Consensus-based low-carbon economic dispatching of integrated energy systems

被引:0
|
作者
He W. [1 ]
Chen Z. [1 ,2 ,3 ]
Hu F. [1 ,2 ,3 ]
Jing S. [1 ]
Gu M. [1 ,2 ,3 ]
机构
[1] Suzhou University of Science and Technology, Suzhou
[2] Suzhou Key Laboratory of Intelligent Low Carbon Technology and Application, Suzhou
[3] Jiangsu Province Industrial Low Carbon Technology Engineering Research Center, Suzhou
基金
中国国家自然科学基金;
关键词
carbon trading mechanism; consistency algorithm; incremental cost; integrated energy system (IES); low carbon economic dispatch;
D O I
10.19783/j.cnki.pspc.221951
中图分类号
学科分类号
摘要
Integrated energy system (IES) are an effective way to solve energy loss and environmental pollution problems. A consensus-based distributed dispatching method is studied to realize economical operation and the environmental protection of IES. First, a stepped carbon trading mechanism is studied, where a non-linear cost coefficient that increases with the carbon emission interval is designed to construct the carbon trading cost function. In this way, the amount of carbon emission is limited. Second, the power loss problem in the energy transmission process is considered, and a supply-demand balance constraint that combines energy demand and transmission loss is constructed. Third, the incremental costs of electricity, heat, and gas supply units are considered as the consensus variables. Then, a leader-following consensus algorithm is designed to perform the distributed scheduling of the IES, thus realizing the optimal output of energy supply for each unit. Finally, the effectiveness of the proposed low-carbon economic dispatching strategy is verified with some numerical experimental cases. © 2023 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码:42 / 53
页数:11
相关论文
共 36 条
  • [1] NIZAMI M S H, HOSSAIN M J, FERNANDEZ E., Multiagent-based transactive energy management systems for residential buildings with distributed energy resources, IEEE Transactions on Industrial Informatics, 16, 3, pp. 1836-1847, (2019)
  • [2] YAN Mengyang, LI Huaqiang, WANG Junxiang, Et al., Optimal operation model of a park integrated energy system considering uncertainty of integrated demand response, Power System Protection and Control, 50, 2, pp. 163-175, (2022)
  • [3] LI Zhengjie, HAN Aoyang, ZHOU Shengqi, Et al., Optimization of an integrated energy system considering integrated demand response, Power System Protection and Control, 49, 21, pp. 36-42, (2021)
  • [4] LU XiaoJun, WANG Jun, LIU Gang, Et al., Station-and-network-coordinated planning of integrated energy system considering integrated demand response, Global Energy Interconnection, 4, 1, pp. 39-47, (2021)
  • [5] YANG Yi, YI Wenfei, WANG Chenqing, Et al., Low-carbon economic dispatching of park integrated energy system applying carbon emission flow theory, Electric Power Construction, 43, 11, pp. 33-41, (2022)
  • [6] DING Bin, XING Zhikun, WANG Fan, Et al., Collaborative optimal scheduling of integrated smart energy system considering multi-load demand response, Journal of Global Energy Interconnection, 5, 6, pp. 583-592, (2022)
  • [7] QU Xiaoyun, WU Ming, LI Qi, Et al., Review on comprehensive evaluation of multi-energy complementary integrated energy systems, Electric Power, 54, 11, pp. 153-163, (2021)
  • [8] YAN Siyun, WANG Chen, ZHOU Dengji, Optimization of integrated electricity and gas system considering hydrogen-natural-gas mixture transportation, Electric Power Engineering Technology, 40, 1, pp. 10-16, (2021)
  • [9] ZHU Haohao, ZHU Jizhong, LI Shenglin, Et al., Overview of optimal scheduling of integrated electrical-thermal energy systems, Journal of Global Energy Interconnection, 5, 4, pp. 383-397, (2022)
  • [10] ZHANG Mingguang, WANG Wenting, CHEN Dawei, Optimal dispatching of multi-regional integrated energy system based on cooperative game, Smart Power, 50, 10, pp. 102-108, (2022)