A Multi-Rate Dynamic Energy Flow Analysis Method for Integrated Electricity-Gas-Heat System With Different Time-Scale

被引:23
作者
Huang, Yujia [1 ]
Sun, Qiuye [1 ]
Li, Yushuai [1 ,2 ]
Gao, Wei [3 ]
Gao, David Wenzhong [3 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Univ Oslo, Dept Informat, N-0316 Oslo, Norway
[3] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80208 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Next generation networking; Pipelines; Power system dynamics; Mathematical models; Adaptation models; Resistance heating; Natural gas; Adaptive discretization method; dynamic energy flow; finite difference; integrated energy system; multi-time scale; NATURAL-GAS; STEADY-STATE; POWER; GENERATION; MODEL;
D O I
10.1109/TPWRD.2022.3186762
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The integrated energy system (IES) combined electric power grid, natural gas network (NGN) and district heating network (DHN) is widely concerned because of its high efficiency and environmentally friendly. The accurate energy flow calculation of IES is the key to simulation analysis, operation optimization and control. This paper studies the dynamic energy flow of IES considering the different time-scale among the electric power, heat and gas networks. Firstly, a discretization method based on the delay characteristics of pipelines for DHN is proposed. By using this method, the selected temporal and spatial step sizes can be adaptively selected for thermal dynamic equation with application to different networks. Secondly, a discretization method for NGN is developed by considering the temporal step size of DHN as sampling period, so that the data interactions between two slow dynamic systems can be addressed in a same time series. Thirdly, a multi-rate energy flow calculation method with different temporal step sizes is presented for IES, which integrates the NGN and DHN considering different time-scale features to retain the state of IES as intact as possible. Simulation results illustrate the effectiveness of the proposed method, which provides dispatchers with more decision-making information.
引用
收藏
页码:231 / 243
页数:13
相关论文
共 36 条
[1]  
Alderete GB, 2021, IEEE POWER ENERGY M, V19, P28, DOI [10.1109/mpe.2020.3043612, 10.1109/MPE.2020.3043612]
[2]   Impact of Strategic Deployment of CHP-Based DERs on Microgrid Reliability [J].
Basu, Ashoke Kumar ;
Chowdhury, Sunetra ;
Chowdhury, S. P. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2010, 25 (03) :1697-1705
[3]   Security-Constrained Optimal Power and Natural-Gas Flow [J].
Correa-Posada, Carlos M. ;
Sanchez-Martin, Pedro .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) :1780-1787
[4]   The gas transmission problem solved by an extension of the simplex algorithm [J].
De Wolf, D ;
Smeers, Y .
MANAGEMENT SCIENCE, 2000, 46 (11) :1454-1465
[5]   Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow [J].
Duquette, Jean ;
Rowe, Andrew ;
Wild, Peter .
APPLIED ENERGY, 2016, 178 :383-393
[6]  
ee.washington, 57 IEEE
[7]   Dynamic Optimal Energy Flow in the Integrated Natural Gas and Electrical Power Systems [J].
Fang, Jiakun ;
Zeng, Qing ;
Ai, Xiaomeng ;
Chen, Zhe ;
Wen, Jinyu .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (01) :188-198
[8]   Theoretical model to calculate steady-state and transient ampacity and temperature in buried cables [J].
Garrido, C ;
Otero, AF ;
Cidrás, J .
IEEE TRANSACTIONS ON POWER DELIVERY, 2003, 18 (03) :667-678
[9]  
Heller A, 2000, R040 TECH U DENM DEP
[10]   Resilience Oriented Planning of Urban Multi-Energy Systems With Generalized Energy Storage Sources [J].
Huang, Wujing ;
Zhang, Xi ;
Li, Kangping ;
Zhang, Ning ;
Strbac, Goran ;
Kang, Chongqing .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (04) :2906-2918