-09-29
修回日期:
2022-12-24
接受日期:
2022-12-29
出版日期:
2023-09-28
发布日期:
2023-10-01
作者简介:
姜恩宇(1981-),讲师,从事微电网技术和配电网自动化技术研究;E-mail:基金资助:
JIANG Enyu1(), CHEN Yu1, SHI Zhengjing2, WU Zhecheng1, LIN Shunfu1, LI Dongdong1
Received:
2022-09-29
Revised:
2022-12-24
Accepted:
2022-12-29
Online:
2023-09-28
Published:
2023-10-01
摘要:
为了减小微电网运行中可再生能源随机性和波动性造成的预测出力误差,提出考虑碳配额引导需求响应的微电网能量管理策略.构建两层模型预测控制(MPC)的能量管理模型,上层利用长时间尺度模型预测控制构建碳排放配额机制,引导电动汽车参与微电网的需求响应,实现微电网经济运行,降低碳排放量;下层使用MPC滚动优化和反馈校正来实现预测域与控制域之间的耦合,利用短时间尺度模型预测控制平抑可再生能源预测误差造成的功率波动.算例分析结果表明:所提能量管理策略能够有效引导电动汽车或其他可控负荷参与需求响应,实现微电网低碳经济调度和稳定运行.
中图分类号:
姜恩宇, 陈宇, 施峥靖, 吴哲城, 林顺富, 李东东. 考虑碳配额引导需求响应的微电网能量管理策略[J]. 上海交通大学学报, 2023, 57(9): 1126-1136.
JIANG Enyu, CHEN Yu, SHI Zhengjing, WU Zhecheng, LIN Shunfu, LI Dongdong. A Microgrid Energy Management Strategy Considering Carbon Quota Guided Demand Response[J]. Journal of Shanghai Jiao Tong University, 2023, 57(9): 1126-1136.
[1] |
ZHANG D, ZHANG Q, QI S Z, et al. Integrity of firms’ emissions reporting in China’s early carbon markets[J]. Nature Climate Change, 2019, 9(2): 164-169.
doi: 10.1038/s41558-018-0394-4 |
[2] | 中华人民共和国国家发展和改革委员会. 碳排放权交易管理暂行办法[EB/OL]. (2014-12-10)[2022-09-04]. http://www.gov.cn/gongbao/content/2015/content_2818456.htm. |
National Development and Reform Commission of the People’s Republic of China. Interim measures for the administration of carbon emissions trading[EB/OL]. (2014-12-10)[2022-09-04]. http://www.gov.cn/gongbao/content/2015/content_2818456.htm. | |
[3] | 冯昌森, 谢方锐, 文福拴, 等. 基于智能合约的绿证和碳联合交易市场的设计与实现[J]. 电力系统自动化, 2021, 45(23):1-11. |
FENG Changsen, XIE Fangrui, WEN Fushuan, et al. Design and implementation of joint trading market for green power certificate and carbon based on smart contract[J]. Automation of Electric Power Systems, 2021, 45(23):1-11. | |
[4] | 曾鸣, 马向春, 杨玲玲. 电力市场碳排放权可调分配机制设计与分析[J]. 电网技术, 2010, 34(5): 141-145. |
ZENG Ming, MA Xiangchun, YANG Lingling. Design and analysis of adjustable allocation mechanism of carbon emission rights in electricity market[J]. Power System Technology, 2010, 34(5): 141-145. | |
[5] | 张程飞, 袁越, 张新松, 等. 考虑碳排放配额影响的含风电系统日前调度计划模型[J]. 电网技术, 2014, 38(8): 2114-2120. |
ZHANG Chengfei, YUAN Yue, ZHANG Xinsong, et al. Day-ahead dispatching scheduling for power grid integrated with wind farm considering influence of carbon emission quota[J]. Power System Technology, 2014, 38(8): 2114-2120. | |
[6] | 陈冉, 杨超, 沈冰, 等. 基于微电网的需求响应优化策略[J]. 电力系统保护与控制, 2018, 46(11): 124-130. |
CHEN Ran, YANG Chao, SHEN Bing, et al. Micro-grid based demand response optimization policy[J]. Power System Protection & Control, 2018, 46(11): 124-130. | |
[7] | 李咸善, 陈敏睿, 程杉, 等. 基于双重激励协同博弈的含电动汽车微电网优化调度策略[J]. 高电压技术, 2020, 46(7): 2286-2295. |
LI Xianshan, CHEN Minrui, CHENG Shan, et al. Research on optimal scheduling strategy of microgrid with electric vehicles based on dual incentive cooperative game[J]. High Voltage Engineering, 2020, 46(7): 2286-2295. | |
[8] | 王文彬, 郑蜀江, 范瑞祥, 等. “双碳”背景下微网分布式电能交易绩效评价指标与方法[J]. 上海交通大学学报, 2022, 56(3): 312-324. |
WANG Wenbin, ZHENG Shujiang, FAN Ruixiang, et al. Performance evaluation index and method of micro-grid distributed electricity trading under the background of “carbon peaking and carbon neutrality”[J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 312-324. | |
[9] | 江海啸, 郑毅, 李少远, 等. 微网优化控制研究现状及智能化即插即用趋势与策略[J]. 上海交通大学学报, 2017, 51(9): 1097-1103. |
JIANG Haixiao, ZHENG Yi, LI Shaoyuan, et al. Operational optimization of micro-grid control: A brief introduction and an intelligent plug-and-play control strategy[J]. Journal of Shanghai Jiao Tong University, 2017, 51(9): 1097-1103. | |
[10] | 包宇庆, 王蓓蓓, 李扬, 等. 考虑大规模风电接入并计及多时间尺度需求响应资源协调优化的滚动调度模型[J]. 中国电机工程学报, 2016, 36(17): 4589-4599. |
BAO Yuqing, WANG Beibei, LI Yang, et al. Rolling scheduling model considering large-scale wind power access and multi-time scale demand response resource coordination optimization[J]. Proceedings of the CSEE, 2016, 36(17): 4589-4599. | |
[11] |
WANG Z Y, CHEN B K, WANG J H, et al. Coordinated energy management of networked microgrids in distribution systems[J]. IEEE Transactions on Smart Grid, 2015, 6(1): 45-53.
