Event-Triggered Adaptive Integral Higher-Order Sliding Mode Control for Load Frequency Problems in Multi-area Power Systems

Dev, Ark; Sarkar, Mrinal Kanti; Asthana, Pankhuri; Narzary, Daijiry

doi:10.1007/s40998-018-0078-0

Cited by 20 publications

(4 citation statements)

References 28 publications

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“…In [17], a novel robust LFC technique using equivalent input disturbance is suggested to improve the frequency regulation of the power system. Other than the robust control methods mentioned above, Intelligent [18,19], non-linear [20], MPC-based [21][22][23][24], and Event-triggered [25] controllers are among various types of controllers for frequency regulation which are suggested in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Abolpour

Javanmardi

Dehghani

et al. 2022

IET Renewable Power Gen

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This paper presents a methodology for frequency regulation in a microgrid involving renewable energy sources (RES) using a dynamic controller, which is an output feedback controller (OFC). The parameters of OFC are tuned by searching the design space of the controller. Since the RES model is not exactly known, the uncertain model is derived and the OFC is considered for it. The goal of controller tuning is to find appropriate parameters of the controller such that the norm of frequency deviations, even in presence of uncertainties in the RES parameters is minimized. An algorithm based on searching the controller design space is suggested to find the suitable controller gains. The algorithm assumes the controller parameters lie in a convex space and searches the space systematically such that an appropriate solution is found. The method is proved mathematically and two theorems are mentioned, accordingly. Finally, a simulated model of a RES is utilized for algorithm evaluation and the results demonstrate the algorithm capability in optimal frequency regulation.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Abolpour

Javanmardi

Dehghani

et al. 2022

IET Renewable Power Gen

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“…The proposed design was verified under unsystematic and ramp step disturbance with the constraints of the generation rate, dead band of the governor, renewable energy integration with IEEE 39 bus power system. To model the high order adaptive integral sliding mode control triggered by uninterrupted time events, Sarkar et al, 40 have presented the novel technique for charging frequency troubles at multi‐area power systems in parameter uncertainties and disturbances of the load. Furthermore, to achieve the need‐dependent vibration‐free control signal, the event‐triggered high‐order integral slider model control was utilized.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Hybrid technique for load frequency control of renewable energy sources with unified power flow controller and energy storage integration

Munisamy

Sundarajan

2021

Intl J of Energy Research

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In this manuscript, the load frequency control (LFC) of multiple area hybrid power system (PS) integrated with renewable energy sources (RESs) using energy storage system (ESS) is proposed. The proposed hybrid method is the joint execution of Meta-heuristic Anopheles Search Algorithm (MASA) and artificial intelligence (AI) technique and hence it is named as MASAAI technique. The main aim of the proposal is "to diminish the load frequency deviations in 3-area hybrid PS." The thyristor controlled phase shifter (TCPS) and ultra-capacitor (UC) application are used in LFC. During the operation of power system, the power distribution quality is suffered owing to continual and random changes in load. Hence, the PS control is necessary for maintaining a continual balance amid the power generation and load demand. The proportional integral derivative (PID) is agreed to LFC mode. Here, the 3-area system is incorporated with conventional RESs like solar, biomass, and fuel cell. UPFC is joined in series with tie-line, ensures the stabilization of the system and also presents more service and the quality of power is sustained by the subordinate control of super capacitor energy storage. With the help of MASAAI method, suppressing the peak value of the frequency deviation by power modulation control is a way to lessen this issue. With this proper control, the MASAAI method efficiency becomes optimum in deregulated environment that is agreed to LFC mode. Finally, the proposed method is activated in MATLAB/Simulink site and the performance is compared with existing methods. Finally, the simulation outcomes demonstrate that the efficiency of MASAAI method is more efficient compared to the existing methods. K E Y W O R D S artificial intelligence (AI) technique, frequency deviation, load frequency control, metaheuristic anopheles search algorithm (MASA)

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“…[18,19], H∞ controller, sliding mode controller, and predictive control in Ref. [20][21][22][23][24] have been applied for the LFC problem. By implementing these strategies, the performance of dynamic controllers is improved when dealing with nonlinearities and uncertainties compared to conventional methods.…”

Section: Introductionmentioning

confidence: 99%

A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system

Heidary

Rastegar

2022

Journal of Electrical Systems and Inf Technol

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This paper proposes a novel load frequency control (LFC) approach formulated on an optimal structure of the coefficient diagram method (CDM) in a two-area thermal power system. As part of a realistic analysis, nonlinearities related to governor dead band (GDB) and generation rate constraint (GRC) have been considered. In this article, a hybrid CDM method is combined with the optimization of its mathematical equations to achieve an innovative controller. Furthermore, a new metaheuristic optimization technique called the water cycle algorithm (WCA) is used to determine the optimal coefficients of the CDM controller. For the purpose of demonstrating the validity of the proposed scheme, a wide range of uncertainties in the dynamic parameters of a nonlinear power system were tested. In addition, a comparative study is presented between the results obtained from a classical integral, CDM alone, optimized fuzzy, optimized PID, and the suggested controller. In this new approach to improved control, algebraic support provides a robust and responsive controller that can provide fast and stable dynamic responses and effectively overcome the detrimental effects of nonlinearities and uncertainties in the parameters of the power system.

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Event-Triggered Adaptive Integral Higher-Order Sliding Mode Control for Load Frequency Problems in Multi-area Power Systems

Cited by 20 publications

References 28 publications

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Optimal frequency regulation in an uncertain islanded microgrid: A modified direct search algorithm

Hybrid technique for load frequency control of renewable energy sources with unified power flow controller and energy storage integration

A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system

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