A two-point estimate approach for energy management of multi-carrier energy systems incorporating demand response programs

被引:16
作者
Ghahramani, Mehrdad [1 ]
Nazari-Heris, Morteza [1 ,2 ]
Zare, Kazem [1 ]
Mohammadi-Ivatloo, Behnam [1 ,3 ]
机构
[1] Univ Tabriz, Fac Elect & Comp Engn, Tabriz, Iran
[2] Penn State Univ, Dept Architectural Engn, State Coll, PA 16801 USA
[3] Istanbul Ticaret Univ, Informat Technol Applicat & Res Ctr, Istanbul, Turkey
基金
美国国家科学基金会;
关键词
Coordinated operation; Integrated energy systems; Two-point estimate method; Uncertainty set; Demand response; Gas and electricity network; NATURAL-GAS NETWORKS; COMBINED HEAT; POWER; ELECTRICITY; OPTIMIZATION; OPERATION; STRATEGY; GENERATION; ALGORITHM; STORAGE;
D O I
10.1016/j.energy.2022.123671
中图分类号
O414.1 [热力学];
学科分类号
摘要
Gas-based power plants have attracted more attention in providing electrical energy worldwide because of their lower costs and air pollution. In addition, the use of multi-carrier energy systems has several advantages, such as sustainability benefits and improving performance in supplying the energy demand. This study aims to optimize the total operation cost of multi-carrier energy systems considering the uncertain parameters. The storage technology and consumption side assist the operator in achieving lower costs based on conceptions of demand response programs. Therefore, this study presents a comprehensive mathematical model for the coordinated operation of integrated multi-carrier energy systems while the operational constraints of both gas and power networks are considered. Furthermore, this paper utilizes a new uncertainty modeling method based on Hong's two-point estimate method for addressing the uncertainties of load consumption and wind generation. The proposed model is applied to a gas and power multi-carrier energy system through four case studies. The results affirm the high performance of the presented method and investigate the influence of demand response programs in both sides of energy carriers. (c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 55 条
[1]   Optimal Combined Heat and Power Economic Dispatch Using Stochastic Fractal Search Algorithm [J].
Alomoush, Muwaffaq, I .
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (02) :276-286
[2]  
[Anonymous], 2014, 11 INT C EUR EN MARK
[3]   Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions [J].
Bagheri, A. ;
Monsef, H. ;
Lesani, H. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 73 :56-70
[4]   Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty [J].
Bai, Linquan ;
Li, Fangxing ;
Cui, Hantao ;
Jiang, Tao ;
Sun, Hongbin ;
Zhu, Jinxiang .
APPLIED ENERGY, 2016, 167 :270-279
[5]   Facilitating renewables and power-to-gas via integrated electrical power-gas system scheduling [J].
Belderbos, Andreas ;
Valkaert, Thomas ;
Bruninx, Kenneth ;
Delarue, Erik ;
D'haeseleer, William .
APPLIED ENERGY, 2020, 275
[6]   Dynamic modeling and validation of a micro-combined heat and power system with integrated thermal energy storage [J].
Bird, Trevor J. ;
Jain, Neera .
APPLIED ENERGY, 2020, 271
[7]   Artificial Neural Network power manager for hybrid PV-wind desalination system [J].
Charrouf, O. ;
Betka, A. ;
Abdeddaim, S. ;
Ghamri, A. .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2020, 167 :443-460
[8]  
Chen X., 2020, ENERGY
[9]  
Cintra C.R., 2010, 2010 IEEE PES Transmission and Distribution Conference and Exposition (2010), P1
[10]   Decision tree-based security dispatch application in integrated electric power and natural-gas networks [J].
Costa, Denis C. L. ;
Nunes, Marcus V. A. ;
Vieira, Joao P. A. ;
Bezerra, Ubiratan H. .
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 141 :442-449