This work primarily focuses on electrical characteristics of a hybrid power system (HPS) incorporating renewable energy generation (REG) (HPSREG). The major components of HPSREG are the resources coordinated with multi-unit of photovoltaic cells, multi-unit of wind turbine generators, a diesel engine generator (DEG), energy storage system (ESS) with diverse nature and an electric vehicle (EV). The performance characteristics of HPSREG are determined by constant generation of power from the various sources as well as varying load perturbations. As the variation in load demand will introduce fluctuation in frequency and power with constant generation. In few of overcome the frequency and power deviation under both the above-mentioned generation and load demand conditions, proper control technique is required. In order to control the deviation in frequency and power, an integration in the environment of fractional order (FO) calculus for proportional–integral–derivative (PID) controller and fuzzy controller, termed with FO-Fuzzy PID controller tuned with quasi-opposition based harmonic search (QOHS) algorithm has been proposed. The results acquired with the proposed FO-Fuzzy-PID controller are then analyzed along with FO-PID and PID controller route for quantify effectiveness for the same under the considered cases to determine the effectiveness of the algorithm undertaken. Sensitivity investigation is also conducted in order to show the strength of the technique under study of differences in HPSREG parameters of magnitude.

中文翻译：

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使用分数阶模糊控制器的基于可再生能源发电的混合电力系统控制

这项工作主要关注结合可再生能源发电 (REG) (HPSREG) 的混合动力系统 (HPS) 的电气特性。HPSREG的主要组成部分是多组光伏电池、多组风力发电机、柴油发电机（DEG）、不同性质的储能系统（ESS）和电动汽车（EV）协调的资源。HPSREG 的性能特征由各种来源的持续发电以及变化的负载扰动决定。由于负载需求的变化会在持续发电的情况下引入频率和功率的波动。为了克服上述发电和负载需求条件下的频率和功率偏差，需要适当的控制技术。为了控制频率和功率的偏差，在分数阶（FO）微积分环境中集成了比例积分微分（PID）控制器和模糊控制器，称为FO-模糊PID控制器，通过准对抗调整谐波搜索（QOHS）算法已被提出。然后，对所提出的 FO-Fuzzy-PID 控制器获得的结果以及 FO-PID 和 PID 控制器路线进行分析，以量化所考虑情况下的相同效果，从而确定所采用算法的有效性。还进行了灵敏度调查，以显示研究 HPSREG 参数幅度差异的技术的强度。