An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power

被引：124

作者：

Qiao, Zheng ^{[1
]}

Guo, Qinglai ^{[1
]}

Sun, Hongbin ^{[1
]}

Pan, Zhaoguang ^{[1
]}

Liu, Yuquan ^{[2
]}

Xiong, Wen ^{[2
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Rm 3-120,West Main Bldg, Beijing 100084, Peoples R China

[2] Guangzhou Power Grid Co, Guangzhou 510620, Guangdong, Peoples R China

来源：

APPLIED ENERGY | 2017年 / 201卷

基金：

中国国家自然科学基金;

关键词：

Gas and power flow analysis; Natural gas and electricity coupled networks; Uncertainty analysis; Wind power; Interval algorithm; PROBABILISTIC LOAD-FLOW; SYSTEMS; ENERGY; FARMS; MODEL; OPTIMIZATION; STRATEGY;

D O I：

10.1016/j.apenergy.2016.12.020

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：

The wide application of renewable energy sources in power systems has a significant influence on both electrical and tightly coupled systems. The aim of this paper is to build a comprehensive system model of a natural gas and electricity coupled network. The concept of distributed stack nodes was introduced to overcome the shortcoming of adjusting active power by a single gas-fired unit to achieve power balance. On this basis, the impact of the active power output uncertainty of wind farms was studied, and the interval flow of the natural gas system was analyzed by two proposed methods. The results were compared with Monte Carlo stochastic simulation. Case studies demonstrated the effectiveness of the proposed method and led to the conclusion that the uncertainty of wind power has a significant impact on the steady-state operation of natural gas systems. Interval solutions could provide great insights into the operating and planning of coupled systems with wind power uncertainty. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：343 / 353

页数：11

共 37 条

[11] A multi-state model for wind farms considering operational outage probability [J].

Cheng, Lin ;

Liu, Manjun ;

Sun, Yuanzhang ;

Ding, Yi .

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2013, 1 (02) :177-185

[12]

Coeho P. M., 2007, J BRAZIL SOC MECH SC, VXXIX

[13] Active control of flexible structures using a fuzzy logic algorithm [J].

Cohen, K ;

Weller, T ;

Ben-Asher, JZ .

SMART MATERIALS & STRUCTURES, 2002, 11 (04) :541-552

[14] Interval radial power flow using extended DistFlow formulation and Krawczyk iteration method with sparse approximate inverse preconditioner [J].

Ding, Tao ;

Li, Fangxing ;

Li, Xue ;

Sun, Hongbin ;

Bo, Rui .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (14) :1998-2006

[15] Interval Power Flow Analysis Using Linear Relaxation and Optimality-Based Bounds Tightening (OBBT) Methods [J].

Ding, Tao ;

Bo, Rui ;

Li, Fangxing ;

Guo, Qinglai ;

Sun, Hongbin ;

Gu, Wei ;

Zhou, Gan .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) :177-188

[16]

Du Dayong, 2013, EXPERIENCE ENLIGHTEN, V16

[17] Assessment of wind power predictability as a decision factor in the investment phase of wind farms [J].

Girard, R. ;

Laquaine, K. ;

Kariniotakis, G. .

APPLIED ENERGY, 2013, 101 :609-617

[18] Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain [J].

Gonzalez-Aparicio, I. ;

Zucker, A. .

APPLIED ENERGY, 2015, 159 :334-349

[19]

Hong Lucheng, 2010, T CHINA ELECTROTECH, V25

[20] Optimal VAR Control Considering Wind Farms Using Probabilistic Load-Flow and Gray-Based Genetic Algorithms [J].

Hong, Ying-Yi ;

Luo, Yi-Feng .

IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (03) :1441-1449

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