Open Access
ARTICLE
Optimal Scheduling for Flexible Regional Integrated Energy System with Soft Open Point
Wen Xu1, Dongdong Ren2, Biyi Yi1, Haoqing Zhen1, Youbing Zhang2,*, Xuesong Zhang3
1 Zhejiang Huayun Electric Power Engineering Design & Consulting Co., Ltd., Hangzhou, 310026, China
2 College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China
3 Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou, 310014, China
* Corresponding Author: Youbing Zhang. Email:
(This article belongs to the Special Issue: Artificial Intelligence in Renewable Energy and Storage Systems)
Computer Modeling in Engineering & Sciences 2022, 131(2), 1101-1123. https://doi.org/10.32604/cmes.2022.019564
Received 29 September 2021; Accepted 09 November 2021; Issue published 14 March 2022
Abstract
The Regional Integrated Energy System (RIES) has brought new modes of development, utilization, conversion,
storage of energy. The introduction of Soft Open Point (SOP) and the application of Power to Gas (P2G) technology
will greatly deepen the coupling of the electricity-gas integrated energy system, improve the flexibility and safety of
the operation of the power system, and bring a deal of benefits to the power system. On this background, an optimal
dispatch model of RIES combined cold, heat, gas and electricity with SOP is proposed. Firstly, RIES architecture
with SOP and P2G is designed and its mathematical model also is built. Secondly, on the basis of considering
the optimal scheduling of combined cold, heat, gas and electricity, the optimal scheduling model for RIES was
established. After that, the original model is transformed into a mixed-integer second-order cone programming
model by using linearization and second-order cone relaxation techniques, and the CPLEX solver is invoked to
solve the optimization problem. Finally, the modified IEEE 33-bus system is used to analyze the benefits of SOP, P2G
technology and lithium bromide absorption chillers in reducing system network loss and cost, as well as improving
the system’s ability to absorb wind and solar and operating safety.
Keywords
Cite This Article
APA Style
Xu, W., Ren, D., Yi, B., Zhen, H., Zhang, Y. et al. (2022). Optimal scheduling for flexible regional integrated energy system with soft open point. Computer Modeling in Engineering & Sciences, 131(2), 1101-1123. https://doi.org/10.32604/cmes.2022.019564
Vancouver Style
Xu W, Ren D, Yi B, Zhen H, Zhang Y, Zhang X. Optimal scheduling for flexible regional integrated energy system with soft open point. Comput Model Eng Sci. 2022;131(2):1101-1123 https://doi.org/10.32604/cmes.2022.019564
IEEE Style
W. Xu, D. Ren, B. Yi, H. Zhen, Y. Zhang, and X. Zhang "Optimal Scheduling for Flexible Regional Integrated Energy System with Soft Open Point," Comput. Model. Eng. Sci., vol. 131, no. 2, pp. 1101-1123. 2022. https://doi.org/10.32604/cmes.2022.019564