基于改进粒子群算法的固态变压器在电网中的配置研究

作为能源互联网的关键电气设备之一,固态变压器在可再生能源的消纳、电力灵活变换中发挥着重要作用。该文提出在系统中配置固态变压器来解决因大规模分布式电源并网造成的输电线路过载和电压过低问题。在此基础上,采用一种改进粒子群算法对固态变压器的安装位置和容量大小进行优化。最后,在一个4机12节点系统中验证了配置固态变压器能够提升新能源渗透率较高的电网的稳定性和粒子群算法解决固态变压器配置问题的有效性。

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

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.