Mitigation of Power Quality Problems in Grid-Interactive Distributed Generation System

Bhende, Chandrashekhar N.; Kalam, Akhtar; Malla, Siva Ganesh

doi:10.1515/ijeeps-2015-0163

Cited by 24 publications

(2 citation statements)

References 21 publications

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“…The continuous use of power electronics-based devices and the harmonic components produced by these devices cause serious power quality problems in solar power systems and negatively affect the energy quality transferred to the load [27][28]. As a consequence, heat losses in the solar system, drilling of compensation capacitors and a decrease efficiency of PV system.…”

Section: Relationship Between Pf and Thdmentioning

confidence: 99%

The quality problems in low irradiance at grid connected photovoltaic systems

Adak

2022

Preprint

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Solar Photovoltaic (PV) energy is one of the main topics that have attracted the attention of researchers in recent years. The use of solar energy is increasing rapidly in the world. Although PV energy has many advantages, it has some disadvantages. Among these disadvantages, power factor (PF) and Total Harmonic Distortion (THD) issues are discussed in this article. PF and THD are dependent on the radiation values. The solar inverter output voltage and current waveform should be in sinusoidal waveform. However, the sinusoidal waveform of current and voltage lose their sinusoidal characteristics due to non-linear loads on grid-connected solar system. Harmonic components often occur in grid-connected solar PV systems. In addition, at low irradiance the amplitude of harmonic components increases, whereas the power factor of the PV system decreases. Low power factor and high amplitude of harmonics cause the efficiency of the solar system to decrease. PF and THD values were measured in a particular cloudy day for analysis. The grid-connected PV system was modeled by using Matlab /simulation program and carried out the analysis of the solar PV system. Thus, the analytical expression of the PF and THDI dependent on irradiation were found with a new method by using statistical package for the social sciences (SPSS) program and curve fitting method.

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Section: Relationship Between Pf and Thdmentioning

confidence: 99%

The quality problems in low irradiance at grid connected photovoltaic systems

Adak

2022

Preprint

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“…Matrix Laboratory [86][87][88][89][90][91][92][93][94][95][96][97][98] It performs numerical computations in such a manner that ensures flexibility of creating models and then using different blocks to represent the model; the tool can interoperate with Simulink tool box [87,88]. It is a sophisticated software that can model and simulate different aspects of electrical systems, including the technical, economic and control aspects of microgrids [89][90][91], optimization [92], voltage analysis, etc.…”

Section: Matlabmentioning

confidence: 99%

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

et al. 2021

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Energy systems modelling and design are a critical aspect of planning and development among researchers, electricity planners, infrastructure developers, utilities, decision-makers, and other relevant stakeholders. However, to achieve a sustainable energy supply, the energy planning approach needs to integrate some key dimensions. Importantly, these dimensions are necessary to guide the simulation and evaluation. It is against this backdrop that this paper focuses on the simulation and analysis approaches for sustainable planning, design, and development of microgrids based on clean energy resources. The paper first provides a comprehensive review of the existing simulation tools and approaches used for designing energy generation technologies. It then discusses and compares the traditional strategies and the emerging trends in energy systems simulation based on the software employed, the type of problem to be solved, input parameters provided, and the expected output. The paper introduces a practical simulation framework for sustainable energy planning, which is based on the social-technical-economic-environmental-policy (STEEP) model. The STEEP represents a holistic sustainability model that considers the key energy systems planning dimensions compared to the traditional techno-economic model used in several existing simulation tools and analyses. The paper provides insights into data-driven analysis and energy modelling software development applications.

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