Model for optimum design of standalone hybrid renewable energy microgrids

Abdulkarim, Abubakar; Abdelkader, Sobhy M.; Morrow, D. John

doi:10.4314/jfas.v9i2.30

Cited by 13 publications

(11 citation statements)

References 13 publications

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“…Recently in [34] model for the optimum design hybrid renewable energy microgrid is proposed, the model minimized system cost while the ratio of cost to reliability minimised. Other effort includes the optimal sizing of a pv/wind/diesel hybrid energy system that can supply a building in Malaysia.…”

Section: Research Efforts In Optimum Design Of Microgridsmentioning

confidence: 99%

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State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

Abdulkarim¹,

Фарук

Oloyode

et al. 2018

Elektrika

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This paper has presented a comprehensive review in the area of microgrid from the design to implementation. The aim is to evaluate the current status, problems and research efforts toward realising functional microgrids in the power system. The expectations about microgrid are many; therefore the study is divided into three main sections. Recent advancements in the wind energy, solar energy and their future prediction are summarised. States of arts in optimum design of renewable energy microgrid are also investigated. In addition, critical literature review in the reliability analysis of microgrids consisting of renewable energy sources is also reported. Control of microgrids consisting renewable energy sources have been presented. Some examples of existing microgrids across the globe are critically reviewed. The work therefore recommends that energy planners and all stakeholders should consider environmental and regional difference in microgrids planning. Finally, future research areas and directions in these areas are highlighted.

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Section: Research Efforts In Optimum Design Of Microgridsmentioning

confidence: 99%

“…Reliability is defined as the probability that a system, product or service operates properly for a specific period of time under operating conditions without failures [34]. Irrespective of the system configuration, the reliability of the system is the most important factor for system planners.…”

Section: Research Efforts In Reliability Studies Of Microgridsmentioning

confidence: 99%

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

Abdulkarim¹,

Фарук

Oloyode

et al. 2018

Elektrika

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“…Modelling using this approach, the number of the wind turbine generator is modelled as a decision variable, such that, the model decides on the capacity for each design. This presentation enables to linearly approximate the wind speed and output power in the range cut-In velocity and the rated velocity of the wind turbine generator ( Vci<V<Vr) [18] . After the random distribution is obtained, the power output of the WECS is expressed as a function of wind speed and determined using Equation (1) [18],…”

Section: Output Power Of Wind Energy Conversionmentioning

confidence: 99%

“…This presentation enables to linearly approximate the wind speed and output power in the range cut-In velocity and the rated velocity of the wind turbine generator ( Vci<V<Vr) [18] . After the random distribution is obtained, the power output of the WECS is expressed as a function of wind speed and determined using Equation (1) [18],…”

Section: Output Power Of Wind Energy Conversionmentioning

confidence: 99%

Effects of PV and Battery Storage Technologies on the Optimal Sizing of Renewable Energy Microgrid

Abdulkarim¹,

Abdelkader²,

Morrow³

et al. 2018

Elektrika

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This paper presents analyses of the model for the optimum design of standalone hybrid microgrid. The model is developed with the aim of optimizing system component sizing that can reliably satisfy isolated loads. The objective function is to minimize the annual cost of the plant while taking all constraints into consideration. Mixed integer linear programming technique is used to solve the optimization problem. By applying some approximations, the output power of the wind energy conversion system is expressed as a linear function of wind speed. Effects of different PV technologies and the rated power of each unit have been investigated. The results have shown the ability of the proposed model by reducing the cost of energy by 89.35%, 90.26%, 88.3530%, and 89.99% for AP120, ASE 300, KC120 and SAPC165 respectively. In the same way the carbon dioxide emission is reduced by 83%, 82.82%, 82.51% and 73.48 in the same order of the PV modules. Also, the optimal design is sensitive to the rated power of the WECS and SECS, while the benefit-to-cost ratio and payback period are sensitive to the storage technology.

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“…Many models are available for simulating the electrical power of a wind turbine generator. The magnitude of the power that can be produced by a practical wind turbine generator is simulated using [27]. { ≤ ≤ ≥ where is the rated electrical power, is the cut-inspeed, is the rated wind speed, is the cut-off wind speed.…”

Section: Wind Power Classificationmentioning

confidence: 99%

Statistical analysis of wind speed for electrical power generation in some selected sites in northern Nigeria

et al. 2018

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In this paper, statistical analysis is carried out to determine the accurate frequency distribution that fits wind speed data. The frequency distributions used include Weibull, Rayleigh and Gamma distribution functions. The performances of the probability distributions are based on the error evaluations between the predicted and the theoretical wind power densities of the site. The Results show that Weibull distribution modelled the wind speed better compared to other distribution functions. According to the European Wind Energy Association, most of the sites are suitable for the generation of electrical energy. Also, the results have shown that Jos, Kano and Minna fall in class 4 and therefore suitable for both off grid and grid connected modes. In addition, the effects of c and k parameters on the probability distribution functions have been presented.

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Model for optimum design of standalone hybrid renewable energy microgrids

Cited by 13 publications

References 13 publications

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

Effects of PV and Battery Storage Technologies on the Optimal Sizing of Renewable Energy Microgrid

Statistical analysis of wind speed for electrical power generation in some selected sites in northern Nigeria

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