电力建设2016，Vol.37Issue(11)：71-77,7.DOI:10.3969/j.issn.1000-7229.2016.11.011
基于改进粒子群算法的固态变压器在电网中的配置研究
Solid State Transformer Configuration in Power Grid Based on Improved Particle Swarm Optimization Algorithm
摘要
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.关键词
能源互联网/固态变压器/分布式电源/粒子群算法Key words
energy internet/solid state transformer/distributed generator/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
张甦,苗虹,曾成碧..基于改进粒子群算法的固态变压器在电网中的配置研究[J].电力建设,2016,37(11):71-77,7.基金项目
国家重点基础研究发展计划项目 ( 973 计划) (2012CB215200) （ 973 计划）
四川省科技支撑项目(2014GZ0069) （2014GZ0069）
成都市科技局项目(2015-HM01-00535-SF) （2015-HM01-00535-SF）
四川省科技厅项目(能源互联网中固态变换器关键技术研究) Project supported by the National Basic Research Program of China (973 Program) (2012CB215200) （能源互联网中固态变换器关键技术研究）