doi: 10.1109/TSG.2014.2329846 URL |
[12] | 郭思琪, 袁越, 张新松, 等. 多时间尺度协调控制的独立微网能量管理策略[J]. 电工技术学报, 2014, 29(2): 122-129. |
GUO Siqi, YUAN Yue, ZHANG Xinsong, et al. Energy management strategy of isolated microgrid based on multi-time scale coordinated control[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 122-129. | |
[13] | 肖斐, 艾芊. 基于模型预测控制的微电网多时间尺度需求响应资源优化调度[J]. 电力自动化设备, 2018, 38(5): 184-190. |
XIAO Fei, AI Qian. Multiple time-scale optimal dispatch of demand response resource for microgrid based on model predictive control[J]. Electric Power Automation Equipment, 2018, 38(5): 184-190. | |
[14] | 吴鸣, 骆钊, 季宇, 等. 基于模型预测控制的冷热电联供型微网动态优化调度[J]. 中国电机工程学报, 2017, 37(24): 7174-7184. |
WU Ming, LUO Zhao, JI Yu, et al. Dynamic optimal scheduling of cogeneration microgrid based on model predictive control[J]. Proceedings of the CSEE, 2017, 37(24): 7174-7184. | |
[15] | 吴岩, 王玮, 吴学智, 等. 微电网跟踪调度计划双层双时间尺度实时控制策略[J]. 电力自动化设备, 2021, 41(1): 120-127. |
WU Yan, WANG Wei, WU Xuezhi, et al. Two-layer double-time scale real-time control strategy of microgrid for tracking scheduling plan[J]. Electric Power Automation Equipment, 2021, 41(1): 120-127. | |
[16] | 朱兰, 田泽清, 唐陇军, 等. 计及细节层次直接负荷控制的区域综合能源系统多时间尺度优化调度[J]. 电网技术, 2021, 45(7): 2763-2772. |
ZHU Lan, TIAN Zeqing, TANG Longjun, et al. Multi-time scale optimal scheduling of regional comprehensive energy system considering direct load control at detail level[J]. Power System Technology, 2021, 45(7): 2763-2772. | |
[17] | 李俊, 刘小宁, 张广明. 微网中电能质量调节器的稳定性及其容量分析[J]. 上海交通大学学报, 2011, 45(8): 1240-1245. |
LI Jun, LIU Xiaoning, ZHANG Guangming. Stability and capacity analysis of power quality regulator in microgrid[J]. Journal of Shanghai Jiao Tong University, 2011, 45(8): 1240-1245. | |
[18] | 翁智雄, 马中, 刘婷婷. 碳中和目标下中国碳市场的现状、挑战与对策[J]. 环境保护, 2021, 49(16): 20-24. |
WENG Zhixiong, MA Zhong, LIU Tingting. Research on the development, challenge, and countermeasures for China’s carbon market under the target of carbon neutrality[J]. Environmental Protection, 2021, 49(16): 20-24. | |
[19] |
VARAIYA P P, WU F F, BIALEK J W. Smart operation of smart grid: Risk-limiting dispatch[J]. Proceedings of the IEEE, 2011, 99(1): 40-57.
doi: 10.1109/JPROC.2010.2080250 URL |
[20] | 苏磊, 李振坤, 张智泉, 等. 基于机会约束规划的综合能源微网群协调运行策略研究[J]. 电力系统保护与控制, 2021, 49(14): 123-131. |
SU Lei, LI Zhenkun, ZHANG Zhiquan, et al. A coordinated operation strategy for integrated energy microgrid clusters based on chance-constrained programming[J]. Power System Protection & Control, 2021, 49(14): 123-131. | |
[21] | 杨国清, 罗航, 王德意, 等. 分时电价与电动汽车优化调度的主从博弈模型[J]. 电力系统及其自动化学报, 2018, 30(10): 55-60. |
YANG Guoqing, LUO Hang, WANG Deyi, et al. Leader-follower game model of time-of-use electricity price and optimized plug-in electric vehicle dispatching[J]. Proceedings of the CSU-EPSA, 2018, 30(10): 55-60. | |
[22] | DROUILHET S, JOHNSON B, DROUILHET S, et al. A battery life prediction method for hybrid power applications[C]//35th Aerospace Sciences Meeting and Exhibit. Reno, USA: AIAA, 1997: 970948. |
[23] | 栗然, 党磊, 董哲, 等. 分时电价与风储联合调度协调优化的主从博弈模型[J]. 电网技术, 2015, 39(11): 3247-3253. |
LI Ran, DANG Lei, DONG Zhe, et al. Coordinated optimization of time-of-use price and dispatching model combining wind power and energy storage under guidance of master-slave game[J]. Power System Technology, 2015, 39(11): 3247-3253. | |
[24] |
HAN S, HAN S, AKI H. A practical battery wear model for electric vehicle charging applications[J]. Applied Energy, 2014, 113: 1100-1108.
doi: 10.1016/j.apenergy.2013.08.062 URL |
[25] | Energy Market Company. Price information[EB/OL]. (2014-05-07)[2022-09-04]. https://www.emcsg.com/marketdata/priceinformation#priceDataView. |
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