Discrete optimization algorithm for optimal design of a solar/wind/battery hybrid energy conversion scheme

Zhang, Weiping; Maleki, Akbar; Birjandi, Ali Komeili; Nazari, Mohammad Alhuyi; Mohammadi, Omid

doi:10.1093/ijlct/ctaa067

Cited by 36 publications

(20 citation statements)

References 46 publications

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“…This IDM is better due to small NDZ, low computation time, and less influenced by noise than timefrequency transform coefficients of the voltage signal. There are various techniques for optimal placement of DGs in the utility grid, optimal sizing of DGs, application of battery energy storage, off-grid applications of DGs, optimal solar PV system design, wind energy system & hybrid energy systems are investigated by authors in [21]- [25]. These studies will help to design the remotely located distribution grids for the different scenarios to implement the IDMs.…”

Section: A Related Workmentioning

confidence: 99%

Estimation of Islanding Events in Utility Distribution Grid With Renewable Energy Using Current Variations and Stockwell Transform

Mahela¹,

Sharma²,

Ali³

et al. 2021

IEEE Access

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This research work has designed an algorithm to identify islanding events using the current signals in a distribution grid interfaced with renewable energy (RE) sources and remote areas. A medianbased islanding recognition factor (MIRF) is designed by processing the current signal using Stockwell transform (ST). A current rate of change of islanding recognition factor (CRCIRF) is computed by differentiating the root mean square (RMS) current concerning time. The MIRF and CRCIRF are multiplied element by element to calculate the current-based islanding recognition factor (IRFC) used to recognize islanding events and non-islanding events. Simple decision rules are used to discriminate Islanding events from the faulty and the operational events by comparing peak magnitude of IRFC with pre-set threshold values. This IDM effectively recognizes islanding events in the presence of noise with 10 dB signal-to-noise (SNR) level. The performance of IDM is established on a practical distribution feeder. Developed work is executed in MATLAB/Simulink.

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Section: A Related Workmentioning

confidence: 99%

Estimation of Islanding Events in Utility Distribution Grid With Renewable Energy Using Current Variations and Stockwell Transform

Mahela¹,

Sharma²,

Ali³

et al. 2021

IEEE Access

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“…A more complete overview, but for automotive applications, can be found in [20]. Some recent literature [32] presents the optimization of the energy conversion scheme for off-grid applications which might be also interesting to ship applications. Reviewing all the above mentioned studies highlights two facts.…”

Section: Introductionmentioning

confidence: 99%

“…The second one is that the system level optimization architectures developed for automotive applications could be tried to solve the design problem for marine applications. [32] This project aims to look into the feasibility of the hydrogen based ship hybridization for several different types of ships, as well as the effect of hybridization on the reduction of CO 2 emissions. This paper presents a part of our current work on applying a multi-objective double-layer optimization methodology to sizing and control of a hybrid ship propulsion system.…”

Section: Introductionmentioning

confidence: 99%

Sizing and Control of a Hybrid Ship Propulsion System Using Multi-Objective Double-Layer Optimization

et al. 2021

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Ship hybridization has received some interests recently in order to achieve the emission target by 2050. However, designing and optimizing a hybrid propulsion system is a complicated problem. Sizing components and optimizing energy management control are coupled with each other. This paper applies a nested double-layer optimization architecture to optimize the sizing and energy management of a hybrid offshore support vessel. Three different power sources, namely diesel engines, batteries and fuel cells, are considered which increases the complexity of the optimization problem. The optimal sizing of the components and their corresponding energy management strategies are illustrated. The effects of the operational profiles and the emission reduction targets on the hybridization design are studied for this particular type of vessel. The results prove that a small emission reduction target of about 10% can be achieved by improving the diesel engine efficiency using the batteries only while the achievement of a larger emission reduction target mainly depends on the amount of the hydrogen and/or on-shore charging electricity consumed. Some design guidelines for hybridization are derived for this particular ship which could be also valid for other vessels with similar operational profiles.INDEX TERMS Hybrid, offshore support vessel, sizing, control, energy management.

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“…e need for cooling devices in various industries such as building [1], electronic devices [2], and solar applications [3][4][5][6] has increased so that various researches have been conducted on this field. us, enhancing the performance of heat transfer and thermal storage systems is very important and has gained lots of interest [7].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Counterflow Microchannel Heat Exchanger with Hybrid Nanoparticles and PCM Suspension as a Coolant

Hasan

Khafeef

Mohammadi

et al. 2021

Mathematical Problems in Engineering

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The effect of the hybrid suspension on the intrinsic characteristics of microencapsulated phase change material (MEPCM) slurry used as a coolant in counterflow microchannel heat exchanger (CFMCHE) with different velocities is investigated numerically. The working fluid used in this paper is a hybrid suspension consisting of nanoparticles and MEPCM particles, in which the particles are suspended in pure water as a base fluid. Two types of hybrid suspension are used (Al2O3 + MEPCM and Cu + MEPCM), and the hydrodynamic and thermal characteristics of these suspensions flowing in a CFMCHE are numerically investigated. The results indicated that using hybrid suspension with high flow velocities improves the performance of the microchannel heat exchanger while resulting in a noticeable increase in pressure drop. Thereupon, it causes a decrease in the performance index. Moreover, it was found that the increment of the nanoparticles’ concentration can rise the low thermal conductivity of the MEPCM slurry, but it also leads to a noticeable increase in pressure drop. Furthermore, it was found that as the thermal conductivity of Cu is higher than that for Al2O3, the enhancement in heat transfer is higher in case of adding Cu particles compared with Al2O3 particles. Therefore, the effectiveness of these materials depends strongly on the application at which CFMCHE is employed.

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Discrete optimization algorithm for optimal design of a solar/wind/battery hybrid energy conversion scheme

Cited by 36 publications

References 46 publications

Estimation of Islanding Events in Utility Distribution Grid With Renewable Energy Using Current Variations and Stockwell Transform

Estimation of Islanding Events in Utility Distribution Grid With Renewable Energy Using Current Variations and Stockwell Transform

Sizing and Control of a Hybrid Ship Propulsion System Using Multi-Objective Double-Layer Optimization

Investigation of Counterflow Microchannel Heat Exchanger with Hybrid Nanoparticles and PCM Suspension as a Coolant

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