储能系统作为微网的功率/能量缓冲环节,对微网的稳定控制、电能质量改善和不间断供电起着重要作用,是微网安全可靠运行的关键。首先分析了微网中储能系统常用的3种控制策略,讨论了其在微网不同运行控制模式中的应用;进而设计了一种针对...储能系统作为微网的功率/能量缓冲环节,对微网的稳定控制、电能质量改善和不间断供电起着重要作用,是微网安全可靠运行的关键。首先分析了微网中储能系统常用的3种控制策略,讨论了其在微网不同运行控制模式中的应用;进而设计了一种针对电池储能系统(battery energy storage system,BESS)逆变器外环控制器的综合控制策略,能够兼具PQ控制、V/f控制和下垂控制功能,从而既可以用于主从控制的微网,也能用于对等控制的微网;同时还考虑了微网从孤岛转入并网和并网转入孤岛的双向切换过程,对设计的BESS综合控制策略进行了改进,实现了双向的平滑切换。算例结果验证了提出的综合控制策略的有效性。展开更多
In this study, a real-time control of the cart inverted pendulum system was developed using Mamdani type Fuzzy Logic Controller. Swing-up and stabilization of the inverted pendulum were implemented directly in a Fuzzy...In this study, a real-time control of the cart inverted pendulum system was developed using Mamdani type Fuzzy Logic Controller. Swing-up and stabilization of the inverted pendulum were implemented directly in a Fuzzy Logic Controller. The fuzzy logic controller was designed in the Matlab-Simulink environment and applied into in a Quasar controller board. Swing-up algorithm brings the pendulum near to its inverted position in 5 seconds from downward position. External forces were applied on the inverted pendulum to test the robustness of the fuzzy logic controller under internal as well as external disturbances. The inverted pendulum system showed an acceptable robustness to the external and internal disturbances.展开更多
文摘储能系统作为微网的功率/能量缓冲环节,对微网的稳定控制、电能质量改善和不间断供电起着重要作用,是微网安全可靠运行的关键。首先分析了微网中储能系统常用的3种控制策略,讨论了其在微网不同运行控制模式中的应用;进而设计了一种针对电池储能系统(battery energy storage system,BESS)逆变器外环控制器的综合控制策略,能够兼具PQ控制、V/f控制和下垂控制功能,从而既可以用于主从控制的微网,也能用于对等控制的微网;同时还考虑了微网从孤岛转入并网和并网转入孤岛的双向切换过程,对设计的BESS综合控制策略进行了改进,实现了双向的平滑切换。算例结果验证了提出的综合控制策略的有效性。
文摘In this study, a real-time control of the cart inverted pendulum system was developed using Mamdani type Fuzzy Logic Controller. Swing-up and stabilization of the inverted pendulum were implemented directly in a Fuzzy Logic Controller. The fuzzy logic controller was designed in the Matlab-Simulink environment and applied into in a Quasar controller board. Swing-up algorithm brings the pendulum near to its inverted position in 5 seconds from downward position. External forces were applied on the inverted pendulum to test the robustness of the fuzzy logic controller under internal as well as external disturbances. The inverted pendulum system showed an acceptable robustness to the external and internal disturbances.