Research on the complex grid investment decision indexes system under the integrated source‑grid‑load‑storage environment

Authors

Zheliang ZHANG, Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment,Hubei University of Technology, Wuhan 430068, China
Pei XIA, Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment,Hubei University of Technology, Wuhan 430068, ChinaFollow
Xiaoxing ZHANG, Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment,Hubei University of Technology, Wuhan 430068, China
Cheng ZHANG, Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment,Hubei University of Technology, Wuhan 430068, China
Yinglun CHEN, Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment,Hubei University of Technology, Wuhan 430068, China
Shuzhen WANG, Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment,Hubei University of Technology, Wuhan 430068, China

Keywords

complex grid investment decision; source‑grid‑goad‑storage integration; index system; ANP; EWM; combined weighting method

Abstract

A complex grid investment decision indexes system is established from the single component and multiple interactions of source‑grid‑load‑storage. To take the interdependence and feedback relationships of the indexes on each side of the complex grid into account, the ANP‑EWM combined weighting method is introduced into the investment decision, considering the preferences of decision makers and the information contained in the indicators. Firstly, the unilateral indices of source, grid, load and storage in complex grids and the interaction indices considering grid‑source interaction, load‑grid interaction, source‑load interaction, source‑storage interaction, load‑storage interaction and grid‑storage interaction are proposed to establish the investment decision index system. Then, the ANP‑EWM combined weighting method is designed using game theory to assign weights to the indices. Finally, the overall utility value of the project is calculated using the distance vector merging algorithm. Taking the IEEE 39‑node system as an example, the proposed method is compared with other weighting methods to verify its effectiveness.

DOI

10.19781/j.issn.1673-9140.2023.03.001

First Page

1

Last Page

13

Recommended Citation

ZHANG, Zheliang; XIA, Pei; ZHANG, Xiaoxing; ZHANG, Cheng; CHEN, Yinglun; and WANG, Shuzhen (2023) "Research on the complex grid investment decision indexes system under the integrated source‑grid‑load‑storage environment," Journal of Electric Power Science and Technology: Vol. 38: Iss. 3, Article 1.
DOI: 10.19781/j.issn.1673-9140.2023.03.001
Available at: https://jepst.researchcommons.org/journal/vol38/iss3/1