An Analysis of Key Constraining Factors on Load Control for Power Grid Companies from the Perspective of Industrial Chain Sustainability
Year: 2026
Type: article
Abstract: In the context of high renewable energy penetration and increasing supply–demand imbalances, power grid companies face complex challenges in load control due to multiple constraints. Based on the actual operational context of power grid companies in China, this study systematically analyzes the key constraints on load control from an industrial chain perspective. First, a systematic analytical framework is constructed from an industrial chain perspective to identify the factors constraining load control in power enterprises. Then, by integrating in-depth qualitative insights with a rigorous quantitative analysis, we propose an analytical method for identifying key constraining factors using a novel interactive group Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. Finally, using Yunnan Power Grid Company in China as a case study, we identify specific constraining factors, including power generation costs, electricity pricing policies, distribution equipment capacity, and the level of grid intelligence. Based on the findings, this study proposes to establish a multi-dimensional coordination mechanism for Yunnan Power Grid, encompassing infrastructure-driven planning, policy–technology synergy, and cost-transmission optimization. This integrated approach will systematically enhance load control capabilities and support the transition toward a green, low-carbon power system.
Source: Sustainability
DOI: 10.3390/su18010528
Authors: Xiaohua Yang, Wenhua Zhang, Jiahui Tan, Yonghe Sun
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7118215937