Research on modelling and simulation of converters for electromagnetic transient simulation in photovoltaic power generation system

Wang, Lei; Li, Mengdi; Deng, Xinchang

doi:10.1049/iet-gtd.2018.5819

Cited by 5 publications

(5 citation statements)

References 26 publications

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“…In a system with n nodes, we let the node numbers 1∼n-1 be PQ nodes and the node number n be balanced nodes. The power flow equation using the polar coordinate system can be expressed as follows: (10) where U i and U j are the voltage amplitudes of Nodes I and j, respectively; θ ij is the voltage phase difference between Nodes i and j; P i and Q i are the injected active and reactive powers of Node i; and G ij and B ij are the real and imaginary parts of the elements in the i-th row and j-th column of the node admittance matrix, respectively.…”

Section: Node Voltage Amplitude and Phase Angle Affine Modelmentioning

confidence: 99%

“…The set values of the active and reactive currents are determined using the grid-connected voltage [6]. To calculate the transient characteristics of faults, researchers have mainly focused on establishing electromagnetic models in simulation software [7][8][9][10]. Although the description of waveforms is intuitive, obtaining the transient expression of the fault current from strict mathematical derivation is not possible, and it is not possible to generalize the unified model of transient current in different networks.…”

Section: Introductionmentioning

confidence: 99%

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An Algorithm for Short-Circuit Current Interval in Distribution Networks with Inverter Type Distributed Generation Based on Affine Arithmetic

Zhang,

Du,

Pan

et al. 2024

ENERGY

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During faults in a distribution network, the output power of a distributed generation (DG) may be uncertain. Moreover, the output currents of distributed power sources are also affected by the output power, resulting in uncertainties in the calculation of the short-circuit current at the time of a fault. Additionally, the impacts of such uncertainties around short-circuit currents will increase with the increase of distributed power sources. Thus, it is very important to develop a method for calculating the short-circuit current while considering the uncertainties in a distribution network. In this study, an affine arithmetic algorithm for calculating short-circuit current intervals in distribution networks with distributed power sources while considering power fluctuations is presented. The proposed algorithm includes two stages. In the first stage, normal operations are considered to establish a conservative interval affine optimization model of injection currents in distributed power sources. Constrained by the fluctuation range of distributed generation power at the moment of fault occurrence, the model can then be used to solve for the fluctuation range of injected current amplitudes in distributed power sources. The second stage is implemented after a malfunction occurs. In this stage, an affine optimization model is first established. This model is developed to characterizes the short-circuit current interval of a transmission line, and is constrained by the fluctuation range of the injected current amplitude of DG during normal operations. Finally, the range of the short-circuit current amplitudes of distribution network lines after a short-circuit fault occurs is predicted. The algorithm proposed in this article obtains an interval range containing accurate results through interval operation. Compared with traditional point value calculation methods, interval calculation methods can provide more reliable analysis and calculation results. The range of short-circuit current amplitude obtained by this algorithm is slightly larger than those obtained using the Monte Carlo algorithm and the Latin hypercube sampling algorithm. Therefore, the proposed algorithm has good suitability and does not require iterative calculations, resulting in a significant improvement in computational speed compared to the Monte Carlo algorithm and the Latin hypercube sampling algorithm. Furthermore, the proposed algorithm can provide more reliable analysis and calculation results, improving the safety and stability of power systems. KEYWORDSShort circuit calculation; inverter type distributed power supplies; affine arithmetic; distribution network Nomenclature DERsDistributed energy resources LVRT Low-voltage ride-through

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Section: Node Voltage Amplitude and Phase Angle Affine Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Algorithm for Short-Circuit Current Interval in Distribution Networks with Inverter Type Distributed Generation Based on Affine Arithmetic

Zhang,

Du,

Pan

et al. 2024

ENERGY

View full text Add to dashboard Cite

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“…Subhani et al [12] studied the performance of a new Z-source inverter (ZSI)based single-stage power conditioning system (PCS) analyzed for a standalone PV power generation system. Wang et al [13] developed a new piecewise generalised state-space averaging (P-GSSA) model is derived and a multiple time scale modeling is achieved for the grid-connected converters in PV systems. Zhang et al [14] analyzed the demand side of China's distributed photovoltaic (DPV) power generation by calculating the comparison of the levelized electricity cost (LCOE) with retail electricity prices and desulfurized thermal power benchmark electricity prices in 4 resource areas in 2018, 2020, and 2025.…”

