Reliability Assessment of Power System Considering the Impact of Renewable Energy Sources Integration Into Grid With Advanced Intelligent Strategies

Akhtar, Iram; Kirmani, Sheeraz; Jameel, Mohammed

doi:10.1109/access.2021.3060892

Cited by 70 publications

(23 citation statements)

References 20 publications

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“…Based on a system average interruption frequency, duration indices and customer total average interruption duration indices (Hase, Khandelwal, & Kameda, 2020) and (Akhtar, Kirmani, & Jameel, 2021) offered more straightforward system-level models for PV system reliability. Additionally, the usual timeframe for energy delivery was not met.…”

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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“…Wind being one of the most pervasive, is significantly important. Wind energy‐based system affects the reliability of the power system so this also can be considered [8] and accurate prediction of the wind power is important.…”

Section: Introductionmentioning

confidence: 99%

An environmental‐friendly green energy system with a real wind speed prediction based on innovative hierarchical forecast error correction model

Akhtar

Altamimi

Khan

et al. 2022

IET Renewable Power Gen

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Precise forecasting of wind speed is an important technology to permit the reliable and efficient operation of sustainable energy system. Here, the authors offer an effective wind speed prediction (EWSP) technique based on advanced forecast error correction model (AFECM). Ramapuram, Chennai is selected to fit the wind-energy-based systems and ENNORE thermal power station, Chennai is selected to decrease the carbon footprints. In the proposed technique, the error correction model is made to produce the final forecast. The proposed wind speed prediction based on innovative hierarchical forecast error correction model reveals that with the proposed AFEC+ MSVM technique, the hourly average RMSEs, MADs, MSEs and MAPEs in Delivery 24 are decreased by 2.277%, 1.012%, 0.234%, and 1.245 % as compared to the normal SVM technique, while with AFEC+SVM method, average errors in RMSEs, MADs, MSEs and MAPEs in Delivery-24 are reduced by 3.385%, 2.056%, 1.956% and 2.546% as compared with the normal SVM technique, whereas the forecasting errors with AFEC+BP method, the middling errors in RMSEs, MADs, MSEs and MAPEs in Delivery-24 are decreased by 2.867%, 1.654%, 1.834% and 2.298%, compared with simple BP method. The study displays that 1,485,550 kg CO 2 emission is decreased from the ENNORE thermal power plant.

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“…Pulse width modulation (PWM) grid-connected inverters which fulfill existing grid standards are widely used and adopted to deliver power from the renewable energy resources to the utility grid [3]. To meet the necessary criteria, a filter that effectively attenuates the current harmonics caused by the PWM switching frequency must be designed properly.…”

Section: Introductionmentioning

confidence: 99%

Harmonic Suppression and Stability Enhancement of a Voltage Sensorless Current Controller for a Grid-Connected Inverter Under Weak Grid

Yoon

Kim

2022

IEEE Access

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This paper presents the harmonic suppression and stability enhancement of a grid voltage sensorless current controller for a grid-connected inverter under weak grid conditions. Given that inductivecapacitive-inductive (LCL) filters represented as higher-order dynamics cause resonance problems, a considerate resonance frequency damping process is required. In particular, the resonance phenomenon of the LCL filter crucially influences the current quality when the grid-connected inverter is connected to a weak grid with uncertain grid impedance and distorted harmonics. Additionally, there is a possibility that the control system will become unstable due to changes in system parameters, even after considerate resonance frequency damping. In order to solve these problems, this paper presents an active damping (AD) method by using integral variables in an integral state feedback current controller for a grid voltage sensorless inverter system, which significantly improves the current harmonics and stability of the gridconnected inverter under weak grid condition. The presented closed-loop current control scheme only requires the measurement of the injected grid currents and DC-link voltage. Compared to the traditional state feedback control methods, the reliability and robustness of the proposed control scheme are much improved even with reduced system cost. The stability and current control performance of the closed-loop system are investigated in the presence of uncertainty in the grid impedance and filter capacitor parameter under distorted grids. In order to support the theoretical analyses, the comprehensive simulation results are presented in terms of the grid current quality and control stability in an environment with both uncertain grid impedance and a distorted grid. Experimental results are also presented by using a 32-bit digital signal processor (DSP) TMS320F28335 controller for a 2 kVA grid-connected inverter to validate the feasibility of the proposed scheme practically.

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Reliability Assessment of Power System Considering the Impact of Renewable Energy Sources Integration Into Grid With Advanced Intelligent Strategies

Cited by 70 publications

References 20 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

An environmental‐friendly green energy system with a real wind speed prediction based on innovative hierarchical forecast error correction model

Harmonic Suppression and Stability Enhancement of a Voltage Sensorless Current Controller for a Grid-Connected Inverter Under Weak Grid

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