Operational efficiency analysis of China's electric power industry using a dynamic network slack-based measure model. (15th July 2022)

• Record Type: Journal Article
• Authors: Meng, Ming; Pang, Tingting
• Is Part Of: Energy. Volume 251(2022)
• Publication Date: 2022-07-15
• Subjects: Electric power industry -- Operational efficiency -- Network structure -- Slack-based measure -- China; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2022.123898
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Operational efficiency analysis is the foundational work for the management policy adjustment of the electric power industry in China and many other countries, but it is difficult to conduct because of the system complexity. This research uses a network structure to simulate the operating process of this industry. Through introducing the dynamic slack-based measure algorithm into this structure, the operational efficiencies of the entire industry and each stage (power generation and transmission–distribution) in each period are evaluated. On this basis, extended methods are also designed to measure the factor efficiency and the technological gap of each group. The model is applied to China's electric power industry, and the following conclusions are drawn: (I) The operational efficiency levels of provinces and regions are relatively different. (II) Generally, the operational efficiency of the generation stage is significantly lower than that of the transmission–distribution stage. (III) Factors with efficiencies ranked from highest to lowest are capital, labor, and energy. (IV) Major policy implications include breaking down the barriers to prompt interprovincial electricity transmission, developing the energy storage industry, implementing the flexibility transformation of thermal power units, and reducing the cross subsidy to the residual electricity consumption. Graphical abstract: Image 1 Highlights: A dynamic network structure is used for operational efficiency analysis. Extended methods are designed to measure the factor efficiency and the group gap. The model is applied to China's electric power industry. Key policy directions to improve the operational efficiency are recognized.