Hybrid renewable energy-based generation can improve the reliability in power supply. While avoiding the big cost in energy storage/battery, it is apparent that, such hybrid plants could be interlinked with the conventional power system for ensuring continuous power supply in the local area and better utilization of renewable energy sources. As generation from the renewable energy sources are intermittent, the interaction of such hybrid plants with the traditional power network can abruptly disturb the power/frequency level. Thus, devising a robust power–frequency control (PFC) scheme for the contemporary hybrid renewable interlinked power systems is highly obligatory. In this context, this paper presents a fractional-order-proportional-integral-derivative (FOPID) controller based advanced PFC scheme. Bacterial-foraging optimization (BFO) technique is adopted for computing the design parameters, namely, the controller gains and set-point weights. A typical hybrid wind- photovoltaic (PV) Plant interlinked thermal power system is modelled and simulated in order to investigate the system dynamics. Effectiveness of the proposed PFC scheme corroborated with the renewable power variations as well as load perturbation is confirmed and the results are presented.

基于混合可再生能源的发电可以提高电源的可靠性。在避免能源存储/电池的高昂成本的同时，显然，这样的混合动力工厂可以与常规电力系统互连，以确保本地连续供电并更好地利用可再生能源。由于来自可再生能源的发电是间歇性的，因此此类混合电站与传统电网的相互作用会突然干扰功率/频率水平。因此，为现代混合可再生互连电力系统设计鲁棒的功率频率控制（PFC）方案是非常必要的。在这种情况下，本文提出了一种基于分数阶比例积分微分（FOPID）控制器的高级PFC方案。采用细菌觅食优化（BFO）技术来计算设计参数，即控制器增益和设定点权重。为了研究系统动力学，对典型的混合式风-光伏（PV）电厂互联热力系统进行了建模和仿真。证实了所提出的PFC方案的有效性，该方案与可再生能源的变化以及负载扰动得到了证实，并给出了结果。