期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：227
期号：2
页码：022018
DOI：10.1088/1755-1315/227/2/022018
出版社：IOP Publishing
摘要：The sharp development of power generation technology involving the clean energy boosts the grid-connected proportion of clean power such as wind and light, whereas the randomness and volatility of their outputs contribute to the strong uncertainty of multi-space-time coupling in the power system, seriously affecting the security and stability of the power grid. Hence, the traditional grid planning has been unable to meet the needs of high proportion of grid-connected clean energy. However, the flexibility of the power system can effectively reflect the system's ability to withstand the impact of uncertainty and is of great significance to the integration of the high proportion of clean energy. Based on the original definition of flexibility, this paper proposes a flexibility index system considering supply and demand balance, grid layout and power flow distribution, and comprehensively evaluates the power system's acceptance of clean energy. Besides, a two-level extended programming model of transmission network with flexibility index system is established. The improved chaotic crossover genetic algorithm is used to solve the planning model. The feasibility and practicability of the proposed index system and planning model are verified by the simulation of the Garver-18 node system respectively.
