Transmission Network Expansion Planning Based on Generalized Flexibility Index System

doi:10.3969/j.issn.1000-7229.2019.03.009

Abstract

Abstract: The sharp development of power generation technology involving the clean energy boosts the grid-connected proportion of clean power such as wind and solar power， 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， 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. According to the original definition of flexibility， this paper proposes a generalized 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 bilevel extended programming model of transmission network with generalized 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 and an actual system.

Key words: high proportion clean energy, uncertainty, generalized flexibility index system, bilevel programming

CLC Number:

TM 72

WANG Xi， YE Xi， TANG Quan， ZHANG Yuhong， LI Ting， LIU Wanyu， LI Huaqiang. Transmission Network Expansion Planning Based on Generalized Flexibility Index System[J]. Electric Power Construction, 2019, 40(3): 67-76.

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