Optimal Sizing and Design of Isolated Micro-Grid systems

Abdel-hamed, Alaa M.; Ellissy, Kamel; Adly, Ahmed R.; Abdelfattah, H.

doi:10.21625/essd.v4i3.673

Cited by 3 publications

(6 citation statements)

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“…Appropriate microgrid sizing is referred to as above, a very important model for justifiable capital and operational cost. The overall system sizing of the model is dependent on the identified load trends of the community [6][7][8][9][10][11][12][13][14][15]. The load forecasting options are also available using wide parameters or indicators that help in accurate forecasting [16][17][18][19][20][21][22][23].…”

Section: Storage Sizing Schemesmentioning

confidence: 99%

“…where B req is L (Ah/day) (the total Ah consumption of the load per day), M DD is the maximum discharge depth D f is a factor of discharging, and N C represents the number of autonomous days [15].…”

Section: Battery Sizingmentioning

confidence: 99%

“…where N p is the number of batteries in series, B req is the battery capacity required and B c is the selected capacity of the single battery [15].…”

Section: Battery Sizingmentioning

confidence: 99%

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Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach

et al. 2022

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The sizing of microgrids depends on the type of load and its operational hours. The significance of understanding the load operational characteristics in special purpose islanded microgrids is much needed for economic system sizing. The load operation of special-purpose microgrids often consumes high power for a short duration and remains idle most of the time, thus reducing the load factor. The inclusion of such loads in microgrid sizing causes huge capital costs making islanded microgrids an unfeasible solution. The islanded microgrid under study is an agricultural microgrid in a village having a small Crab Processing Plant (CPP) and a Domestic Sector (DS). The CPP constitutes the major power consumption. The community has a unique load consumption trend that is dependent on the highly uncertain parameter of availability of the crabs. Interestingly, crab availability is an independent parameter and cannot be accurately scheduled. The existing system sizing of the microgrid is performed based on the conventional methods that consider the CPP for full-day operation. However, the microgrid sources, especially the storage system may be reflected as oversized if the crab processing plants do not operate for several days due to the uncertain behavior of CPP causing enormous power wastage. In this paper, an integrated fixed and operational mode strategy for uncertain heavy loads is formulated. The proposed algorithm is based on the optimal sizing methodology aided by the load scheduling control strategy. The Particle Swarm Optimization technique is used for the optimal sizing integrated with the fuzzy logic controller to manage the available load. The membership functions are available excess power and the state of the charge of storage that defines the operational conditions for CPP. Based on input membership functions, the fuzzy controller decides on power dispatch in DS or CPP, keeping considerable SoC available for night hours. The simulation result shows that the time-dependent fuzzy controller approach manages to provide power to both sectors under optimal sizing while reducing the overall cost by 24% less than the existing microgrid.

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Section: Storage Sizing Schemesmentioning

confidence: 99%

Section: Battery Sizingmentioning

confidence: 99%

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Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach

et al. 2022

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“…cuando la producción de los sistemas eólico y solar no satisface la carga no y cuando el almacenamiento de la batería se agota. La energía horaria generada (EDEG) por un generador diésel con potencia nominal (PDEG) se define por la ecuación siguiente (Abdel-hamed et al, 2019;Mejbel Ali et al, 2018):…”

Section: C) Dimensionamiento Del Sistema Eólicounclassified

“…El generador diésel, con el fin de obtener un mayor rendimiento y eficiencia, funcionará siempre entre el 85 y el 100% de su potencia nominal (Abdel-hamed et al, 2019). En esta investigación, se consideró un generador diesel Generic 500KW Fixed Capacity Genset.…”

Section: C) Dimensionamiento Del Sistema Eólicounclassified

Modelo de un sistema híbrido de generación distribuida para una nano-red de CC

Caicedo

2022

SIJIS

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Una gran parte de la población mundial vive en zonas rurales geográficamente aisladas, remotas y escasamente pobladas. Las nano redes que emplean sistemas energéticos híbridos (HES) basados en la energía fotovoltaica (FV) y los parques eólicos se consideran una opción eficaz para electrificar zonas remotas y aisladas que están lejos de las redes convencionales. Esto es aplicable a zonas que reciben altos promedios de radiación solar y suficiente velocidad media velocidad del viento anualmente. En esta investigación, se modeló, simuló y optimizó una nano red de CC híbrida solar fotovoltaica y eólica, con almacenamiento de energía y un generador diésel de. Se realizó un estudio del emplazamiento y se obtuvieron datos sobre el recurso eólico y la radiación solar para calcular la carga. solar para la previsión de la carga y la modelización del sistema. Se utilizó el software HOMER para la modelización del sistema. sistema. La optimización del coste mínimo del sistema se llevó a cabo de la instalación, teniendo en cuenta los costes de los componentes del sistema, la radiación solar horaria y los parámetros de calificación como entradas en el programa de simulación. Se especificaron las variables de sensibilidad para examinar el efecto de sus incertidumbres en el rendimiento del sistema. El análisis económico y medioambiental indicó que es más aconsejable electrificar los asentamientos remotos utilizando una nano red de CC basada en sistemas híbridos con múltiples fuentes renovables, ya que tienen menores costes de funcionamiento y son más ambiental debido a la menor dependencia de las unidades generadoras de diésel. de las unidades de generación diesel.

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Optimal sizing of a proposed stand-alone hybrid energy system in a remote region of southwest Egypt applying different meta-heuristic algorithms

Abdelsattar,

Mesalam,

Diab

et al. 2024

Neural Comput & Applic

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Hybrid energy system (HES) is considered a solution to the energy supply issue, particularly in rural areas to achieve their sustainable development goals. The rise in energy consumption has increased the appeal of renewable resources, because of their potential to supply consumers with competitive, carbon-free electricity. This paper suggests strategies for managing energy and the most recently published optimizers for designing a stand-alone HES positioned in a remote region of southwest Egypt. This HES includes two green energy sources (wind and solar) and a storage system for energy (battery) as the first backup in addition to a second backup (diesel). The most recent sizing techniques employing the Chernobyl disaster optimizer, dynamic control cuckoo search (DCCS), and gold rush optimizer have been suggested to obtain the optimal design of the utilized HES. Furthermore, an in-depth evaluation of the applied optimization approaches has been achieved based on a comparative study. A detailed analysis of the studied algorithms aims to identify the optimum algorithm that provides the lowest possible cost at the highest level of reliability for the proposed HES. The simulation results verified that, the DCCS algorithm outperformed other algorithms, indicating its potential for achieving promising solutions.

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Optimal Sizing and Design of Isolated Micro-Grid systems

Cited by 3 publications

References 0 publications

Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach

Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach

Modelo de un sistema híbrido de generación distribuida para una nano-red de CC

Optimal sizing of a proposed stand-alone hybrid energy system in a remote region of southwest Egypt applying different meta-heuristic algorithms

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