A novel fuzzy logic controller for smart load voltage regulation

Javaid, Muhammad Sharjeel; Irshad, Usama Bin; Hussein, A.; Abido, M. A.

doi:10.1109/iccep.2017.8004753

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…For example, Ma et al [12] designed a control strategy that adjusts the parameters of the PI controller in real time, using a fuzzy algorithm and particle swarm optimization (PSO). Javaid et al [13] compared the fuzzy controller, fuzzy PI controller, and a traditional PI controller, and proved that the fuzzy controller has the best dynamic performance and robustness.…”

Section: Introductionmentioning

confidence: 99%

A Terminal Sliding Mode Controller for Electric Spring

Zhang

2020

Teh. vjesn.

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This paper mainly designs a terminal sliding mode controller (SMC) that can optimize the dynamic and static performance of the electric spring (ES) under the complex load environment on the user side, and improve the anti-interference ability of the ES. Firstly, the user-side ES-containing supply and distribution network (SDN) was modelled and analyzed, and then, the sliding surface and control rate was designed. Next, a reference voltage generation method was introduced, the stabilization conditions of the ES-containing SDN were identified, and the principles of parameter setting for the SMC were expounded. Finally, the proposed terminal SMC was proved feasible through simulations and dSPACE-based physical experiments and found to outperform the linear SMC in adaptability and dynamic and static performance.

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Section: Introductionmentioning

confidence: 99%

A Terminal Sliding Mode Controller for Electric Spring

Zhang

2020

Teh. vjesn.

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“…The novel control strategy named control for ESs to provide different types of power/voltage compensations is presented in [21], which is significantly different from phaselocked control. A fuzzy logic controller designed for ESs to adjust the AC mains voltage is described in [22], which does not take into account the harmonics.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of Electric Spring for Voltage Regulation and Harmonics Suppression

Zou

Cao

2019

Mathematical Problems in Engineering

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This paper presents a model predictive control (MPC) strategy for electric spring (ES) to address the power quality problems, especially voltage regulation and harmonic suppression, which are more acute for a growing proportion of renewable energy generation to the grid. A Kalman filter is used to estimate the random variation of the supply voltage and extract the fundamental and harmonic components of the supply voltage, respectively. In this way, the supply voltage, which is treated as an external disturbance for the plant, can be established in the state-space model form. Such processing brings great convenience to the application of MPC and also lays a foundation for MPC to achieve an ideal control effect. Based on an integrated state-space model of the supply voltage and the ES, an MPC controller is designed for power quality improvement. Simulation studies are carried out and the simulation results are presented to verify the effectiveness and accuracy of the control strategy.

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Smart Energy Meter for Power Grid Using Fuzzy Logic

Baskaran

Aravindh

et al. 2017

2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)

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A novel fuzzy logic controller for smart load voltage regulation

Cited by 6 publications

References 20 publications

A Terminal Sliding Mode Controller for Electric Spring

A Terminal Sliding Mode Controller for Electric Spring

Model Predictive Control of Electric Spring for Voltage Regulation and Harmonics Suppression

Smart Energy Meter for Power Grid Using Fuzzy Logic

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