Constructing A Multi-Microgrid with the Inclusion of Renewable Energy in Oman's Rural Power System

Hosseinzadeh, Nasser; Shereiqi, A. Al; Badi, Mohammed Al; Al-Hinai, Amer

doi:10.24200/tjer.vol15iss1pp61-72

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…The rate of power consumption around the globe is still increasing dramatically, yet the fossil fuels remain the main player to serve that energy demand even with their negative environmental effects. For these reasons, more researchers were motivated to seek new sources of energy that are clean, renewable and cost effective [1][2][3]. Wind energy is considered one of the most favourable renewable energies and active solution for environmental degradation for more years to come.…”

Section: Motivation and Incitementmentioning

confidence: 99%

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Wind speed estimation based on a novel multivariate Weibull distribution

Salim

Dorrah

Hassan

2019

IET Renewable Power Generation

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Good practice in smart grids is networked sensors topologies which give the ability to fuse sensors to obtain a new feature based on sensors' complementarity. Moreover, to get a prediction based on other sensors, possibly in other areas, in case of sensor failure. This ability may be achieved by correlating sensor data based on their historical observations. This study addresses the problem of stochastic multivariate modelling within the framework of cyber-physical systems. Weibull distribution function (WDF) was found to be the best probability distribution function to fit wind variations. The main idea of this study is to propose a generalised multivariate stochastic model to describe the joint probability between multi-stochastic variables. A novel multivariate WDF for wind modelling is proposed to estimate wind speed in one location based on wind speed data on other location(s). The suggested approach is applied to three cases to demonstrate the efficacy of the developed technique. It is pointed out that this approach could be generalised for the multivariate WDF of wind modelling situations. Finally, it is shown that there are existing structures resemblances between the wind Weibull versus normal distribution models arising from the fact WDF reflects a natural phenomenon with some restrictions. Nomenclature A ω area which rotor blades cover (m 2) C p power coefficient C scale factor f v Weibull distribution function (WDF) F v cumulative distribution function f r j frequency of wind speed in a histogram K shape factor M number of locations that have wind data µ mean value N number of wind data n j number of wind points that fall inside the bin characterised by the wind speed ρ correlation factor ρ 1 correlation factor between variables 1 and 2 ρ 2 correlation factor between variables 1 and 3 ρ 3 correlation factor between variables 2 and 3 ρ ω air density σ standard deviation Σ covariance matrix v series wind speed v i wind speed X variable in Gaussian function IET Renew. Power Gener.

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Section: Motivation and Incitementmentioning

confidence: 99%

“…Wind energy is considered one of the most favourable renewable energies and active solution for environmental degradation for more years to come. Many countries began to replace fossil fuels with their available wind energy resource [1][2][3][4][5].…”

Section: Motivation and Incitementmentioning

confidence: 99%

Wind speed estimation based on a novel multivariate Weibull distribution

Salim

Dorrah

Hassan

2019

IET Renewable Power Generation

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“…The voltage and frequency of the microgrid are determined. When the microgrid is disconnected from the mains and operates in island mode, the control strategy must be changed to provide a reference for frequency and voltage [12]. A droop control scheme is generally used by paralleling multiple inverters [13] in which the voltage and frequency of each inverter are adjusted in order to control the active and reactive power.…”

Section: Introductionmentioning

confidence: 99%

Performance improvement of decentralized control for bidirectional converters in a DC micro-grid

Abbasi

Nafar

Simab

2021

IJPEDS

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In this paper, using a neural controller and a genetic optimization algorithm to control the voltage as well as, control the frequency of the grid along with the management of the reactive power of the micro-grid to control the output power during islanding using Simultaneous bilateral power converters with voltage/frequency droop strategy and optimization of PI coefficients of parallel power converters by genetic-neural micro-grid algorithm to suppress AC side-current flow that increases stability and improvement of conditions frequency and voltage are discussed. Given the performance of the micro-grid in two simulation scenarios, namely transition from on-grid to off-grid, the occurrence of a step change in load in island mode as well as return to working mode is connected. The ability to detect the robust performance and proper performance of two-level neural controller. The controller performance time was also very good, indicating the appropriate features of the method used to design the controller, namely two-level neural, genetics. The main advantage of this method is its simplicity of design. The method used is also efficient and resistant to changes in the system, which results from the simulations.

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Navigating the path to sustainable energy transition in Oman: a systematic literature review and future research opportunities

Zubairu,

Mohammed,

Zohny

2024

MEQ

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PurposeDespite the increasing demand for renewable energy (RE) as a low-carbon energy source, the transition to RE is very slow in many regions, including Oman, the case country for this study. It is critical to offer strategic insights to energy supply chain participants towards the sustainable transition to renewable energy (STRE). The purpose of this study is to identify viable RE sources in Oman as a case study of a GCC member country, develop a comprehensive framework of STRE, and suggest future research opportunities.Design/methodology/approachThe paper addressed this problem through a country/regional study of Oman by conducting a systematic literature review (SLR) of RE-related peer-reviewed publications spanning over 21 years from January 2000 to February 2021. The qualifying articles are evaluated using template analysis qualitatively to identify viable renewable energy sources, build a holistic framework of STRE and recommend future research opportunities.FindingsFindings confirm the potential of solar, wind, biomass and geothermal energies driven by environmental, economic and social sustainability concerns. However, results suggest that to fast-track the STRE, more emphasis should be accorded to solar and wind energies owing to the geographical composition of Oman. Findings reveal that policies and regulations, advanced and cost-effective technologies, subsidy regimes, grid connectivity and capacity, storage capacity and land availability influence the STRE. Gaps in the literature are identified from the results to clarify and suggest future research opportunities.Originality/valueTo the best of the authors’ knowledge, this is the first study that conducted an SLR that was evaluated using the template analysis technique to build a novel and updated framework that facilitates a crystalline understanding of STRE to guide policymakers and professionals in strategic decision-making.

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Constructing A Multi-Microgrid with the Inclusion of Renewable Energy in Oman's Rural Power System

Cited by 4 publications

References 26 publications

Wind speed estimation based on a novel multivariate Weibull distribution

Wind speed estimation based on a novel multivariate Weibull distribution

Performance improvement of decentralized control for bidirectional converters in a DC micro-grid

Navigating the path to sustainable energy transition in Oman: a systematic literature review and future research opportunities

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