Calculation method of multi-regional power grid investment capacity based on debt-to- asset ratio

被引:0
|
作者
Lu, Yanchao [1 ]
Wang, Yudong [2 ]
Yang, Jiale [2 ]
Wang, Yongli [2 ]
Huang, Yujing [3 ]
机构
[1] State Grid Econ & Technol Res Inst Co Ltd, Beijing 102209, Peoples R China
[2] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[3] Inner Mongolia Power Grp CO Ltd, Hohhot 010050, Peoples R China
来源
2019 3RD INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2019) | 2019年 / 267卷
关键词
D O I
10.1088/1755-1315/267/4/042127
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the background of the new reform and regulation of electric power enterprises' operation mode, the study on the investment capacity of an electric power enterprise is becoming increasingly urgent. At the same time, the enterprises are facing problems, e.g., it is difficult to allocate investment considering that electric power systems in different areas have different investment capacities. On this basis, an assessment method for the investment capacity of a multi-area electric power system is proposed based on debt - to - asset ratio. First, the comprehensive benefits are assessed. Then, the allocation coefficients are calculated by combining asset factors and performance factors, according to which the benefits are allocated. Accordingly, the investment capacities of electric power systems in different areas are calculated based on debt - to - asset ratio. Through the analysis of a case study of one city-level electric power enterprise, the investment capacity in the future is forecasted, which can provide reference for the investment plan of the enterprise.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] An ananlytical method of abandoned wind power capacity for power grid based on hourly wind abandoning power capacity
    Ge, Weichun
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 40 (09): : 2405 - 2410
  • [22] Calculation method of power grid GIC based on apparent resistivity data
    Wang Z.
    Si Y.
    Liu L.
    Zhang C.
    Yao H.
    Chen S.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (03): : 151 - 156
  • [23] Coordinated planning model for multi-regional ammonia industries leveraging hydrogen supply chain and power grid integration: A case study of
    Liu, Haiquan
    Zhou, Suyang
    Gu, Wei
    Zhuang, Wennan
    Gao, Mingyang
    Chan, C. C.
    Zhang, Xiaoping
    APPLIED ENERGY, 2025, 377
  • [24] Research on Power Flow Calculation Method of Multi Terminal Hybrid DC Grid Based on Multiple Control Modes
    Dai Jianfeng
    Qiu Jian
    Wu Jing
    Zhang Jian
    Wang Xuesong
    Liu Qiang
    Yu Haicheng
    2018 8TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES), 2018, : 118 - 123
  • [25] Risk-based Distributed Robust Dynamic Economic Dispatch for Interconnected Multi-regional Power Systems
    Chen Z.
    Wang L.
    Guo C.
    Yang J.
    Guo Y.
    Wang S.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45 (23): : 113 - 122
  • [26] Investment portfolio based multi energy capacity allocation of virtual power plant
    Huang, Xinying
    Li, Jian
    Yang, Li
    Jiang, Jie
    Feng, Changsen
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (19): : 75 - 81
  • [27] Optimal control method of regional power grid based on elastic carrying capacity analysis and day-ahead evaluation
    Yu Zhang
    Qingsheng Li
    Energy Informatics, 8 (1)
  • [28] Calculation Method of Battery Capacity in DC Power Supply System Based on Capacity Decomposition
    Li X.
    Xie F.
    Zhang Y.
    Dianwang Jishu/Power System Technology, 2018, 42 (03): : 966 - 972
  • [29] A novel metamodel-based multi-objective optimization method using adaptive multi-regional ensemble of metamodels
    Hanfeng Yin
    Jiahui Sha
    Jun Zhou
    Xingfa Yang
    Guilin Wen
    Jie Liu
    Structural and Multidisciplinary Optimization, 2023, 66
  • [30] A multi-regional based hybrid method for assessing life cycle energy use of buildings: A case study
    Hong, Jingke
    Zhang, Xiaoling
    Shen, Qiping
    Zhang, Wanqiu
    Feng, Yong
    JOURNAL OF CLEANER PRODUCTION, 2017, 148 : 760 - 772