Solid State Transformer Configuration in Power Grid Based on Improved Particle Swarm Optimization Algorithm

doi:10.3969/j.issn.1000－7229.2016.11.011

Abstract

Abstract: Solid state transformer is one of the key technologies of the energy internet, which plays an important role in the acceptance of renewable energy and flexible power conversion. This paper proposes that installing solid state transformers in the system can solve the problem that when large scale of distributed generators are connected into power grid, it may cause overloaded lines and low voltage buses. On this basis, this paper introduces the improved particle swarm optimization algorithm to determine the optimal location and size of solid state transformers. Finally, the simulation results in a 4 machines and 12 buses power system verify that solid state transformers can improve the stability and safety of power grid with high penetration of new energy, and it is effective to use particle swarm optimization algorithm to solve the configuration problem of solid state transformer.

Key words: energy internet, solid state transformer, distributed generator, particle swarm optimization algorithm

CLC Number:

TM 46

ZHANG Su, MIAO Hong, Zeng Chengbi. Solid State Transformer Configuration in Power Grid Based on Improved Particle Swarm Optimization Algorithm[J]. Electric Power Construction, 2016, 37(11): 71-.

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