Collaborative Optimal Strategy of Real-time Market Bidding and Energy Management for Integrated Energy Station on the Demand Side

被引：0
|
作者：
Yin S. [1 ]
Ai Q. [1 ]
Jiang Z. [1 ]
Sun D. [2 ]
Li X. [2 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Shanghai Jiao Tong University, Ministry of Education, Minhang District, Shanghai
[2] Economic & Technology Research Institute of State Grid Shandong Electric Power Company, Jinan
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2021年 / 41卷 / 13期
关键词：
Demand response; Integrated energy management; Multi-time scale; Real-time market bidding; Two-stage robust optimization;
D O I：
10.13334/j.0258-8013.pcsee.200951
中图分类号：
学科分类号：
摘要：
The real-time optimization strategy of the demand-side integrated energy station was related to the economic and efficient operation of the regional integrated energy system. First, the characteristic real-time scheduling models for renewable energy generators, combined heat and power units, energy storage devices and integrated demand response considering a variety of energy services were established in this paper. Second, based on the improved rolling optimization mechanism, the slow-time scale market bidding strategy and fast-time scale energy management strategy for the integrated energy station consistent with the cooperative operation relationship of multiple time scales were proposed respectively. The real-time bidding curves were generated combined with the two-stage robust optimization algorithm. Simulation results prove that the proposed real-time market bidding strategy fit well with the complex and changeable market environment. Additionally, with the application of multi-time scale rolling optimization and integrated demand response, the demand-side integrated energy station can accurately track market orders while improving overall economic benefits. © 2021 Chin. Soc. for Elec. Eng.
引用
收藏
页码：4490 / 4501
页数：11
相关论文
共 28 条
  • [1] SUN Hongbin, Energy Internet, pp. 3-7, (2020)
  • [2] WANG Weiliang, WANG Dan, JIA Hongjie, Et al., Review of steady-state analysis of typical regional integrated energy system under the background of energy internet, Proceedings of the CSEE, 36, 12, pp. 3292-3305, (2016)
  • [3] AI Qian, HAO Ran, Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system, Automation of Electric Power Systems, 42, 4, pp. 2-10, (2018)
  • [4] GU Haifei, YU Jie, LI Yang, Et al., Bi-level joint optimization economic dispatch of new-type town with multi-energy parks under environmental constraints, Proceedings of the CSEE, 40, 8, pp. 2441-2452, (2020)
  • [5] PAN Guangsheng, GU Wei, WU Zhi, Et al., Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices, Applied Energy, 239, pp. 280-295, (2019)
  • [6] CHEN Zexing, ZHANG Yongjun, CHEN Boda, Et al., Optimal day-ahead economic dispatch for district energy centre considering the price based generalized demand response, Proceedings of the CSEE, 40, 6, pp. 1873-1885, (2020)
  • [7] WANG Haiyang, LI Ke, ZHANG Chenghui, Et al., Distributed coordinative optimal operation of community integrated energy system based on Stackelberg game, Proceedings of the CSEE, 40, 17, pp. 5435-5444, (2020)
  • [8] CUI Yang, ZHANG Jiarui, WANG Zheng, Et al., Day-ahead scheduling strategy of wind-PV-CSP hybrid power generation system by considering PDR, Proceedings of the CSEE, 40, 10, pp. 3103-3113, (2020)
  • [9] LIU Wenxia, LI Zhengzhou, YANG Yue, Et al., Collaborative optimal configuration for integrated energy system considering uncertainties of demand response, Automation of Electric Power Systems, 44, 10, pp. 41-49, (2020)
  • [10] HU Jingzhe, WANG Xu, JIANG Chuanwen, Et al., Low-carbon economic dispatch of power system considering participation of integrated energy service providers, Power System Technology, 44, 2, pp. 514-521, (2020)
123