Optimal co-scheduling of distributed generation resources and natural gas network considering uncertainties

被引：13
|
作者：
Sheykhloei, Behrouz [1 ]
Abedinzadeh, Taher [1 ]
Mohammadian, Leila [1 ]
Mohammadi-Ivatloo, Behnam [2 ]
机构：
[1] Islamic Azad Univ, Dept Elect Engn, Shabestar Branch, Shabestar, Iran
[2] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
来源：
JOURNAL OF ENERGY STORAGE | 2019年 / 21卷
关键词：
Integrated system; Gas network; Power system; Distributed energy resources; Battery; POWER-TO-GAS; ENERGY-STORAGE DEVICES; INTEGRATED GAS; ELECTRICITY; RENEWABLES; OPERATION; SYSTEMS; IMPACT; HYDROGEN; COORDINATION;
D O I：
10.1016/j.est.2018.11.018
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
It must be noticed that renewable energy resources operation with battery is the best method of electrical load cost provision. In this regard, integrated natural gas (NG) network with power system is utilized in this paper in order to increase system reliability and reduce pressure of power generators. In fact, NG is considered as clean and available fuel in order to support power system. It is possible to connect power system and gas network by Joint Unit (JU). JUs include Natural gas-fired distributed power generators (NGDG) and Power to Gas (PtG) units. In this paper, gas-fired turbine fuel supply process is prioritized. That is, desired gas is supplied by gas wells of gas network piping entry; PtG unit will supply NGDG gas as long as electricity cost is low. After optimal scheduling, By applying mixed integrated linear programming (MILP) for integrated system and two essential factors (power not supplied and gas not supplied), system operation under load and resources fluctuation studied. Finally, appropriate location and optimum capacity of new distributed energy resources for power system or compressor for gas network are selected. 24-Bus power system with renewable resources of Photovoltaic (PV) Wind Turbine (WT), battery energy storage, with 7-node natural gas network and two gas wells integration are selected as studied case for time range of 24 h in order to analyze process numerically.
引用
收藏
页码：383 / 392
页数：10
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