Open Access

ARTICLE

Evaluating the Derivative Value of Smart Grid Investment under Dual Carbon Target: A Hybrid Multi-Criteria Decision-Making Analysis

Na Yu¹, Changzheng Gao², Xiuna Wang², Dongwei Li^2,*, Weiyang You²

1 Guangdong Power Grid Co., Ltd., Guangzhou, 510410, China
2 Electric Power Development Research Institute, China Electricity Council, Beijing, 100053, China

* Corresponding Author: Dongwei Li. Email:

Energy Engineering 2023, 120(12), 2879-2901. https://doi.org/10.32604/ee.2023.029426

Received 18 February 2023; Accepted 12 June 2023; Issue published 29 November 2023

Abstract

With the goal of “carbon peaking and carbon neutralization”, it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy. Smart grid investment has a significant driving effect (derivative value), and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core. Therefore, by analyzing the characterization of the derivative value of smart grid driven by investment, this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 indicators. Then, the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight (AEW), level based weight assessment (LBWA), and measurement alternatives and ranking according to the compromise solution (MARCOS) techniques. The results of case analysis show that for SG investment, the value of sustainable development can better reflect its derivative value, and when smart grid performs poorly in promoting renewable energy consumption, improving primary energy efficiency, and improving its own fault resistance, the driving force of its investment for future sustainable development will decline significantly, making the grid investment lack derivative value. In addition, smart grid investment needs to pay attention to the economy of investment, which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment funds. Finally, compared with three comparison models, the proposed hybrid multi-criteria decision-making (MCDM) model can better improve the decision-making efficiency on the premise of ensuring robustness.

---

Keywords

---