Second-order Cone Programming Based Probabilistic Optimal Energy Flow of Day-ahead Dispatch for Integrated Energy System

被引：0
|
作者：
Zhang B. [1 ]
Sun Y. [1 ]
Zhang S. [2 ]
机构：
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] Maintenance Company of State Grid Henan Electric Power Company, Zhengzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Day-ahead dispatch; Integrated energy system; Point estimation; Probabilistic optimal energy flow; Second-order cone programming;
D O I：
10.7500/AEPS20180510004
中图分类号：
学科分类号：
摘要：
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. © 2019 Automation of Electric Power Systems Press.
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页码：25 / 33
页数：8
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