Section: Figure 1: Photovoltaic Power Systemsmentioning

confidence: 99%

A Survey of the Researches on Grid-Connected Solar Power Generation Systems and Power Forecasting Methods Based on Ground-Based Cloud Atlas

Deng¹,

Da²,

Shao³

et al. 2023

Energy Engineering

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Photovoltaic power generating is one of the primary methods of utilizing solar energy resources, with large-scale photovoltaic grid-connected power generation being the most efficient way to fully utilize solar energy. In order to provide reference strategies for pertinent researchers as well as potential implementation, this paper tries to provide a survey investigation and technical analysis of machine learning-related approaches, statistical approaches and optimization techniques for solar power generation and forecasting. Deep learning-related methods, in particular, can theoretically handle arbitrary nonlinear transformations through proper model structural design, such as hidden layer topology optimization and objective function analysis to save information that can increase forecasting accuracy while filtering out irrelevant or less affected data for forecasting. The research's results indicate that RBFNN-AG performed the best when applying the predetermined number of days, with an NRMSE value of 4.65%. RBFNN-AG performs better than sophisticated models like DenseNet (5.69%), SLFN-ELM (5.95%), and ANN-k-means-linear regression correction (6.11%). Additionally, scenario application and PV system investment techniques are provided to evaluate the current condition of new energy development and market trends both domestically and internationally.

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“…The ensemble of rules forms an essential element, affording a linguistic elucidation of the variables subject to control. These rules are rooted in the domainspecific knowledge of the underlying process [110][111][112][113][114][115]. Operating synergistically with these rules, the inference mechanism engenders an insightful interpretation of the processed data, duly accounting for the embedded rules and their corresponding membership functions.…”

Section: Fuzzy Logic Control (Flc)mentioning

confidence: 99%

Fuzzy logic controller-based enhancement for grid-connected large-scale PV systems

Mohamed Belrzaeg,

Mohamed Abou Sif

2023

Magna Sci. Adv. Res. Rev.

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: In recent years, considerable scholarly attention has been directed toward photovoltaic (PV) power generation, driven by the imperative to ameliorate the ecological ramifications inherent in conventional electricity generators. The economic viability of PV generation is intrinsically contingent upon both the cost-efficiency of the cells employed and the quantum of energy that the arrays have the capacity to deliver over their operational lifespan. This scholarly exposition elucidates an exploratory inquiry into the intricate realm of modeling and simulating solar PV systems, conjoined with the distribution grid via the employment of a Fuzzy Logic Controller (FLC). The inquiry delves into the nuanced realm of the influence wielded by fluctuations in solar radiation upon the system's operational efficacy, concurrently proffering a novel energy storage framework engineered to counterbalance the power quality predicaments stemming from the intermittent nature of solar energy. The empirical manifestations gleaned from simulations evince the system's conceptual prowess, effectuating an amelioration in the comprehensive operational dexterity of the solar PV system, thereby embellishing energy capture efficiency and mollifying the perturbing power quality predicaments. A comparative investigation, encompassing varied conditions, substantiates the prowess of the proposed methodology vis-à-vis the fixed perturbation Maximum Power Point Tracking (MPPT) algorithm. Empirical observations emanating from these investigations conspicuously affirm the feasibility and distinct advantages underpinning the purview of the proposed methodology.

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Research on modelling and simulation of converters for electromagnetic transient simulation in photovoltaic power generation system

Cited by 5 publications

References 26 publications

An Algorithm for Short-Circuit Current Interval in Distribution Networks with Inverter Type Distributed Generation Based on Affine Arithmetic

An Algorithm for Short-Circuit Current Interval in Distribution Networks with Inverter Type Distributed Generation Based on Affine Arithmetic

A Survey of the Researches on Grid-Connected Solar Power Generation Systems and Power Forecasting Methods Based on Ground-Based Cloud Atlas

Fuzzy logic controller-based enhancement for grid-connected large-scale PV systems

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