Optimal Dispatch and Control Strategy of Integrated Energy System Considering Multiple P2H to Provide Integrated Demand Response

被引:5
作者
Huang, Xin [1 ]
Wang, Kai [2 ]
Zhao, Mintong [1 ]
Huan, Jiajia [1 ]
Yu, Yundong [2 ]
Jiang, Kai [2 ]
Yan, Xiaohe [2 ]
Liu, Nian [2 ]
机构
[1] Grid Planning & Res Ctr Guangdong Power Grid Co L, Guangzhou, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing, Peoples R China
关键词
power-to-hydrogen; demand response; integrated energy system; interactive framework; bi-level optimization; SOLID OXIDE CELLS; PERFORMANCE ANALYSIS; MODEL VALIDATION; MANAGEMENT; OPERATION;
D O I
10.3389/fenrg.2021.824255
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the increase in multi-energy loads and renewable energy (RE) penetration, the valley-to-peak value of the electric-heat system is gradually increasing. Although the integrated energy system (IES) and power-to-hydrogen (P2H) technology are widely used to improve energy efficiency and promote the consumption of REs, the dispatch strategies for the IES with P2H to provide integrated demand response (IDR) are not investigated clearly. Thus, this paper presents an optimal dispatch strategy for the IES to provide IDR with multiple P2H technologies. Firstly, a unified mathematical model is built for describing multiple P2H technologies with joint consideration of start/shutdown and ramping constraints. Then, a bi-level P2H-coupled IDR dispatch model is built where the upper level is the IES model including P2H and hydrogen storages with consideration of electric/gas/thermal multi-energy coupling, and the lower level is a flexible user model including transferrable and reduced loads. The Karush-Kuhn-Tucker (KKT) condition and big M methods are used to reformulate the lower-level user model into several complementary relaxation constraints. Then, the whole model is transferred into a solvable single level and linearized model. Finally, the case study shows that the proposed method can improve system flexibility and effectively reduce load peak-to-valley difference. Besides, the addition of P2H and HS into the IES can further optimize the whole economic profits, energy efficiency, and ability to consume REs.
引用
收藏
页数:8
相关论文
共 50 条
[21]   Dispatch for energy efficiency improvement of an integrated energy system considering multiple types of low carbon factors and demand response [J].
Ma, Xiping ;
Liang, Yan ;
Wang, Kaiyan ;
Jia, Rong ;
Wang, Xueyan ;
Du, Haodong ;
Liu, Heng .
FRONTIERS IN ENERGY RESEARCH, 2022, 10
[22]   Optimal trading strategy for integrated energy company based on integrated demand response considering load classifications [J].
Ma, Zhoujun ;
Zheng, Yuping ;
Mu, Chenlu ;
Ding, Tao ;
Zang, Haixiang .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 128
[23]   Optimal Dispatch of Community Integrated Energy System Considering Comprehensive User Satisfaction Method [J].
Liu, Ronghui ;
Yang, Tao ;
Sun, Gaiping ;
Lin, Shunfu ;
Muyeen, S. M. ;
Ma, Tiantian .
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2022, 17 (11) :1580-1589
[24]   Low-carbon optimal operation of the integrated energy system considering integrated demand response [J].
Ji, Xiu ;
Li, Meng ;
Li, Meiyue ;
Han, Huanhuan .
FRONTIERS IN ENERGY RESEARCH, 2023, 11
[25]   Optimal operation of an integrated energy system considering integrated demand response and a dual carbon" mechanism [J].
Yun B. ;
Zhang E. ;
Zhang G. ;
Ma K. ;
Zhang B. .
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2022, 50 (22) :11-19
[26]   Optimal dispatching of integrated energy system considering complementation of carbon capture and integrated demand response [J].
Qi X. ;
Jiang Z. ;
Zhang J. ;
Hua Y. .
Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (07) :133-141
[27]   Low carbon economic dispatch of integrated energy system considering extended electric heating demand response [J].
Wu, Min ;
Xu, Jiazhu ;
Shi, Zhenglu .
ENERGY, 2023, 278
[28]   A Bi-Level Optimization Strategy for Regional Integrated Energy System Considering Correlation and Demand Response [J].
Xu, Xun ;
Shao, Zhenguo ;
Chen, Feixiong ;
Li, Zhihuang .
2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE, 2023, :488-493
[29]   Day-ahead Optimal Dispatch of an Integrated Energy System Considering Multiple Uncertainty [J].
Zhou X. ;
Zheng L. ;
Yang L. ;
Qiu Q. .
Dianwang Jishu/Power System Technology, 2020, 44 (07) :2466-2473
[30]   Optimal dispatch of multiple interconnected-integrated energy systems considering multi-energy interaction and aggregated demand response for multiple stakeholders [J].
Hua, Haochen ;
Du, Can ;
Chen, Xingying ;
Kong, Hui ;
Li, Kang ;
Liu, Zhao ;
Naidoo, Pathmanathan ;
Lv, Mian ;
Hu, Nan ;
Fu, Ming ;
Li, Bing .
APPLIED ENERGY, 2024, 376