Grid Impact Assessment of Centralized and Decentralized Photovoltaic-Based Distribution Generation: A Case Study of Power Distribution Network with High Renewable Energy Penetration

Khatib, Tamer; Sabri, Lama

doi:10.1155/2021/5430089

Cited by 14 publications

(10 citation statements)

References 20 publications

(15 reference statements)

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“…Thus, solar power is estimated to reach 8519 GW by 2050 [15]. Some impacts of solar power penetration have been reported in previous research, i.e., frequency stability [3], [16], voltage stability [17], over-current [18], grid harmonics [6], economic and environmental [19], [20].…”

Section: Introductionmentioning

confidence: 90%

Probabilistic load flow based voltage stability assessment of solar power integration into power grids

Rehiara,

Bawan,

Palintin

et al. 2024

Bulletin EEI

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The interconnection of renewable energies increases the complexity of modern power systems. Hence, stability assessments should be made to ensure the system’s stability after penetration. Solar power is a type of renewable energy that has become a widespread energy source among renewable energy sources. About 1 MWp of the solar power plant has been prepared to be interconnected to the IEEE 8 bus of Manokwari grid, and this paper investigates the voltage profile, power losses, and stability of the solar power plant penetration using an adaptive kernel density estimator (AKDE) and compares it to a Monte Carlo simulation (MCS)-based probabilistic load flow (PLF). About 5000 samples have been used to test the grid after the connection. Results of simulations show that the solar penetration can reduce power losses from 0.4084 MW to 0.3080 MW and 0.3045 MW by the proposed method and MCS method, respectively, and further increase the bus voltage profile. The power network has the stability to be connected to solar power, as indicated by the small stability index values of each bus. The proposed method using the AKDE method has a more accurate result in stability indices indicated by small fast voltage stability index (FVSI), line stability index (Lmn), and line stability factor (LQP) indices.

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Section: Introductionmentioning

confidence: 90%

Probabilistic load flow based voltage stability assessment of solar power integration into power grids

Rehiara,

Bawan,

Palintin

et al. 2024

Bulletin EEI

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“…Each conductor connects two nodes together, and the operating current increases the thermal inside the conductor. To satisfy the thermal limit, the operating current must not be higher than the rated current of the conductor as shown in the following inequality [52]:…”

Section: System Constraintsmentioning

confidence: 99%

Finding Optimal Solutions for the Placement of Reactive and Active Power Generation Components in Distribution Networks Using a High-Performance Metaheuristic Algorithm

Kien

Tuyet

Phan

et al. 2022

International Transactions on Electrical Energy Systems

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This paper proposes a modified slime mold algorithm (MSMA) for finding optimal site and size of both photovoltaic generators (PGs) and shunt capacitors (SCs) in radial distribution power systems (RDPSs). The most suitable site together with the most effective size of PGs and SCs can reduce currents of conductors effectively, resulting in the significant reduction of active power loss on all conductors. MSMA and two other applied algorithms, slime mold algorithm (SMA) and equilibrium optimizer (EO), are implemented for three study cases of IEEE 33, 69, and 85 RDPSs including Case (1) place only PGs with both active and reactive power generations; Case (2) place both SCs and PGs with only active power generation; and Case (3) place both SCs and PGs with both active and reactive power generations. Comparisons with SMA and EO, MSMA can reach either the same loss or much smaller loss for study cases. Furthermore, MSMA also outperforms other previously published methods for the three study cases, and it can reach significantly smaller loss for the three cases by 1.5%, 30.55%, and 19.64% for system 1, 7.59%, 0.26%, and 0.32% for system 2, and 7.51%, 34.2%, and 22.65% for system 3. As comparing the loss among three study cases obtained by MSMA, Case 3 can reach less loss than Case 1 and Case 2 by 11.71% and 11.64% for system 1, 26.27% and 26.13% for system 2, and the same 26.6% for system 3. Thus, it is recommended that MSMA is the most effective algorithm and the placement of both SCs and PGs with active and reactive power generations is the most optimal.

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“…The unregulated input voltage/current to the boost converter is denoted by V in /I in and the regulated output voltage/current is denoted by V DC /I DC . Therefore, the boost converter's inductance L and capacitance C are computed in (19) and (20), respectively, following the work of [37]. The DC load is modeled by resistor R, and the boost converter is switching at a frequency of f s = 20 kHz, with an allowed voltage ripple ∆V DC .…”

Section: Dc/dc Boost Convertermentioning

confidence: 99%

“…There have been active studies on stability of microgrids connected to the main grid [18][19][20] with some promise of good performance. The model for the islanded microgrid is developed by integrating all the inverter dynamics using a state-space model for the load currents [21].…”

Section: Introductionmentioning

confidence: 99%

Design of a Hybrid Energy System with Energy Storage for Standalone DC Microgrid Application

et al. 2021

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This paper presents microgrid-distributed energy resources (DERs) for a rural standalone system. It is made up of a solar photovoltaic (solar PV) system, battery energy storage system (BESS), and a wind turbine coupled to a permanent magnet synchronous generator (WT-PMSG). The DERs are controlled by maximum power point tracking (MPPT)-based proportional integral (PI) controllers for both maximum power tracking and error feedback compensation. The MPPT uses the perturb and observe (P&O) algorithm for tracking the maximum power point of the DERs. The PI gains are tuned using the Ziegler–Nichols method. The developed system was built and simulated in MATLAB/Simulink under two conditions—constant load, and step-load changes. The controllers enabled the BESS to charge even during conditions of varying load and other environmental factors such as change of irradiance and wind speed. The reference was tracked extremely well by the output voltage of the DC microgrid. This is useful research for electrifying the rural islanded areas which are too far from the grid.

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Grid Impact Assessment of Centralized and Decentralized Photovoltaic-Based Distribution Generation: A Case Study of Power Distribution Network with High Renewable Energy Penetration

Cited by 14 publications

References 20 publications

Probabilistic load flow based voltage stability assessment of solar power integration into power grids

Probabilistic load flow based voltage stability assessment of solar power integration into power grids

Finding Optimal Solutions for the Placement of Reactive and Active Power Generation Components in Distribution Networks Using a High-Performance Metaheuristic Algorithm

Design of a Hybrid Energy System with Energy Storage for Standalone DC Microgrid Application

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