Optimal hybrid system design based on renewable energy resources

Chamandoust, Heydar; Hashemi, Abozar; Derakhshan, Ghasem; Abdi, B.

doi:10.1109/sgc.2017.8308878

Cited by 20 publications

(13 citation statements)

References 11 publications

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“…Therefore, several more sophisticated power transformer fault diagnosis technologies have been developed to improve the diagnostic capability using SVM, fuzzy neural network (NN) [13], AI [14]- [15] and related machine learning-based methods [16].…”

Section: Related Workmentioning

confidence: 99%

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A Methodology for Diagnosing Faults in Oil-Immersed Power Transformers Based on Minimizing the Maintenance Cost

Lin

Chen

2020

IEEE Access

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Section: Related Workmentioning

confidence: 99%

“…Chamandoust et al [14] adopted a dual optimization method for the development and design of a hybrid system, with the goals of optimizing the net cost and operating cost. Moreover, this method incorporated many considerations, such as wind turbine, solar cell, and fuel cell characteristics.…”

Section: Related Workmentioning

confidence: 99%

A Methodology for Diagnosing Faults in Oil-Immersed Power Transformers Based on Minimizing the Maintenance Cost

Lin

Chen

2020

IEEE Access

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“…Although the presence of DG in power networks can be beneficial [4,5], it produces a structural transformation, failing to behave as a classical radial distribution network. Reversed power flows can occur both in steady state and in the presence of faults [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Effect of Distributed Photovoltaic Generation on Short-Circuit Currents and Fault Detection in Distribution Networks: A Practical Case Study

et al. 2021

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The increase in the installation of renewable energy sources in electrical systems has changed the power distribution networks, and a new scenario regarding protection devices has arisen. Distributed generation (DG) might produce artificial delays regarding the performance of protection devices when acting as a result of short-circuits. In this study, the preliminary research results carried out to analyze the effect of renewable energy sources (photovoltaic, wind generation, etc.) on the protection devices of a power grid are described. In order to study this problem in a well-defined scenario, a quite simple distribution network (similar to the ones present in rural areas) was selected. The distribution network was divided into three protection zones so that each of them had DG. In the Institute of Electrical and Electronic Engineers (IEEE) system 13 bus test feeder, the short-circuits with different levels of penetration were performed from 1 MVA to 3 MVA (that represent 25%, 50%, and 75% of the total load in the network). In the simulations carried out, it was observed that the installation of DG in this distribution network produced significant changes in the short-circuit currents, and the inadequate performance of the protection devices and the delay in their operating times (with differences of up to 180% in relation to the case without DG). The latter, that is, the impacts of photovoltaic DG on the reactions of protection devices in a radial distribution network, is the most relevant outcome of this work. These are the first results obtained from a research collaboration framework established by staff from ETSI Civil and the IDR/UPM Institute, to analyze the effect of renewable energy sources (as DG) on the protection devices of a radial distribution network.

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“…Usually, the microgrid is based on RESs such as wind, solar, hydro etc. [5]. Among these RESs, the solar and wind are abundantly available.…”

Section: Introductionmentioning

confidence: 99%

Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system

Kewat

Singh

2019

IET Power Electronics

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This study deals with the modified amplitude adaptive notch filter (AANF)-based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a storage battery. The main objective of the proposed modified AANF (MAANF)-based control algorithm is to control the flow of active and reactive powers among the different energy sources and the load, along with the regulation of the point of common coupling (PCC) voltages and mitigation of the source current harmonics. The advanced features of proposed control algorithm are the DC-offset rejection from the input signal and fast frequency estimation, which enable the MAANF control algorithm to rapidly and accurately estimate the fundamental components of the distorted load currents. Therefore, the estimated reference source currents remain immune to the DC offset and various harmonic currents. The active power balance is achieved by regulating the DC-link voltage using a bidirectional DC-DC converter, which is connected between the DC link of the voltage source converter and a storage battery. Test results have validated the control algorithm under various steady-state and dynamic operating conditions.

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Optimal hybrid system design based on renewable energy resources

Cited by 20 publications

References 11 publications

A Methodology for Diagnosing Faults in Oil-Immersed Power Transformers Based on Minimizing the Maintenance Cost

A Methodology for Diagnosing Faults in Oil-Immersed Power Transformers Based on Minimizing the Maintenance Cost

Effect of Distributed Photovoltaic Generation on Short-Circuit Currents and Fault Detection in Distribution Networks: A Practical Case Study

Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system

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