Energy management of controllable loads in multi-area power systems with wind power penetration based on new supervisor fuzzy nonlinear sliding mode control

Elsisi, Mahmoud; Bazmohammadi, Najmeh; Guerrero, Josep M.; Ebrahim, Mohamed A.

doi:10.1016/j.energy.2021.119867

Cited by 60 publications

(39 citation statements)

References 41 publications

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“…Optimization tool applied by researchers to non-linear model predictive controller [3], new variable structure control using meta-heuristics algorithms for frequency regulation [4], Energy Management of Controllable Loads New Supervisor Fuzzy Nonlinear Sliding Mode Control [5] and Predictive Controller for LFC of Nonlinear Multi-area Power System with Energy Storage Devices [6].…”

Section: Introductionmentioning

confidence: 99%

Optimal PID and fuzzy logic based position controller design of an overhead crane using the Bees Algorithm

2021

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Different industrial applications frequently use overhead cranes for moving and lifting huge loads. It applies to civil construction, metallurgical production, rivers, and seaports. The primary purpose of this paper is to control the motion/position of the overhead crane using a PID controller using Genetic Algorithms (GA) and Bee Algorithms (BA) as optimization tools. Moreover, Fuzzy Logic modified PID Controller is applied to obtain better controller parameters. The mathematical model uses an analytical method, and the PID model employs Simulink in MATLAB. The paper presents the PID parameters determination with a different approach. The development of membership functions, fuzzy rules employ the Fuzzy Logic toolbox. Both inputs and outputs use triangular membership functions. The result shows that the optimized value of the PID controller with the Ziegler-Nichols approach is time-consuming and will provide only the initial parameters. However, PID parameters obtained with the optimization method using GA and BA reached the target values. The results obtained with the fuzzy logic controller (0.227% overshoot) show improvement in overshoot than the conventional PID controller (0.271% overshoot).

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Section: Introductionmentioning

confidence: 99%

Optimal PID and fuzzy logic based position controller design of an overhead crane using the Bees Algorithm

2021

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“…The performance of a hybrid controller based on fuzzy logic and nonlinear SMC has been evaluated to manage the energy of a hybrid RERs integrated multiarea power system having distributed controllable loads. 38 The continuous load variation and/or intermittent outputs of RERs have drastic effects on the area frequency. The controller's proficiency further improves by incorporating the knowledge of estimated disturbance into the control law.…”

Section: Introductionmentioning

confidence: 99%

“…ANN was used to estimate and reject unmatched plant uncertainties. The performance of a hybrid controller based on fuzzy logic and nonlinear SMC has been evaluated to manage the energy of a hybrid RERs integrated multiarea power system having distributed controllable loads 38 . The continuous load variation and/or intermittent outputs of RERs have drastic effects on the area frequency.…”

Section: Introductionmentioning

confidence: 99%

Observer‐aided resilient hybrid fractional‐order controller for frequency regulation of hybrid power system

Guha

Roy

Banerjee

2021

Int Trans Electr Energ Syst

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This article maidenly presents a resilient hybrid fractional-order controller (hy-FOC) comprised of fractional-order proportional-integral-derivative (FOPID) controller and fractional-order sliding mode controller (FOSMC) for frequency regulation of an islanded hybrid power system (HPS) integrated with a doubly-fed induction generator (DFIG)-driven wind power generator. The slime mould algorithm is applied to obtain near-optimum gains of the hy-FOC via the minimization of an integral error criterion. Moreover, a Luenberger disturbance observer (Dob) is designed to estimate uncertain plant disturbances and incorporate estimated output into the control law to alleviate chattering in the output of sliding mode controller (SMC). The acceptability and superiority of the proposed hy-FOC are established by performing an extensive comparative study with the results of PI-derivative (PID), SMC, FOPID, and FOSMC under diverse operating conditions (model uncertainties and uncertain external disturbances). The simulation results are presented and discussed to authenticate proficiency of the proposed resilient control methodology over its other integral-order and fractionalorder counterparts. Governor dead-band and generation rate constraint (thermal unit) as a provenance of physical limitations are also considered in the model to show the proposed controller's effectiveness for handling the practical challenges.Lastly, the sensitivity and robustness of the proposed approach have been affirmed by varying system parameters between ±25% of nominal settings.

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“…Sliding mode control, with its advantages in overcoming system uncertainties and achieving strong robustness against disturbances, has been widely used in a variety of fields [6][7][8]. System robustness is enhanced by combining dynamic surface control with the sliding mode [9][10][11][12]. It can be used in different systems such as nonlinear systems [13], Markovian jump systems [14], power systems, and so on.…”

Section: Introductionmentioning

confidence: 99%

Observer-Based Sliding Mode Load Frequency Control of Power Systems under Deception Attack

et al. 2021

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This study investigates the observer-based sliding mode load frequency control for multiarea interconnected power systems under deception attack. By introducing the observer and combining it with the system state equation, the expression of the system error is obtained. A sliding mode surface is proposed to make sure the state of the systems to be stable. Then, the state equation of the system under sliding mode control is derived. The asymptotic stability of the whole system is proved by using the linear matrix inequality (LMI) technique and Lyapunov stability theory. Furthermore, a sliding mode control law is proposed to ensure that the attacked power system can reach a stable position. Numerical simulation results are presented to support the correctness of the results.

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Energy management of controllable loads in multi-area power systems with wind power penetration based on new supervisor fuzzy nonlinear sliding mode control

Cited by 60 publications

References 41 publications

Optimal PID and fuzzy logic based position controller design of an overhead crane using the Bees Algorithm

Optimal PID and fuzzy logic based position controller design of an overhead crane using the Bees Algorithm

Observer‐aided resilient hybrid fractional‐order controller for frequency regulation of hybrid power system

Observer-Based Sliding Mode Load Frequency Control of Power Systems under Deception Attack

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