Research on Incremental Distribution Network Investment Strategy Considering Uncertainty of Income

Youzhong Miao, Feng Zhao, Hui Li, Guangbiao Wang, Xinjian Chen, Ning Wang

2022

Abstract

In the market-oriented environment, the investment and operation of incremental distribution network faces multiple uncertainties. By analyzing the typical operation mode of incremental distribution network in China, this paper summarizes that the sources of income uncertainty of incremental distribution network mainly include power growth volatility, construction scheme, power grid investment, multi energy complementary, energy Internet construction. Finally, based on the real option theory, the investment decision-making elements of incremental distribution network under uncertain environment are proposed. This study can provide support for operators’ investment decision-making.

Paper Citation

in Harvard Style

Miao Y., Zhao F., Li H., Wang G., Chen X. and Wang N. (2022). Research on Incremental Distribution Network Investment Strategy Considering Uncertainty of Income. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 956-960. DOI: 10.5220/0011359900003440

in Bibtex Style

@conference{bdedm22,
author={Youzhong Miao and Feng Zhao and Hui Li and Guangbiao Wang and Xinjian Chen and Ning Wang},
title={Research on Incremental Distribution Network Investment Strategy Considering Uncertainty of Income},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={956-960},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011359900003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on Incremental Distribution Network Investment Strategy Considering Uncertainty of Income
SN - 978-989-758-593-7
AU - Miao Y.
AU - Zhao F.
AU - Li H.
AU - Wang G.
AU - Chen X.
AU - Wang N.
PY - 2022
SP - 956
EP - 960
DO - 10.5220/0011359900003440