Open Access

ARTICLE

Optimal Scheduling for Flexible Regional Integrated Energy System with Soft Open Point

Wen Xu¹, Dongdong Ren², Biyi Yi¹, Haoqing Zhen¹, Youbing Zhang^2,*, 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.

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Keywords

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