Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Research on the multi-scenario control strategy of an active distribution network based on Rotary Power Flow controller

Shi MingmingPower Science Research Institute of State Grid Jiangsu Electric Power Co. Ltd., Jiangsu Electric Power Company, Beijing West Road, Gulou District, Nanjing City, Jiangsu Province 210024, ChinaJun MaState Grid Jiangsu Electric Power Co. Ltd., 215 Shanghai Road, Gulou District, Nanjing City, Jiangsu Province 210024, ChinaXiaolong XiaoPower Science Research Institute of State Grid Jiangsu Electric Power Co. Ltd., Jiangsu Electric Power Company, Beijing West Road, Gulou District, Nanjing City, Jiangsu Province 210024, ChinaFan WuPower Science Research Institute of State Grid Jiangsu Electric Power Co. Ltd., Jiangsu Electric Power Company, Beijing West Road, Gulou District, Nanjing City, Jiangsu Province 210024, China
2024en
ABI

Аннотация

Aiming at the problems of complex power distribution and difficult adjustment in the active power distribution network, a low-cost, harmonic-free, and low-loss electromagnetic Rotating Power Flow Controller (RPFC) scheme is proposed. First, the topology, working principle, and equivalent circuit of RPFC are introduced, the steady-state characteristics of RPFC are studied, and a steady-state voltage source model containing RPFC lines is established. On this basis, in order to solve problems such as voltage over the limit, phase angle difference, line flexible closed-loop closing, and power control in the active distribution network, an RPFC rotor angle solution strategy based on the improved Multi-Scenario Adaptive Genetic Algorithm (MAGA) was proposed. Taking the actual network as a case, a specific algorithm model was established based on Matlab/Simulink, and compared with the RPFC system under traditional PI control. The results show that using MAGA as the control algorithm enables RPFC to have better performance in voltage regulation and power flow control scenarios. In the voltage regulation scenario, MAGA-RPFC saves 1.5 s of regulation time compared with traditional PI-RPFC. In the power control scenario, the adjustment time is saved by 18.2 s. At the same time, the simulation results show that RPFC can effectively solve the voltage regulation, flexible closed-loop, and power regulation problems in active distribution networks, and has broad application prospects.

Перевод пока недоступен

Идентификаторы

Цитирования и источники

Цитирований: 2Использованных источников: 0