Active power control of three-phase grid-connected solar PV systems using a robust nonlinear adaptive backstepping approach

Roy, T. K.; Mahmud, M. A.

doi:10.1016/j.solener.2017.04.044

Cited by 74 publications

(27 citation statements)

References 36 publications

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“…are getting more attention to meet the increasing power demand. However, among these RESs, the solar PV units and wind power generators are the most promising alternative energy sources due to their unique properties [1], [2]. But, due to the technological developments, currently, the wind power generator is one of the fastest rising RESs for the generation of electrical energy.…”

Section: Introductionmentioning

confidence: 99%

Neuro Fuzzy Logic Controlled Parallel Resonance Type Fault Current Limiter to Improve the Fault Ride Through Capability of DFIG Based Wind Farm

et al. 2020

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Doubly fed induction generators (DFIGs) are vulnerable to grid related electrical faults. Standards require DFIGs to be disconnected from the grid unless augmented with a fault ride through (FRT) capability. A fault current limiter (FCL) can enhance the overall stability of wind farms and allow them to maintain grid-code requirements. In this paper, a neuro fuzzy logic controlled parallel resonance type fault current limiter (NFLC-PRFCL) is proposed to enhance the FRT capability of the DFIG based wind farm. Theoretical and graphical analysis of the proposed method are carried out by MATLAB/Simulink software. The performance of the NFLC-PRFCL is compared with other documented FCL devices, e.g., the bridge type fault current limiter (BFCL) and the series dynamic braking resistor (SDBR). The performance of the NFLC-PRFCL is also compared with that of the existing fuzzy logic controlled parallel resonance fault current limiter (FLC-PRFCL). From the simulation results, it is found that the NFLC-PRFCL outperforms its competitors and enables the DFIG to maintain a near-seamless performance during various fault events. INDEX TERMS Doubly fed induction generator (DFIG), fault ride through (FRT), fuzzy logic controller (FLC), neuro fuzzy logic controller (NFLC), parallel resonance fault current limiter (PRFCL).

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Section: Introductionmentioning

confidence: 99%

Neuro Fuzzy Logic Controlled Parallel Resonance Type Fault Current Limiter to Improve the Fault Ride Through Capability of DFIG Based Wind Farm

et al. 2020

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“…Backstepping control is a type of nonlinear control widely used in engineering [16]. The main idea of backstepping control is to design a virtual controller for each of the higher orders of the system to control the whole system [17]. In the design process of the backstepping controller, the virtual controller for each subsystem should be designed according to the Lyapunov function.…”

Section: Introductionmentioning

confidence: 99%

Anti-Disturbance Finite-Time Adaptive Sliding Mode Backstepping Control for PV Inverter in Master–Slave-Organized Islanded Microgrid

Cui

Dai

et al. 2020

Energies

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With the aim to solve the problem related to the power chattering and anti-disturbance performance of a photovoltaic (PV) inverter in master–slave-organized islanded microgrid, an anti-disturbance finite-time adaptive sliding mode backstepping (DFA-SMB) controller is designed in this paper. First, the topology and the second-order dynamic model of PV inverter are established based on constant DC voltage and constant reactive power control method. Subsequently, the backstepping method is adopted to perform the control of a high-order system. Moreover, a second-order sliding mode differentiator is used to realize the function of command-filter, solving the differential expansion problem caused by the derivation of virtual controller. Besides, the terminal sliding mode control (TSMC) is introduced into the q-axis controller and d-axis inner loop controller, increasing the robustness and reducing the convergence time of the system. Adaptive control and disturbance-observer (DO) are used to perform the adaptive estimation of model parameters and the observation of lumped disturbances, respectively, enhancing the dynamic characteristics of the controller. Finally, a master–slave-organized islanded microgrid with 100 kW PV array is established in MATLAB/Simulink. The results demonstrate that the proposed control method can effectively reduce power chattering and improve the anti-disturbance ability of the PV system.

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“…Due to the dynamic of the power, converters are nonlinear, and some parameters cannot be measured accurately. Hence, a large number of nonlinear control methods are introduced to solve problems of the nonlinearity and uncertainty of power converters [15][16][17][18][19][20][21]. As a kind approach of nonlinear control, the backstepping which is widely used in grid-connected system is considered to deal with the nonlinearity and uncertainty [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Wang

Yan

et al. 2019

Solar Energy

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2018) A novel adaptive command-filtere backstepping sliding mode control for PV grid-connected system with energy storage. Solar Energy,. ISSN 0038-092X. AbstractTo solve the problems of power fluctuation in the photovoltaic (PV) grid-connected system and the nonlinearity in the model of inverters, a projection-based adaptive backstepping sliding mode controller with command-filter is designed in the system, in order to adjust the DC-link voltage and the AC-side current in the PV grid-connected system. Firstly, the mathematic model of the inverter in PV system is established, then backstepping control method is applied to control it, and the command filter is added to the controller to eliminate the differential expansion of the backstepping controller. Furthermore, the adaptive law based on Lyapunov stability theory is designed to estimate the uncertain parameters in the grid-connected inverter. A projection algorithm is introduced in the adaptive controller due to the demand of guaranteeing the bounded estimated value. Additionally, a sliding mode controller is increased to improve its robustness in this system.With the consideration of the influence of irradiation and temperature changes, a battery-energy-storage-system is applied to the DC-side to suppress the fluctuation of output power of the PV system. Finally, the simulation results demonstrate that the presented strategy can control the grid connected inverter precisely.

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Active power control of three-phase grid-connected solar PV systems using a robust nonlinear adaptive backstepping approach

Cited by 74 publications

References 36 publications

Neuro Fuzzy Logic Controlled Parallel Resonance Type Fault Current Limiter to Improve the Fault Ride Through Capability of DFIG Based Wind Farm

Neuro Fuzzy Logic Controlled Parallel Resonance Type Fault Current Limiter to Improve the Fault Ride Through Capability of DFIG Based Wind Farm

Anti-Disturbance Finite-Time Adaptive Sliding Mode Backstepping Control for PV Inverter in Master–Slave-Organized Islanded Microgrid

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

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