Current standardized design of power transmission and transformation projects faces challenges in constructing a technical and economic indicator system, including a lack of detailed sub-project module division, insufficient quantitative analysis of key technical parameters, and weak correlation between cost indicators and design schemes. These issues hinder design optimization and cost control. Drawing on the "State Grid Corporation of China 35-750 kV Transmission and Transformation Project General Design and General Equipment Application Catalog (2024 Edition)" and other specifications, this paper examines typical standardized design schemes for substation and overhead line projects of varying voltage levels in Fujian Province, analyzes key technical parameters influencing project quantities, and constructs a technical and economic indicator system covering sub-modules such as major equipment foundations, installation and commissioning, cable laying, and tower foundation assembly. A particle swarm optimization (PSO) algorithm is used to model and optimize the scheme combinations. By setting constraints such as voltage level, transformer capacity, main connection type, conductor type, and meteorological conditions, the optimal technical parameter combination is iteratively sought to achieve a multi-objective balance between cost and performance. Taking the 220kV substation project as an example, after optimization in this paper, the main transformer foundation engineering volume is reduced from 350.5m³ to 321.2m³, and the unit cost is reduced from 1750 yuan/m³ to 1660 yuan/m³. The optimized line project also reduces the overall unit length investment by 4.5%, significantly improving the economics and applicability of standardized design. The research results have resulted in a reference manual of technical and economic indicators for substation and line projects, providing scientific support for standardized design and cost control of transmission and transformation projects.
Ke et al. (Thu,) studied this question.