Nowadays, the integration of hybrid renewable energy system (HRES) in grid connected load system are encouraged to increase reliability and reduce losses. The HRES system is connected to the grid system to meet required load demand and the integrated design creates the power quality (PQ) issues in the system due to non-linear load, critical load and unbalanced load conditions. Hence, in this paper, atom search optimization (ASO) with unified power quality conditioner (UPQC) is designed to solve the PQ issues in HRES system. The main objective of the work is the mitigation of PQ issues and compensate load demand in HRES system. The PQ issue problems are solved with the help of UPQC device in the system. The UPQC performance is increased by introducing fractional order proportional integral derivative (FOPID) with ASO based controller in series and shunt active power filter to mitigate PQ issues of current and voltage. Initially, HRES is designed with photovoltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS) which connected with the load system. To analysis the presentation of the proposed controller structure, the non-linear load is connected with the system to create PQ issues in the system. The PQ issues are mitigated and load demand is reimbursed with the assistance of HRES system. The proposed method is employed in the MATLAB/Simulink platform and performances were analysed. Three different cases are used to validate the performance of the proposed method such as Sag, Swell, and disturbances. Additionally, total harmonic distortion (THD) is analysed. The proposed method is compared with existing methods of proportional integral (PI) controller, gravitational search algorithm (GSA), biogeography based optimisation (BBO), grey wolf optimization (GWO), extended search algorithm (ESA), random forest algorithm (RFA) and genetic algorithm (GA).

如今，鼓励将混合可再生能源系统（HRES）集成到并网负载系统中，以提高可靠性并减少损失。HRES系统连接到电网系统，以满足所需的负载需求，并且由于非线性负载，临界负载和不平衡负载条件，集成设计在系统中产生了电能质量（PQ）问题。因此，本文设计了带有统一电能质量调节器（UPQC）的原子搜索优化（ASO）来解决HRES系统中的PQ问题。这项工作的主要目的是减轻PQ问题并补偿HRES系统中的负载需求。通过系统中的UPQC设备解决了PQ问题。通过将分数阶比例积分微分（FOPID）与基于ASO的控制器串联使用，并通过并联有源功率滤波器来减轻电流和电压的PQ问题，可以提高UPQC性能。最初，HRES被设计为具有光伏（PV）系统，风力涡轮机（WT）和与负载系统连接的电池储能系统（BESS）。为了分析所提出的控制器结构的表示，将非线性负载与系统连接以在系统中创建PQ问题。在HRES系统的帮助下，PQ问题得以缓解，负荷需求得到了补偿。该方法在MATLAB / Simulink平台上得到了应用，并对其性能进行了分析。使用三种不同的情况来验证所提出方法的性能，例如下垂，膨胀和干扰。另外，分析总谐波失真（THD）。将该方法与比例积分（PI）控制器，重力搜索算法（GSA），基于生物地理的优化（BBO），灰狼优化（GWO），扩展搜索算法（ESA），随机森林算法（RFA）的现有方法进行了比较和遗传算法（GA）。