Reliability Evaluation Of Power System Network With Solar Energy

Mudgal, Soumya; Yadav, Atul Kumar; Mahajan, Vasundhara

doi:10.1109/icps48983.2019.9067364

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…A grid-connected PV system's grid connection must be implemented by DC-AC converters (inverters), which do this task by transforming the DC from the PV array into a sinusoidal waveform synced with the utility grid (Mudgal, Yadav, & Mahajan, 2019).…”

Section: Introductionmentioning

confidence: 99%

Reliability assessment of grid-connected multi-inverter for renewable power generation sector

Abed

Mhalla²

2023

AGJSR

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PurposeThe paper aims to present a grid-connected multi-inverter for solar photovoltaic (PV) systems to enhance reliability indices after selected the placement and level of PV solar.Design/methodology/approachIn this study, the associated probability is calculated based on the solar power generation capacity levels and outages conditions. Then, based on this probability, dependability indices like average energy not supplied (AENS), expected energy not supplied and loss of load expectations (LOLE) are computed, also, another indices have been computed such as (customer average interruption duration index (CAIDI), system average interruption frequency index (SAIFI) and system average interruption duration index (SAIDI)) addressing by affected customers with distribution networks reliability assessment, including PV. On the basis of their dependability indices and active power flow, several PV solar modules installed in several places are analyzed. A mechanism for assessing the performance of the grid's integration of renewable energy sources is also under investigation.FindingsThe findings of this study based on data extracted form a PV power plant connected to the power network system in Diyala, Iraq 132 kV, attempts to identify the system's weakest points in order to improve the system's overall dependability. In addition, enhanced reliability indices are given for measuring solar PV systems performance connected to the grid and reviewed for the benefit of the customers.Originality/valueThe main contributions of this study are two methods for determining the reliability of PV generators taking into consideration the system component failure rates and the power electronic component defect rates in a PV system which depend on the power input and the power loss using electrical transient analysis program (ETAP) program.

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Section: Introductionmentioning

confidence: 99%

Reliability assessment of grid-connected multi-inverter for renewable power generation sector

Abed

Mhalla²

2023

AGJSR

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“…Comparing these results to those of other methods demonstrates the viability and potential of the recently proposed model for the ideal sizing of an AHRS. Solar energy was examined by Mudgal et al (2019) as a replacement for the current conventional generator system. The various PV solar modules that were installed at numerous sites were also reviewed by the researchers.…”

Section: Introductionmentioning

confidence: 99%

UGF-based signature reliability for solar panel k-out-of-n- multiplex systems

Ram

Kumar

Naaz

2023

JQME

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PurposeThe purpose of this paper is to evaluate the reliability and signature reliability of solar panel k-out-of-n-multiplex system with the help of universal generating function.Design/methodology/approachEnergy scarcity and global warming issues have become important concerns for humanity in recent decades. To solve these problems, various nations work for renewable energy sources (RESs), including sun, breeze, geothermal, wave, radioactive and biofuels. Solar energy is absorbed by solar panels, referred to as photovoltaic panels, which then transform it into electricity that can be used to power buildings or residences. Remote places can be supplied with electricity using these panels. Solar energy is often generated using a solar panel that is connected to an inverter for power supply. As a result, a converter reliability evaluation is frequently required. This paper presents a study on the reliability analysis of k-out-of-n systems with heterogeneous components. In this research, the universal generating function methodology is used to identify the reliability function and signature reliability of the solar array components. This method is commonly used to assess the tail signature and Barlow-Proschan index with independent and identically distributed components.FindingsThe Barlow-Proschan index, tail signature, signature, expected lifetime, expected cost and minimal signature of independent identically distributed are all computed.Originality/valueThis is the first study of solar panel k-out-of-n-multiplex systems to examine the signature reliability with the help of universal generating function techniques with various measures.

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“…From all this, solar energy is the only renewable energy available from large scale to small scale and approachable for residential area [1][2][3][4] . The authors considered residential solar-powerplant system incorporated with transformer electricity, to generate electricity and that can easily assemble on the roof top of houses.…”

Section: Introductionmentioning

confidence: 99%

Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach

Gupta,

Ekata,

Batra

2022

Baghdad Sci.J

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Solar energy is one of the immeasurable renewable energy in power generation for a green, clean and healthier environment. The silicon-layer solar panels absorb sun energy and converts it into electricity by off-grid inverter. Electricity is transferred either from this inverter or from transformer, consumed by consumption unit(s) available for residential or economic purposes. The artificial neural network is the foundation of artificial intelligence and solves many complex problems which are difficult by statistical methods or by humans. In view of this, the purpose of this work is to assess the performance of the Solar -Transformer -Consumption (STC) system. The system may be in complete breakdown situation due to failure of both solar power automation subsystem and transformer simultaneously or consumption unit; otherwise it works with fully or lesser efficiency. Statistically independent failures and repairs are considered. Using the elementary probabilities phenomenon incorporated with differential equations is employed to examine the system reliability, for repairable and non-repairable system, and to analyze its cost function. The accuracy and consistency of the system can be improved by feed forward-back propagation neural network (FFBPNN) approach. Its gradient descent learning mechanism can update the neural weights and hence the results up to the desired accuracy in each iteration, and aside the problem of vanishing gradient in other neural networks, that increasing the efficiency of the system in real time. MATLAB code for FFBP algorithm is built to improve the values of reliability and cost function by minimizing the error up to 0.0001 precision. Numerical illustrations are considered with their data tables and graphs, to demonstrate and analyze the results in the form of reliability and cost function, which may be helpful for system analyzers.

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Reliability Evaluation Of Power System Network With Solar Energy

Cited by 6 publications

References 14 publications

Reliability assessment of grid-connected multi-inverter for renewable power generation sector

Reliability assessment of grid-connected multi-inverter for renewable power generation sector

UGF-based signature reliability for solar panel k-out-of-n- multiplex systems

Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach

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