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随着能源需求的巨大增长,当前的电力系统急需适应新的要求,能将再生能源接入电网从而整合利用可再生能源.多级变频器(MLI)可在两种不同的模式下实现这个功能,即发电模式(独立模式)和补偿器模式(STATCOM).目前,对于不同工况的单一类型负荷的变化,如无功负荷的变化,优化控制器增益的研究很少.这类负荷的稳定性不好的问题急需解决.因此,一个适用的优化算法尤显重要.本文介绍了一种基于优化辅助PI控制器的七级变频器控制设计算法.在所提出的算法中,PI控制器的增益是根据系统的运行条件,通过采用混合方案,即龙形更新的灰色优化器(GD-LU),对增益进行动态调整,使参考信号与故障信号之间的误差最小,以便所提出的优化PI控制器可以获得更好的动态性能.提出的算法是灰狼优化(GWO)和蜻蜓算法(DA)的组合版本.最后,对所提出算法的性能与其他先进的模型就误差方面进行了比较和验证.“,”With the huge rise of energy demand, the power system in the current era is moving to a new standard with increased access to renewable energy sources (RESs) integrated with distribution generation (DG) network. The RESs necessitate interfaces for controlling the power generation. The multilevel inverter (MLI) can be exploited for RESs in two diverse modes, namely, the power generation mode (stand-alone mode), and compensator mode (statcom). Few works have been carried out in optimization of controller gains with the load variations of the single type such as reactive load variation in different cases. Nevertheless, this load type may be unbalanced hence, to overcome such issues. So, a sophisticated optimization algorithm is important. This paper aims to introduce a control design via an optimization assisted PI controller for a 7-level inverter. In the present technique, the gains of the PI controller are adjusted dynamically by the adopted hybrid scheme, grey optimizer with dragon levy update (GD-LU), based on the operating conditions of the system. Here, the gains are adjusted such that the error between the reference signal and fault signal should be minimal. Thus, better dynamic performance could be attained by the present optimized PI controller. The proposed algorithm is the combined version of grey wolf optimization (GWO) and dragonfly algorithm (DA). Finally, the performance of the proposed work is compared and validated over other state-of-the-art models concerning error measures.