Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming

Yonghui Sun; Bowen Zhang; Leijiao Ge; Denis Sidorov; Jianxi Wang; Zhou Xu

doi:10.17775/CSEEJPES.2019.00860

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Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming

Regular Papers | 更新时间：2025-12-19

- Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming
- Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming
- 中国电机工程学会电力与能源系统学报(英文) 2020年6卷第1期页码：142-151
- 作者机构：
  
  1. College of Energy and Electrical Engineering, Hohai University,Nanjing,China
  2. School of Electrical and Information Engineering, Tianjin University,Tianjin,China
  3. Melentiev Energy Systems Institute,Irkutsk,Russia
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.00860
  中图分类号：
- 纸质出版：2020
- 稿件说明：
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Yonghui Sun, Bowen Zhang, Leijiao Ge, 等. Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):142-151.

Yonghui Sun, Bowen Zhang, Leijiao Ge, et al. Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 142-151.
Yonghui Sun, Bowen Zhang, Leijiao Ge, 等. Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):142-151. DOI： 10.17775/CSEEJPES.2019.00860.

Yonghui Sun, Bowen Zhang, Leijiao Ge, et al. Day-ahead optimization schedule for gas-electric integrated energy system based on second-order cone programming[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 142-151. DOI： 10.17775/CSEEJPES.2019.00860.

摘要

Abstract

This paper proposes an optimal day-ahead optimization schedule for gas-electric integrated energy system (IES) considering the bi-directional energy flow. The hourly topology of electric power system (EPS)

natural gas system (NGS)

energy hubs (EH) integrated power to gas (P2G) unit

are modeled to minimize the day-ahead operation cost of IES. Then

a second-order cone programming (SOCP) method is utilized to solve the optimization problem

which is actually a mixed integer nonconvex and nonlinear programming issue. Besides

cutting planes are added to ensure the exactness of the global optimal solution. Finally

simulation results demonstrate that the proposed optimization schedule can provide a safe

effective and economical day-ahead scheduling scheme for gas-electric IES.

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