Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm

Moghaddam, Mohammad Jafar Hadidian; Kalam, Akhtar; Nowdeh, Saber Arabi; Ahmadi, Abdollah; Babanezhad, Manoochehr; Saha, Sajeeb

doi:10.1016/j.renene.2018.09.078

Cited by 227 publications

(70 citation statements)

References 42 publications

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“…Several design/ simulation studies [12][13][14][15][16][17]29] have highlighted the importance of optimal sizing of battery energy storage system to ensure uninterrupted energy availability, improved life span of battery, less maintenance and cost, etc. The present work on simulation of the integrated system is primarily experimental and is focused on dealing with natural fluctuations that arise both from supply side (solar PV) and demand side (residential load) in a solar PV-VRFB integrated system.…”

Section: Introductionmentioning

confidence: 99%

Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load

2021

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Integration of renewable energy sources such as solar photovoltaic (PV) generation with variable power demand systems like residential electricity consumption requires the use of a high efficiency electrical energy system such as a battery. In the present study, such integration has been studied using vanadium redox flow battery (VRFB) as the energy storage system with specific focus on the sizing of the power and energy storage capacities of the system components. Experiments have been carried out with a seven-day simulated solar insolation and residential load characteristics using a 1 kW VRFB stack and variable amounts of electrolyte volume. Several scenarios have been simulated using power and energy scale factors. Battery response, in terms of its power, state of charge and efficiency, has been monitored in each run. Results show that the stack power rating should be based on peak charging characteristics while the volume of electrolyte should be based on the expected daily energy discharge through the battery. The PV source itself should be sized at about 25% more energy rating than the average daily load. The ability to design a VRFB with a high power-to-energy ratio makes it particularly attractive for PV-load integration.

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Section: Introductionmentioning

confidence: 99%

Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load

2021

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“…The initial cost c I is the total sum of WT cost c t , installation cost c Ins and grid connection cost c G . The task to minimise the Net Present Value (NPV) is done [81] and summarise the cost analysis involved during WT performance. The objective function is defined as…”

Section: Cost Analysismentioning

confidence: 99%

Layout optimisation algorithms and reliability assessment of wind farm for microgrid integration: A comprehensive review

Kumar

Saket

Dheer

et al. 2021

IET Renewable Power Gen

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The paper represents a comprehensive review of the wind farm layout and reliability assessment of the wind farm integrated electrical power system. The authors have done a review on the proliferation of renewable energy which raises the uncertainties in the electrical power system. The uncertainties including wind speed and wake effect are important to deal with when an isolated microgrid is considered. The scenario becomes vigilant when the wind farms are integrated with the main grid. Due to uncertainties, the study of reliability evaluation of a wind integrated power system would become significant to analyse the electrical power system behaviour effectively. So, the paper discusses the layout optimisation methods of wind turbines considering the uncertainty parameters, mainly the wake effect. In this regard, the different wake models and optimisation methods based on a single-objective and multi-objective functions are reviewed in detail with the proper comparisons. The paper serves as a better illustration of the competency of these optimisation methods on the optimal wind turbine location on a wind farm. Furthermore, the paper extends the view on the reliability and cost assessment, and reliability improvement techniques of the wind integrated power system. This article provides comprehensive information, yields an attractive and subsequent tool for research requirements for the researchers to design the wind farm layout, and assessed the reliability of a wind integrated power system.

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“…In Reference [36], HS was used to design a hybrid PV/diesel energy based on the minimization of ASC and CO 2 emissions. In Reference [37], the optimal sizing of a PV/WTGs/FC energy system was achieved by FPA to minimize the NPC, LOLE, and LOEE. In Reference [38], the grasshopper optimization algorithm (GOA) was used to determine the optimal sizing of a HES including PV/WTGs/battery/diesel based on minimizing COE and zero DPSP.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Optimization of Small-Scale Hybrid Energy Systems Using Manta Ray Foraging Optimizer

et al. 2020

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Hybrid energy systems (HESs) are becoming popular for electrifying remote and rural regions to overcome the conventional energy generation system shortcomings and attain favorable technical and economic benefits. An optimal sizing of an autonomous HES consisting of photovoltaic technology, wind turbine generator, battery bank, and diesel generator is achieved by employing a new soft computing/metaheuristic algorithm called manta ray foraging optimizer (MRFO). This optimization problem is implemented and solved by employing MRFO based on minimizing the annualized system cost (ASC) and enhancing the system reliability in order to supply an off-grid northern area in Saudi Arabia. The hourly wind speed, solar irradiance, and load behavior over one year are used in this optimization problem. As for result verification, the MRFO is compared with five other soft computing algorithms, which are particle swarm optimization (PSO), genetic algorithm (GA), grasshopper optimization algorithm (GOA), big-bang-big-crunch (BBBC) algorithm, and Harris hawks optimization (HHO). The findings showed that the MRFO algorithm converges faster than all other five soft computing algorithms followed by PSO, and GOA, respectively. In addition, MRFO, PSO, and GOA can follow the optimal global solution while the HHO, GA and BBBC may fall into the local solution and take a longer time to converge. The MRFO provided the optimum sizing of the HES at the lowest ASC (USD 104,324.1), followed by GOA (USD 104,347.7) and PSO (USD 104,342.2) for a 0% loss of power supply probability. These optimization findings confirmed the supremacy of the MRFO algorithm over the other five soft computing techniques in terms of global solution capture and the convergence time.

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Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm

Cited by 227 publications

References 42 publications

Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load

Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load

Layout optimisation algorithms and reliability assessment of wind farm for microgrid integration: A comprehensive review

Techno-Economic Optimization of Small-Scale Hybrid Energy Systems Using Manta Ray Foraging Optimizer

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