Work

A survey on investment efficiency-oriented power grid infrastructure planning

Year: 2025

Type: article

Abstract: This paper proposes an investment efficiency-oriented strategy for power grid infrastructure planning with high penetration of renewable energy sources. First, a multi-objective investment portfolio optimization model based on data envelopment analysis is proposed to improve the cost efficiency of power grid infrastructure planning. Then, an evolutionary algorithm based on super-efficiency hyperplane projection transformation is developed to obtain the optimal Pareto frontier of the multi-objective investment portfolio. Furthermore, a super-efficiency envelope model with non-radial relaxation variables is formulated to identify an optimal investment efficiency-oriented solution from the Pareto frontier set. Comparative case studies have been implemented to demonstrate the superior performance of the proposed strategy for investment efficiency enhancement of power grid infrastructure planning.

Source: Frontiers in Energy Research

DOI: 10.3389/fenrg.2025.1561763

Authors: Qiang Wu, Ming Zhou, Jiong Yan, Zixia Sang, Sicong Wang

Institutions: State Grid Corporation of China (China), State Grid Hubei Electric Power Co., Ltd. (China)

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,077