In this article, a control scheme based on chicken swarm optimizer (CSO) in cooperation with adaptive virtual-inertia control (AVIC) is investigated. The proposed control scheme aims at improving the frequency stability of an interconnected power system which is penetrated by renewable energy sources. The CSO is applied to produce the best values of the gains of the adapted standard proportional-integral-derivative (PID) controllers and required parameters of AVICs. Various scenarios are addressed in this study such as applications of sudden step load disturbances and severe variations in the inertia of the system. In addition, realistic conditions such as uncertainties of tidal power source and random load disturbances are demonstrated. Compulsory assessments with subsequent discussions to evaluate the results of the CSO are made. The proposed CSO–AVIC based control method is verified by comparisons with well-matured interesting algorithms such as differential evolution and particle swarm optimizers. Various quality specifications of the dynamic responses and the demonstrated results indicate clearly the viability of the proposed CSO–AVIC based on control scheme. It can be emphasized that the utilization of AVIC along with PID controllers are significantly improved the system dynamic performances and their dynamic response specifications meet the terms of standard acceptable criteria’s.

本文研究了一种基于鸡群优化器（CSO）和自适应虚拟惯性控制（AVIC）的控制方案。所提出的控制方案旨在改善可再生能源渗透的互连电力系统的频率稳定性。应用CSO来产生适配标准比例积分微分（PID）控制器的增益和中航工业所需参数的最佳值。本研究解决了各种情况，例如突然的阶跃负载扰动的应用以及系统惯性的严重变化。此外，还演示了诸如潮汐源不确定性和随机负载干扰之类的现实条件。进行了强制性评估，随后进行了讨论以评估CSO的结果。通过与成熟的有趣算法（例如差分进化和粒子群优化器）进行比较，验证了所提出的基于CSO–AVIC的控制方法。动态响应的各种质量规范和已证明的结果清楚地表明了基于控制方案的CSO-AVIC提议的可行性。可以强调的是，中航工业与PID控制器一起使用大大改善了系统的动态性能，其动态响应规格符合标准可接受标准的条款。动态响应的各种质量规范和已证明的结果清楚地表明了基于控制方案的CSO-AVIC提议的可行性。可以强调的是，中航工业与PID控制器一起使用大大改善了系统的动态性能，其动态响应规格符合标准可接受标准的条款。动态响应的各种质量规范和已证明的结果清楚地表明了基于控制方案的CSO-AVIC提议的可行性。可以强调的是，中航工业与PID控制器一起使用大大改善了系统的动态性能，其动态响应规格符合标准可接受标准的条款。