Impacts of High Penetration of Solar Pv Systems and Smart Inverter Developments

doi:10.1002/9781119214236.ch1

Cited by 8 publications

(2 citation statements)

References 65 publications

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“…PV is one of the most promising renewable power generation options. Surge in PV power generation system (PV) installation activity will cause significant voltage increase and frequency variations as a result of the climate-driven variations [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Curtailment Level of PV Power Output in Different Regions in Consideration of the Reduction in Aggregated PV Power

Harag¹,

Urabe²,

Kato³

2024

RE&PQJ

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Due to the extremely high penetration of photovoltaic power generation system (PV), the power output curtailment (Cr) of PV is necessary not only to maintain supply-demand balance but also to preserve enough capacity for the frequency control. Although the Cr level for the aggregated PV in the power system service area is determined in a day-ahead unit commitment (UC) scheduling, the Cr for individual PV with different weather conditions should be allocated so that the fluctuation of aggregated PV power output is minimized. Assuming that the short-term forecasting of individual PV power output fluctuations characteristics is available, the objective of this study is to propose methods for optimal short-term allocation of Cr level among each region. The proposed methods have proven their effectiveness in meeting the predetermined average PV power ouput as well as reducing the fluctuations of the overall system.

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Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Curtailment Level of PV Power Output in Different Regions in Consideration of the Reduction in Aggregated PV Power

Harag¹,

Urabe²,

Kato³

2024

RE&PQJ

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“…RESs are characterized by their low operation costs and carbon dioxide "CO2" emissions, making the energy they produce more environmentally friendly; however, these resources face massive technical and economic challenges, such as frequency instability, voltage deviation, and output power uncertainty. These issues contribute to reducing RESs' feasibility and reliability, especially when utilized for stand-alone applications [2][3][4]. Consequently, governments and energy lanners and developers should reconsider the technical challenges and different cost aspects of the widespread deployment of RESs.…”

Section: Introductionmentioning

confidence: 99%

A Sensorless Intelligent System to Detect Dust on PV Panels for Optimized Cleaning Units

Alfaris

2023

Energies

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Deployment of photovoltaic (PV) systems has recently been encouraged for large-scale and small-scale businesses in order to meet the global green energy targets. However, one of the most significant hurdles that limits the spread of PV applications is the dust accumulated on the PV panels’ surfaces, especially in desert regions. Numerous studies sought the use of cameras, sensors, power datasets, and other detection elements to detect the dust on PV panels; however, these methods pose more maintenance, accuracy, and economic challenges. Therefore, this paper proposes an intelligent system to detect the dust level on the PV panels to optimally operate the attached dust cleaning units (DCUs). Unlike previous strategies, this study utilizes the expanded knowledge and collected data for solar irradiation and PV-generated power, along with the forecasted ambient temperature. An expert artificial intelligence (AI) computational system, adopted with the MATLAB platform, is utilized for a high level of data prediction and processing. The AI was used in this study in order to estimate the unprovided information, emulate the provided measurements, and accommodate more input/output data. The feasibility of the proposed system is investigated using actual field data during all possible weather conditions.

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Laguerre polynomial function‐based inverter control with low‐voltage ride‐through capabilities

Pandey

Singh

2022

Circuit Theory & Apps

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This work discusses the design of a Laguerre polynomial (LP)‐based control technique to govern the functioning of a single‐phase grid connected to a voltage source converter (VSC). The controller is trained online using the least means square (LMS) approach to compute the load fundamental current. The controller is designed to alleviate power quality (PQ) issues and work in different modes. Apart from the normal operation mode, the controller is provided with an additional capability to ride over voltage sags caused by grid faults. During this low‐voltage ride‐through (LVRT) mode, the VSC injects the required reactive power to grid. The work demonstrates the results under normal grid conditions when the system can function in unity power factor (UPF) as well as in abnormal grid conditions when it needs to operate in LVRT mode. Extensive simulation and experimental results under various cases have been discussed with the proposed LP‐based controller to demonstrate the feasibility of the approach.

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Impacts of High Penetration of Solar Pv Systems and Smart Inverter Developments

Cited by 8 publications

References 65 publications

Optimal Allocation of Curtailment Level of PV Power Output in Different Regions in Consideration of the Reduction in Aggregated PV Power

Optimal Allocation of Curtailment Level of PV Power Output in Different Regions in Consideration of the Reduction in Aggregated PV Power

A Sensorless Intelligent System to Detect Dust on PV Panels for Optimized Cleaning Units

Laguerre polynomial function‐based inverter control with low‐voltage ride‐through capabilities

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