Statistical Analysis of Photovoltaic Distributed Generation Penetration Impacts on a Utility Containing Hundreds of Feeders

Stecanella, Priscilla A. J.; Vieira, Daniel; Vasconcelos, Marcos V. Leite; Filho, Anesio de Leles Ferreira

doi:10.1109/access.2020.3024115

Cited by 26 publications

(7 citation statements)

References 41 publications

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“…The authors of [19] examined grid operators' experience in handling high penetration of RERs of up to 100% and suggested some new technologies for such higher penetrations. The effects of PV penetration on a distribution system with 100 feeders were statistically studied in [20], and it was concluded that 20% PV penetration requires strengthening the existing system to avoid voltage problems. The work also recommended conducting field studies as further work in this area.…”

Section: Literature Surveymentioning

confidence: 99%

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Reddy

Singh

2021

Energies

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The World Energy Council, in its 2019 World Energy Scenarios Report, advised policymakers to identify innovative opportunities for the integration of renewable energy resources into existing electrical power systems to achieve a fast and affordable solution. However, large-scale industries with cogeneration units are facing problems in handling the higher penetration levels of intermittent renewable energies. This paper addresses large-size photovoltaic power integration problems and their optimal operation. This work considers the case of a chemical industry having both cogeneration power and solar photovoltaics. Here, a modified firefly algorithm and a hybrid power resource optimization solver are proposed. The results of the proposed method are compared with other benchmark techniques, to confirm its advantages. The proposed techniques can be used in industries having cogeneration power plants with photovoltaics for better optimization and to meet the guidelines specified in IEEE 1547. The voltage ramp index is proposed to determine the voltage ramp up and down with intermittent solar irradiance. Additionally, a machine learning technique is used to predict the cogeneration plant efficiency at different loads and the solar irradiance under varying weather conditions. Finally, this paper proposes the effectiveness of the modified heuristic technique and certain guidelines, including solvers for industrial use.

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Section: Literature Surveymentioning

confidence: 99%

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Reddy

Singh

2021

Energies

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“…Renewable energy is an alternative to the traditional energy that relies on fossil fuels, and it tends to be much less harmful to the environment [1]- [3]. Photovoltaic (PV) generation is one of the most popular power generation sources among renewable energy sources, and worldwide growth of PV is extremely dynamic [4], [5]. By the end of 2019, a cumulative amount of 629 GW of solar power was installed throughout the world [6].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of a residential photovoltaic string under partial shading

Jung²

2023

IJECE

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<span lang="EN-US">As one of the most prominent renewable energy resources, Photovoltaic (PV) generation has been growing dramatically over the last years and its applications are classified into residential, commercial, and power plant class, based on its power capacity. Especially, a typical residential PV system has been configured with serially connected PV modules. For serially connected PV modules, shading is a critical factor to reduce the whole string PV output power. This paper presents study on performance analysis of a residential PV string under partial shading. This analysis contains how many maximum power points (MPPs) occur and how much power would be lost while a PV string is under partial shading with different shading positions and different shading intensities. PSIM simulation tool is used to verify the performance analysis. As a result, the number of MPPs is directly related with the number of shading intensities, regardless of the shading position. In this paper, it was verified that 8 maximum power points were generated for 8 solar intensities regardless of the location of the shadows under extreme conditions. These results can be utilized for fault diagnosis in the PV string.</span>

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“…In the mode of photovoltaic (PV) power generation, distributed photovoltaic (DPV) has been vigorously developed [1]. DPV has many advantages and technological superiorities, such as nearby power supply, clean and efficient, and convenient and flexible, etc.…”

Section: Introductionmentioning

confidence: 99%

A static voltage stability index based on P-V curve for the medium-voltage distribution network with distributed PV

Li,

Gao,

Jiang

2023

J. Phys.: Conf. Ser.

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With the rapid increase of distributed photovoltaic (DPV) generations, the static voltage stability (SVS) of distribution network (DN) is faced with more and more challenges. Considering the characteristics of DPV and the network structure, an appropriate static voltage stability index (SVSI) in the medium-voltage DN with DPV is studied in this paper. In terms of the limitation of the traditional SVSI that only reflects the load change, based on P-V curve, a novel voltage change rate - network load change rate index (M-index) is proposed. The M-index considers the impacts of double changes in DPV power output and load level. The model of classic 33-node network with a DPV source is established to investigate the proposed M-index. By changing the DPV penetration percentage and the DPV access point, and comparing with the existing Load-index, the validity and superiority of M-index is verified. Comparing with the traditional SVSI, the M-index is more propitious to evaluate the SVS for the medium-voltage DN with DPV.

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Statistical Analysis of Photovoltaic Distributed Generation Penetration Impacts on a Utility Containing Hundreds of Feeders

Cited by 26 publications

References 41 publications

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Optimal Operation of a Photovoltaic Integrated Captive Cogeneration Plant with a Utility Grid Using Optimization and Machine Learning Prediction Methods

Performance analysis of a residential photovoltaic string under partial shading

A static voltage stability index based on P-V curve for the medium-voltage distribution network with distributed PV

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