1.Economic & Technical Research Institute of State Grid Anhui Electric Power Co., Ltd.,Hefei230022,China;2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources;(North China Electric Power University),Beijing102206,China
In the environment of transmission and distribution electricity price reform, the profit mode of power grid enterprises has been changed. It is of great significance for the future development of power grid enterprises to improve the precision investment ability. Firstly, based on the Logistic model, this paper analyzes the development stage of city region according to the electricity consumption per capita, and introduces the adaptability of city regional economy and power grid development to revise the results. Secondly, the dynamic adjustment mechanism of transmission and distribution price is analyzed, and the evaluation model and process of power grid investment planning strategy are constructed. The differential investment strategy of power grid is designed in three typical modes, i.e., all new construction, all expansion and parallel construction. Finally, four typical cities are selected for the calculation and analysis. The results show that on the one hand, the city regions in the post-rapid development stage should adopt all new investment strategies, on the other hand, the city regions in the saturated growth stage should adopt all expansion models, and the optimal investment strategies of the city regions in the rapid growth stage should be analyzed concretely. Based on the traditional investment decision-making, the strategy of grid differentiated investment considering transmission and distribution price verification and city regional development stage can provide reference for the resource optimization of provincial power grid among cities.
YANG Na, LIU Dunnan, LIU Mingguang, et al. Differentiated Investment Strategy of Provincial Power Grid Considering Development Stage of City Region[J]. Automation of Electric Power Systems, 2020, 44(7):115-122. DOI:10.7500/AEPS20190118007.