Maximum Power Point Tracking Control of Photovoltaic Systems: A Polynomial Fuzzy Model-Based Approach

Rakhshan, Mohsen; Vafamand, Navid; Khooban, Mohammad‐Hassan; Blaabjerg, Frede

doi:10.1109/jestpe.2017.2708815

Cited by 73 publications

(35 citation statements)

References 35 publications

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“…Photovoltaic Modelling Figure 2 illustrates the equivalent circuit of the photovoltaic [25]. Figure 3 shows the voltage and current curve [26][27][28]. A photovoltaic module is previously stated to consist of photovoltaic cells joint in parallel and in series.…”

Section: Distributed Hybrid Energy Generation Systemmentioning

confidence: 99%

A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids

et al. 2020

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This paper presents a novel cooperative control technique concerning fully-distributed AC/DC microgrids. Distributed generation based on inverters has two types, i.e., Current Source Inverter (CSI), also referred to as PQ inverter, and Voltage Source Inverter (VSI). Both inverter forms have a two-layer coordination mechanism. This paper proposes a design method for the digital Proportional-Resonant (PR) controller that regulates the current inside an inverter. The inverters will improve the voltage quality of the microgrid while maintaining the average voltage of buses at the same desired level. There is comprehensive detail on the computations specific to resonant and proportional gains and digital resonance path coefficients. The paper includes a digital PR controller design and its analysis in the frequency domain. The analysis is based on the w-domain. The main contribution of this paper is the proposed method, which not only focuses on the transient response but also improves the steady-state response which smoothens the voltage; furthermore, all inverters are effectively involved to increase the capacity of the microgrid for better power management. The suggested cooperative control technique is used on an IEEE 14-bus system having fully distributed communication. The convincing outcomes indicate that the suggested control technique is an effectual means of regulating the microgrid’s voltage to obtain an evener and steady voltage profile. The microgrid comprises distributed resources and is used as the primary element to analyse power flow and quality indicators associated with a smart grid. Lastly, numerical simulation observations are utilised for substantiating the recommended algorithm.

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Section: Distributed Hybrid Energy Generation Systemmentioning

confidence: 99%

A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids

et al. 2020

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“…Similarly, literature [18][19][20] failed to consider the influence of the limited capacity of pumped storage units on the flattening of power fluctuations and whether it will cause the waste of renewable energy. In [21], Mohsen et al proposed the control method maximum power point tracking (MPPT) to optimize the efficiency and performance of PV power generation. On the basis of the traditional method, it was optimized by means of square sum decomposition, polynomial fuzzy modeling, and polynomial parallel distribution compensation (PDC).…”

Section: Introductionmentioning

confidence: 99%

Control Strategy of the Pumped Storage Unit to Deal with the Fluctuation of Wind and Photovoltaic Power in Microgrid

Shao

Jiang

et al. 2020

Energies

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With the development and utilization of distributed energy and microgrid, distributed energy storage has become a new development trend. However, small pumped storage units have the advantages of flexible engineering location, low investment, quick effect, low requirements on transmission lines, and a better solution to the peak load demand of the system. Therefore, it is more and more used in the microgrid, and it conducts joint dispatching with wind power, photovoltaic, and other clean energies. To solve the capacity problem of small pumped storage units within the microgrid, a new control strategy is proposed in this paper. Two pumped storage units are used for joint operations. Taking the smoothed combined output power of wind power, photovoltaic power, and pumped storage power as the target, and considering the limitations of transmission lines, the constraints of wind power and photovoltaic power fields as well as the restrictions of pumped storage power units and corresponding reservoirs are taken into account. In this paper, social particle swarm optimization (SPSO) with improved weight is used to calculate and solve the model. The effectiveness of the new control strategy is verified.

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“…This LIC is the improved form of Incremental Conductance (InC) algorithm, which mitigates the inherent problems of traditional InC algorithm [15], like steady-state oscillation, slow dynamic responses and fixed step size issues. A literature review on MPPT shows that many authors have tried to solve these problems through some modifications in classical algorithms namely, modified perturb and observed (P&O) [16], improved InC [17], fuzzy logic based MPPT [18], artificial intelligence based MPPT approach [19], etc. However, still, an optimum solution has not come.…”

Section: Introductionmentioning

confidence: 99%

Leaky-Least-Logarithmic-Absolute-Difference-Based Control Algorithm and Learning-Based InC MPPT Technique for Grid-Integrated PV System

Kumar

Singh

Panigrahi

et al. 2019

IEEE Trans. Ind. Electron.

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This work introduces a novel Leaky Least Logarithmic Absolute Difference (LLLAD) based control algorithm and Learning based Incremental Conductance (LIC) MPPT (Maximum Power Point Tracking) algorithm, for grid-integrated solar PV (Photovoltaic) system. Here, a three-phase topology of grid-integrated PV system is implemented, with the nonlinear/linear loads. Proposed LIC technique is an improved form of an Incremental Conductance (InC) algorithm, where inherent problems of traditional InC technique like steady-state oscillations, slow dynamic responses and fixed step size issues, are successfully mitigated. The prime objective of proposed LLLAD control is to meet the active power requirement of the loads from generated solar PV power, and after satisfying the load demand, the excess power is supplied to the grid. However, when generated solar power is less than the load demand, then LLLAD meets the load by taking extra required power from the grid. During these power management processes, on the grid side, the power quality is maintained. During daytime, the proposed control technique provides load balancing, power factor correction, and harmonics filtering. Moreover, when solar irradiation is zero, then the DC link capacitor and VSC, act as DSTATCOM (Distribution Static Compensator), which enhances the utilization factor of the system. The proposed techniques are modeled, and their performances are verified experimentally on a developed prototype, in solar insolation variation conditions, unbalanced loading, as well as in different grid disturbances such as over and under-voltage, phase imbalance, harmonics distortion in the grid voltage etc. Test results have met the objectives of proposed work and parameters are under the permissible limit, according to the IEEE-519 standard.

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Maximum Power Point Tracking Control of Photovoltaic Systems: A Polynomial Fuzzy Model-Based Approach

Cited by 73 publications

References 35 publications

A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids

A Novel Cooperative Controller for Inverters of Smart Hybrid AC/DC Microgrids

Control Strategy of the Pumped Storage Unit to Deal with the Fluctuation of Wind and Photovoltaic Power in Microgrid

Leaky-Least-Logarithmic-Absolute-Difference-Based Control Algorithm and Learning-Based InC MPPT Technique for Grid-Integrated PV System

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