Load frequency control of multi-source electrical power system integrated with solar-thermal and electric vehicle,International Transactions on Electrical Energy Systems

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Load frequency control of multi-source electrical power system integrated with solar-thermal and electric vehicle
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2021-05-06 , DOI: 10.1002/2050-7038.12918
Zahid Farooq ₁ , Asadur Rahman ₁ , Shameem Ahmad Lone ₁

Affiliation

Delivering reliable and adequate power to the consumer is essentially critical. Standard quality of power is measured by its frequency stability and power flow between different control areas. Therefore, power-system-control is generally attained with load-frequency-control (LFC). This paper presents the LFC of a hybrid power system comprising of conventional-thermal, solar-thermal and electric vehicle (EV). The inclusion of EVs into the utility grid, generation-rate-constraint of thermal plants and time-delay in all three control areas makes the proposed power system more realistic and a practical one. This makes the system a bit complex and requires a robust controller to function optimally. An integral-double-derivative (IDD) controller is applied for this study and the system responses are compared with those of classical controllers. The controller gains are optimized using the powerful magnetotactic bacteria optimization (MBO) technique, which find its maiden application in power system studies. MBO optimized IDD controller performs better in contrast to other classical controllers. Further, a fuzzy logic control (FLC) is developed to optimize the gains of optimal IDD controller. System dynamic responses comparison of both fuzzy optimized IDD and MBO optimized IDD controller reveals an inclination towards the performance of fuzzy optimized IDD controller. This is validated with the help of demerit index. Robustness analysis is also done to highlight the strength of IDD controller optimized with both MBO and FLC for various system changes, such as load perturbation, system loading and solar irradiance. The critical review of all these analysis infers the effective performance of fuzzy optimized IDD controller.

中文翻译：

光热电动车一体化多源电力系统负荷频率控制

为消费者提供可靠且充足的电力至关重要。电源的标准质量是通过其频率稳定性和不同控制区域之间的功率流来衡量的。因此，电力系统控制通常是通过负载频率控制 (LFC) 来实现的。本文介绍了由传统热能、太阳能热能和电动汽车 (EV) 组成的混合动力系统的 LFC。将电动汽车纳入公用电网、火力发电厂的发电率约束和所有三个控制领域的时间延迟使所提出的电力系统更加现实和实用。这使得系统有点复杂，需要一个强大的控制器才能最佳运行。本研究采用积分双微分 (IDD) 控制器，并将系统响应与经典控制器的响应进行比较。控制器增益使用强大的趋磁细菌优化 (MBO) 技术进行优化，该技术首次应用于电力系统研究。与其他经典控制器相比，MBO 优化的 IDD 控制器性能更好。此外，还开发了模糊逻辑控制 (FLC) 以优化最佳 IDD 控制器的增益。模糊优化 IDD 和 MBO 优化 IDD 控制器的系统动态响应比较揭示了对模糊优化 IDD 控制器性能的倾向。这是在记分指数的帮助下验证的。还进行了稳健性分析，以突出使用 MBO 和 FLC 优化的 IDD 控制器针对各种系统变化（例如负载扰动、系统负载和太阳辐照度）的强度。

更新日期：2021-07-02

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