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Design of a 2-DOF-PID controller using an improved sine–cosine algorithm for load frequency control of a three-area system with nonlinearities
引用本文:Neelesh Kumar Gupt,Manoj Kumar Kar,Arun Kumar Singh. Design of a 2-DOF-PID controller using an improved sine–cosine algorithm for load frequency control of a three-area system with nonlinearities[J]. 电力系统保护与控制, 2022, 7(3): 490-507
作者姓名:Neelesh Kumar Gupt  Manoj Kumar Kar  Arun Kumar Singh
基金项目:No funding has been received for this work.
摘    要:This paper proposes an improved sine–cosine algorithm (ISCA) based 2-DOF-PID controller for load frequency control. A three-area test system is built for study, while some physical constraints (nonlinearities) are considered for the investigation of a realistic power system. The proposed method is used as the parameter optimizer of the LFC controller in different scenarios. The 2-DOF-PID controllers are used because of their capability of fast disturbance rejection without significant increase of overshoot in set-point tracking. The 2-DOF-PID controllers’ efficacy is observed by examining the responses with the outcomes obtained with PID and FOPID controllers. The simulation results with the suggested scheme are correlated with some of the existing algorithms, such as SCA, SSA, ALO, and PSO in three different scenarios, i.e., a disturbance in two areas, in three areas, and in the presence of physical constraints. In addition, the study is extended to a four-area power system. Statistical analysis is performed using the Wilcoxon Sign Rank Test (WSRT) on 20 independent runs. This confirms the supremacy of the proposed method.

关 键 词:2-DOF-PID  FOPID  Load frequency control  WSRT  Statistical analysis  Improved sine–cosine algorithm

Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review
Neelesh Kumar Gupt,Manoj Kumar Kar,Arun Kumar Singh. Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review[J]. Power System Protection and Control, 2022, 7(3): 490-507
Authors:Neelesh Kumar Gupt  Manoj Kumar Kar  Arun Kumar Singh
Abstract:Hydrogen energy is a promising renewable resource for the sustainable development of society. As a key member of the fuel cell (FC) family, the solid oxide fuel cell (SOFC) has attracted a lot of attention because of characteristics such as having various sources as fuel and high energy conversion efficiency, and being pollution-free. SOFC is a highly coupled, nonlinear, and multivariable complex system, and thus it is very important to design an appropriate control strategy for an SOFC system to ensure its safe, reliable, and efficient operation. This paper undertakes a comprehensive review and detailed summary of the state-of-the-art control approaches of SOFC. These approaches are divided into eight categories of control: proportional integral differential (PID), adaptive (APC), robust, model predictive (MPC), fuzzy logic (FLC), fault-tolerant (FTC), intelligent and observer-based. The SOFC control approaches are carefully evaluated in terms of objective, design, application/scenario, robustness, complexity, and accuracy. Finally, five perspectives are proposed for future research directions.
Keywords:Solid oxide fuel cell  Control  Hydrogen energy  Artificial intelligence  
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