In recent decades, inclusion of renewable resources is considered as one of the most promising options for the long run uninterrupted power supply without depending on conventional resources. Thus, the renewable energy generation will get more attention and massive growing, so that the goal of 40% share of electricity in the worldwide energy portfolio in 2050 would be realized. But during replacement of renewable energy by conventional energy, engineers are facing a lot of problem due to solar generation, wind generation change their characteristic rapidly with weather condition, which may cause large synchronizing imbalance between different units and generate large system delay or communication delay in large interconnected grid. In this article, the authors propose linear matrix inequalities techniques to developed margin of allowable delay for delay dependent stable hybrid system. Initially, to judge the efficacy of proposed chaotic atomic search optimization (CASO) algorithm over other evolutionary algorithms with PID controller, a thermal-hydro gas system is considered. The second part of this article is motivated by the fact that proposed CASO algorithm with P-I controller is superior in contrast to bacterial foraging algorithm technique. In addition to this, some energy storage devices such as fuel cell, aqua electrolyzer, and ultra-capacitor are used to achieve a better dynamic response within specified delay margin. Moreover, to study the impact of communication delays (delay margin) due to the loss of synchronism between solar-wind (for their unpredicted environmental features) and thermal unit (nonlinearities like generation rate constraints, boiler dynamics, and governor with the dead band) are considered in thermal unit and the simulation results verify with the effectiveness of the proposed approach on providing a balance between the delay margin and the damping performances is evaluated under deregulated environment. The simulation results help to make an inter-relation between the delay margin and the controller gain (P-I) which help the system operator in designing controllers gain for stable operation of the proposed hybrid system.

中文翻译：

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在基于可再生能源的 AGC 系统中使用 LMI 技术开发 PI 控制器的 MADB，并研究其在包括储能设备在内的解除管制环境中的应用

近几十年来，纳入可再生资源被认为是在不依赖传统资源的情况下实现长期不间断供电的最有前途的选择之一。因此，可再生能源发电将得到更多关注和大规模增长，从而实现到 2050 年全球能源组合中电力占比达到 40% 的目标。但在常规能源替代可再生能源的过程中，工程师们面临着很多问题，因为太阳能发电、风力发电的特性会随着天气条件而迅速改变，这可能会导致不同单元之间存在较大的同步不平衡，并在系统中产生较大的系统延迟或通信延迟。大型互连网格。在本文中，作者提出了线性矩阵不等式技术来开发延迟依赖稳定混合系统的允许延迟裕度。最初，为了判断所提出的混沌原子搜索优化 (CASO) 算法相对于具有 PID 控制器的其他进化算法的功效，考虑了热-水气系统。本文的第二部分的动机是，与细菌觅食算法技术相比，所提出的带有 PI 控制器的 CASO 算法更优越。除此之外，一些储能装置如燃料电池、水电解槽和超级电容器被用于在指定的延迟裕度内实现更好的动态响应。而且，研究由于太阳风（由于其不可预测的环境特征）和热力单元（非线性，如发电率限制、锅炉动力学和带死区的调节器）之间失去同步而导致的通信延迟（延迟裕度）的影响在热单元中，仿真结果验证了所提出的方法在延迟裕度和阻尼性能之间取得平衡的有效性，并在解除管制的环境下进行了评估。仿真结果有助于在延迟裕度和控制器增益 (PI) 之间建立相互关系，这有助于系统操作员设计控制器增益以实现所提出的混合系统的稳定运行。和具有死区的调速器）在热单元中被考虑，并且仿真结果验证了所提出的方法在延迟裕度和阻尼性能之间提供平衡的有效性，在解除管制的环境下进行了评估。仿真结果有助于在延迟裕度和控制器增益 (PI) 之间建立相互关系，这有助于系统操作员设计控制器增益以实现所提出的混合系统的稳定运行。和具有死区的调速器）在热单元中被考虑，并且仿真结果验证了所提出的方法在延迟裕度和阻尼性能之间提供平衡的有效性，在解除管制的环境下进行了评估。仿真结果有助于在延迟裕度和控制器增益 (PI) 之间建立相互关系，这有助于系统操作员设计控制器增益以实现所提出的混合系统的稳定运行。