Reliability Assessment of Grid Connected Solar Inverters in 1.4 MW PV Plant from Anomalous Classified Real Field Data

Sarwat, Arif I.; McCluskey, Patrick; Mazumder, Sudip K.; Russell, M.C.; Roy, Sukanta; Tufail, Shahid; Dharmasena, Shamini; Stevenson, Alexander

doi:10.1109/naps56150.2022.10012172

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…A growing number of photovoltaic (PV) system sectors are utilizing artificial intelligence (AI) as a result of growing computing power, tools, and data creation Power quality will be a key problem as the quickly growing distributed energy resources (DERs) in power networks are now coupled to create community grid architectures. Unless the upstream harmonics are below the thresholds, the grid-to-grid (G2G) bidirectional power transmission among the distribution microgrid will not be deemed financially practicable [13]. It has been discovered that the approaches now in use for a number of solar PV sector tasks connected to design, forecasting, control, and maintenance provide outcomes that are comparatively erroneous.…”

Section: B Literature Reviewmentioning

confidence: 99%

Optimal Power Flow Incorporating Renewable Energy Sources and FACTS Devices: A Chaos Game Optimization Approach

Mohamed,

Kamel,

Hassan

et al. 2024

IEEE Access

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This study addresses the optimal power flow (OPF) problem incorporating renewable energy sources (RES) and flexible alternating current transmission systems (FACTS) using the Chaos Game Optimization (CGO) algorithm. Five objective functions are considered, which include minimizing generation costs, emissions, active power loss, voltage deviation, and enhancing voltage profiles. The OPF formulation considers the anticipated electricity production from wind turbines (WT) and photovoltaic (PV) units as dependent variables, while the voltage magnitude at WT and PV buses is treated as a control variable. Probabilistic models based on wind speed and solar irradiance are used to forecast the electrical output of WT and PV units. The proposed OPF methodology and solution method are validated on the IEEE 30-bus test network. This paper introduces and applies four new optimization techniques inspired by biological and natural phenomena, namely CGO, Osprey Optimization Algorithm (OOA), RIME Algorithm, and Slime Mould Algorithm (SMA), to address both single-OPF and multi-OPF objective problems in electric power networks. The suggested optimization approaches are tested under different operational scenarios, considering various combinations of FACTS, renewable energy sources (solar PV and wind), and their locations in the network. To predict wind and solar PV power generation, Weibull and lognormal probability density functions are utilized, respectively. The objective function accounts for reserve cost due to overestimation and penalty cost due to underestimation of intermittent solar and wind power. The results demonstrate that the CGO technique is more efficient than other methods in solving OPF instances.INDEX TERMS renewable energy source; wind power generation; solar photovoltaic; FACTS devices; load flow; CGO algorithm.

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Section: B Literature Reviewmentioning

confidence: 99%

Optimal Power Flow Incorporating Renewable Energy Sources and FACTS Devices: A Chaos Game Optimization Approach

Mohamed,

Kamel,

Hassan

et al. 2024

IEEE Access

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“…Under the guidance of "emission peaking and carbon neutrality goals", wind energy, solar energy and other new energy types are developing fast in China these days. Gridconnected inverters play an important role in electricity generation using various energy sources, so they have been widely used in the field of power generation [1][2][3][4][5][6], and their reliability is very important for stably and reliably merging the generated electricity in to the large power grid [7][8][9][10][11]. IGBT module is one of the most widely used power switching device in various power converters, and its reliability determines the reliability of grid-connected inverters [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

A Thermal Management Strategy for Inverter System Based on Predictive Control

Zheng-de¹

2023

IJHT

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Temperature fluctuation is the primary reason for gradual failure of IGBT (Insulated Gate Bipolar Transistor) module in inverter system, and overall thermal management is an effective way to smooth temperature fluctuation and prolong the service life of IGBT module. Currently there are a series of problems with the module temperature management method of inverter system, including complicated control method, limited adjustment range, slow response, and poor control accuracy, etc. To cope with these matters, this paper aims to study a thermal management strategy for inverter system. At first, this paper built a model for temperature prediction and control of inverter system based on linear timevarying state space, the model measures system state based on estimation and can calculate the control variables with the mutual effect between different variables taken into consideration but without the necessity of system decoupling. Then, this paper proposed a thermal management strategy for inverter system based on predictive control and optimized it further. At last, the validity of the constructed model and the proposed strategy were verified by experimental results.

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Reliability Analysis of Wireless Power Transfer for Electric Vehicle Charging based on Continuous Markov Process

Behnamfar

Taher

Polowsky

et al. 2023

2023 Fourth International Symposium on 3D Power Electronics Integration and Manufacturing (3d-Peim)

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Reliability Assessment of Grid Connected Solar Inverters in 1.4 MW PV Plant from Anomalous Classified Real Field Data

Cited by 8 publications

References 14 publications

Optimal Power Flow Incorporating Renewable Energy Sources and FACTS Devices: A Chaos Game Optimization Approach

Optimal Power Flow Incorporating Renewable Energy Sources and FACTS Devices: A Chaos Game Optimization Approach

A Thermal Management Strategy for Inverter System Based on Predictive Control

Reliability Analysis of Wireless Power Transfer for Electric Vehicle Charging based on Continuous Markov Process

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