A network-based virtual slack bus model for energy conversion units in dynamic energy flow analysis

被引:0
|
作者
HUANG YuJia [1 ]
SUN QiuYe [1 ]
WANG Rui [1 ]
LIU GuangLiang [1 ]
机构
[1] School of Information Science and Engineering, Northeastern University
基金
中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;
关键词
D O I
暂无
中图分类号
TK01 [能源]; TM73 [电力系统的调度、管理、通信];
学科分类号
摘要
Integrated energy system(IES) is a viable route to “carbon peak and carbon neutral”. As the basis and cornerstone of economic operation and security of IES, energy flow calculation(EFC) has been widely studied. Traditional EFC focuses on the single or distributed slack bus models, which results in the lack of unlimited power to maintain system operation, especially for electric power grid working in islanded or coupled mode. To deal with this problem, this paper proposes a network-based virtual-slack bus(VSB) model in EFC. Firstly, considering the anticipated growth of energy conversion units(ECUs) with power adjustment capacity, the generators and ECUs are together modeled as a virtual slack bus model to reduce the concentrated power burden of IES. Based on this model, a power sensitivity method is designed to achieve the power sharing among the ECUs, where the power can be allocated adaptively based on the network conditions. Moreover, the method is helpful to maintain the voltage and pressure profile of IES. With these changes, a dynamic energy flow analysis including virtual slack bus types is extended for IES.It can realize the assessment of the system state. Finally, simulation studies illustrate the beneficial roles of the VSB model.
引用
收藏
页码:243 / 254
页数:12
相关论文
共 50 条
  • [41] A network-based modeling framework for stakeholder analysis of China's energy conservation campaign
    Fu, Feng
    Feng, Wen
    Li, Zheng
    Crawley, Edward F.
    Ni, Weidou
    ENERGY, 2011, 36 (08) : 4996 - 5003
  • [42] Mechanical analysis Tai Chi based on energy conversion mathematical model
    Institute of Physical Education, Henan Polytechnic University, Jiaozuo 454000, China
    Wang, Q., 1600, Asian Network for Scientific Information (12):
  • [43] Local energy management: A base model for the optimization of virtual economic units
    Hildebrandt, Benjamin
    Hurink, Johann
    Manitz, Michael
    ENERGY ECONOMICS, 2024, 129
  • [44] Heating Network Quasi-dynamic Model of Multi-energy Flow System Based on Forward Method
    Qin, Xin
    Shen, Xinwei
    Wan, Guocheng
    Sheng, Tongtian
    Sun, Hongbin
    Guo, Qinglai
    Tang, Lei
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [45] Analysis of Wave Energy Conversion with Dynamic Systems Theory
    Ciortan, Sorin
    Rusu, Eugen
    2019 4TH INTERNATIONAL CONFERENCE ON ADVANCES ON CLEAN ENERGY RESEARCH (ICACER 2019), 2019, 103
  • [46] Spatiotemporal Network-Based Model for Dynamic Risk Analysis on Struck-by-Equipment Hazard
    Wang, Jun
    Razavi, Saiedeh
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2018, 32 (02)
  • [47] Quantitative analysis of a wind energy conversion model
    Zucker, Florian
    Graebner, Anna
    Strunz, Andreas
    Meyn, Jan-Peter
    EUROPEAN JOURNAL OF PHYSICS, 2015, 36 (02)
  • [48] The dynamic evaluation and optimization model for steel enterprise's energy flow network operations
    Hu, Zhichun
    Zheng, Zhong
    Hu, Kun
    Li, Cunsheng
    Yang, Yun
    ENERGY REPORTS, 2022, 8 : 2151 - 2162
  • [49] A Dynamic Model for Energy Structure Analysis
    Zhang Baosheng
    Petroleum Science, 2006, (04) : 15 - 20
  • [50] Neural Network-based Dynamic State Estimation for Fast Frequency Support using Energy Storage Systems
    Bhujel, Niranjan
    Rai, Astha
    Hummels, Donald
    Tamrakar, Ujjwol
    Tonkoski, Reinaldo
    2024 IEEE ELECTRICAL ENERGY STORAGE APPLICATION AND TECHNOLOGIES CONFERENCE, EESAT, 2024,