逆变器并网和孤岛模式无缝切换模型预测控制
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摘要
逆变器的分布式发电(DG)系统已成为可再生能源和电网之间接口实现的较优解决方案。由于存在主电网断开的情况,DG系统中的逆变器将需要以并网和孤岛两种模式运行,分别对应交流电网的电流源和负载的电压源。此处提出一种基于模型预测控制(MPC)的逆变器并网和孤岛模式无缝切换新型控制策略。其可完成如下功能:在并网模式下实现功率解耦控制,孤岛模式下实现电压源控制和不同工作模式间的无缝切换控制。新型控制器具有简单易于实现的优点,同时对于所有运行模式,只有一个成本函数最小化问题,因此计算负担较小。最后,通过仿真和实验验证所提控制策略的性能。
Inverter-based distributed generation(DG) system has become the preferred solution for the interface between renewable energy sources and the grid.Because of the disconnection of main power grid,the inverter in DG system will need to operate in two modes:grid-connected mode and islanding mode,corresponding to the current source of the AC grid and voltage source of the load, respectively.A new control strategy based on model predictive control(MPC) for seamless switching between inverter grid-connected and islanding mode is proposed.It can accomplish the following functions : power decoupling control in grid-connected mode, voltage source control under the islanding mode and seamless switching control among different working modes.The new controller has the advantages of simplicity and ease of implementation.At the same time,for all operation modes,there is only one cost function minimization problem, so the computational burden is small.Finally, the performance of the proposed control strategy is verified by the simulation and experiment.
Inverter-based distributed generation(DG) system has become the preferred solution for the interface between renewable energy sources and the grid.Because of the disconnection of main power grid,the inverter in DG system will need to operate in two modes:grid-connected mode and islanding mode,corresponding to the current source of the AC grid and voltage source of the load, respectively.A new control strategy based on model predictive control(MPC) for seamless switching between inverter grid-connected and islanding mode is proposed.It can accomplish the following functions : power decoupling control in grid-connected mode, voltage source control under the islanding mode and seamless switching control among different working modes.The new controller has the advantages of simplicity and ease of implementation.At the same time,for all operation modes,there is only one cost function minimization problem, so the computational burden is small.Finally, the performance of the proposed control strategy is verified by the simulation and experiment.
引文
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