This paper presents the integration of renewable energy resources into the Automatic Generation Control (AGC) of two area power system under deregulation. Area-1 includes the combination of thermal system, gas power system, aggregate Electric Vehicle (EV), and Dish-Stirling Solar Thermal system (DSTS) whereas area-2 contains thermal system, gas power system, aggregate electric vehicle, and Wind Turbine System (WTS). To achieve the realistic approach, nonlinearities such as Generation Rate Constraint (GRC), Governor Dead Band (GDB), and Boiler Dynamics (BD) are explored in proposed test system. AGC's main aim is to keep the balance between load and generation and to achieve this balance secondary frequency regulation mechanism play an important role. Therefore, a tilt proportional integral derivative controller has been used to achieve desired dynamic response of the system. A new Quasi Opposition Lion Optimization Algorithm (QOLOA) has been suggested for studied system to get the optimum values of controller and system parameters. Integral Square Error (ISE) is considered as an objective function for the optimization of the anticipated AGC mechanism. Furthermore, Hybrid Energy Storage (HES) is used to damp the oscillation of the considered AGC system. Hence, for this investigation, it consists of the hybridization of the Redox Flow Battery (RFB) and Superconducting Magnetic Energy Storage (SMES) system. Additionally, the sensitivity analysis is also performed to evaluate the robustness of the proposed QOLOA based control scheme. The suggested control mechanism is compared with previously published work on the same platform to show the effectiveness and its superiority of presented work.

本文介绍了在放松管制下将可再生能源整合到两区电力系统的自动发电控制 (AGC) 中。区域 1 包括热力系统、燃气动力系统、综合电动汽车 (EV) 和 Dish-Stirling 太阳能热系统 (DSTS) 的组合，而区域 2 包含热力系统、燃气动力系统、综合电动汽车和风力涡轮机系统 (WTS)。为了实现现实的方法，在建议的测试系统中探索了非线性，例如发电率约束 (GRC)、调速器死区 (GDB) 和锅炉动力学 (BD)。AGC 的主要目的是保持负载和发电之间的平衡，并在实现这种平衡的二次调频机制中发挥重要作用。所以，倾斜比例积分微分控制器已被用于实现系统所需的动态响应。已经为研究的系统提出了一种新的准反对狮子优化算法（QOLOA），以获得控制器和系统参数的最佳值。积分平方误差 (ISE) 被视为优化预期 AGC 机制的目标函数。此外，混合能量存储 (HES) 用于抑制所考虑的 AGC 系统的振荡。因此，对于这项研究，它包括氧化还原液流电池 (RFB) 和超导磁能储存 (SMES) 系统的混合。此外，还进行了敏感性分析以评估所提出的基于 QOLOA 的控制方案的稳健性。