基于SOCP的综合能源系统日前调度概率最优能量流

ZHANG Bowen

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基于SOCP的综合能源系统日前调度概率最优能量流

更新时间：2025-08-13

- 基于SOCP的综合能源系统日前调度概率最优能量流
- Automation of Electric Power Systems Vol. 43, Issue 6, Pages: 25-33(2019)
- 作者机构：
  
  河海大学能源与电气学院,江苏省,南京市,210098
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
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ZHANG Bowen. [J]. Automation of electric power systems, 2019, 43(6): 25-33.
DOI：

ZHANG Bowen. [J]. Automation of electric power systems, 2019, 43(6): 25-33. DOI：

摘要

随着能源危机的加重，再电气化成为破解能源发展难题的必然选择。根据电气互联综合能源系统作为再电气化的一种新思路，提出利用二阶锥规划求解综合能源系统日前优化调度概率最优能量流的方法。首先，利用电力系统、天然气系统和能源集线器构建综合能源系统日前调度概率模型；然后，将综合能源系统日前调度概率模型放缩为凸模型；接着，采用点估计法求解综合能源系统日前调度概率最优能量流；最后，利用典型算例在MATLAB上的YALMIP平台验证此算法的正确性与有效性。

Abstract

With the aggravation of energy crisis

re-electrification has become an inevitable choice to solve the problem of energy development. Taking gas-electric integrated energy system(IES)as a new way of re-electrification

second-order cone programming(SOCP)is proposed to solve the probabilistic optimal energy flow of the day-ahead dispatch of IES. Firstly

the day-ahead dispatch of IES model consists of the electric power system(EPS)

the natural gas system(NGS)and the energy hub(EH). Then

the day-ahead dispatch of IES model is changed into a convex model and the point estimation method is used to solve the probabilistic optimal energy flow of the day-ahead dispatch. Finally

a typical case study indicates that the algorithm is correct and effective on the YALMIP platform in MATLAB.

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