Enhanced control strategies for a hybrid battery/photovoltaic system using FGS-PID in grid-connected mode

Dadfar, Sajjad; Wakil, Karzan; Khaksar, Mehrdad; Rezvani, Alireza; Miveh, Mohammad Reza; Gandomkar, Majid

doi:10.1016/j.ijhydene.2019.04.174

Cited by 63 publications

(14 citation statements)

References 29 publications

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“…Three scheduling scenarios Scheduling scenario 1: The photovoltaic system and the wind turbine system adopt Maximum Power Point Tracking [37][38][39] which can maximize the use of solar energy and wind energy. The output power curve of the photovoltaic system and the wind turbine system, and the load curve are shown in Figure 5.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Multi-objective optimal energy management of microgrids including plug-in electric vehicles with the vehicle to grid capability for energy resources scheduling

Jiao

Zou

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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As more battery electric vehicles and plug-in hybrid electric vehicles are connected to the microgrid, plug-in electric vehicles have a major impact on the microgrid. This paper proposes a multi-objective optimization energy management model including plug-in electric vehicles and other distributed generations. By analyzing the powertrain structure of different kinds of plug-in electric vehicles, the engine fuel consumption model, the charging model, the discharge model, and the battery state of charge model of plug-in electric vehicle in microgrids are given. The proposed model considers the plug-in electric vehicle battery state of charge constraints to prevent the battery from overcharging and over-discharging and gives the state of charge curve in microgrids. Simultaneously, an improved gray wolf algorithm, introducing optimization control factors and greedy strategies to better balance the mining and exploration capabilities of the gray wolf algorithm, is proposed to solve this multi-objective optimization energy management model. Compared with particle swarm optimization and traditional gray wolf algorithm, the improved algorithm further improves the accuracy and convergence speed. Besides, the improved algorithm is applied to three scheduling schemes, and the results show that plug-in hybrid electric vehicles have more advantages in energy economy in some special cases.

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Section: Simulation and Resultsmentioning

confidence: 99%

Multi-objective optimal energy management of microgrids including plug-in electric vehicles with the vehicle to grid capability for energy resources scheduling

Jiao

Zou

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part A:

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show abstract

“…Renewable energy sources such as photovoltaics are also widely employed in DGs. In [2], hybrid battery/photovoltaics systems are used in grid-connected mode with fuzzy gain scheduling proportional-integral-derivation (FGS-PID) controller. Because of the dependence of voltage generation on photovoltaics to weather conditions and considering the reliability, renewable energy sources are employed in hybrid configuration.…”

Section: Introductionmentioning

confidence: 99%

A Sliding Mode Controller Based on Robust Model Reference Adaptive Proportional-integral Control for Stand-alone Three-phase Inverter

Esmaeili

Asadi

2021

Journal of Modern Power Systems and Clean Energy

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This paper proposes a sliding mode controller based on robust model reference adaptive proportional-integral (RMRA-PI) control for a stand-alone voltage source inverter (SA-VSI). The proposed controller has two control loops where the coefficients of PI controller are regulated by the adaptive sliding law. This method is used to regulate the output voltage of the inverter under different load conditions and uncertainty, and adapts the output to the reference model to reduce the total harmonic distortion (THD). In this paper, the stability of the proposed controller is proven by using Lyapunov' s theory and Barbalet's lemma. The proposed controller performs well in voltage regulation such as low THD under sudden load change and uncertainty. Also, the results of the proposed controller are compared with PI controller to show the effectiveness of the presented control system. Index Terms--Robust model reference adaptive proportionalintegral (RMRA-PI) control, stand-alone inverter, three-phase inverter, voltage control, Lyapunov' 's theory.

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“…Considering nonlinearity of I-V and P-V curves of PV source, their delivered power depends on operating point of the PV. That is, for changes in temperature or irradiation, some actions should be taken to obtain maximum operating point which is called MPPT [1,2]. In summary, MPPT system has to determine operating point and adjust voltage and current of solar array to reach maximum power point.…”

Section: Introductionmentioning

confidence: 99%

“…First class includes the methods which follow a basic algorithm among which perturbation and observation (P&O), hill climbing (HC) and incremental conductance (INC) can be mentioned [2,3]. P&O is based on creating perturbation on voltage and observing output power.…”

Section: Introductionmentioning

confidence: 99%

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Maximum power point tracking in photovoltaic systems under different operational conditions by using ZA-INC algorithm

Rajabi

Hosseini

2019

SN Appl. Sci.

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Today, environmental pollution has increased due to excess use of fossil resources. Amidst, renewable energy resources, solar energy is one of the infinite, clean and accessible options. Each solar cell has a unique operating point which is called maximum power point. Considering nonlinearity of I-V and P-V curves of Photovoltaic (PV) resources, their delivered power depends on operating point of the PV. That is, for changes in temperature or irradiation, some actions should be taken to obtain maximum operating point which is called maximum power point tracking (MPPT). This paper tries to configure power circuit using distributed maximum power point tracking (DMPPT) with a fly-back converter, optimize power and reduce fluctuations around maximum power point. MPPT is analyzed through simulation using P&O, INC and zero fluctuation, adaptive step, increasing (ZA-INC) guidance algorithms in two steps including variable irradiation with constant temperature and variable temperature with constant irradiation using DMPPT and centralized MPPT. In DMPPT scheme using ZA-INC algorithm, power is optimized, losses are reduced, fluctuations around maximum power point are reduced, gain and tracking speed are increased.

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Enhanced control strategies for a hybrid battery/photovoltaic system using FGS-PID in grid-connected mode

Cited by 63 publications

References 29 publications

Multi-objective optimal energy management of microgrids including plug-in electric vehicles with the vehicle to grid capability for energy resources scheduling

Multi-objective optimal energy management of microgrids including plug-in electric vehicles with the vehicle to grid capability for energy resources scheduling

A Sliding Mode Controller Based on Robust Model Reference Adaptive Proportional-integral Control for Stand-alone Three-phase Inverter

Maximum power point tracking in photovoltaic systems under different operational conditions by using ZA-INC algorithm

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