Turning Renewable Energy be a Dispatchable Electric Generation through Energy Management System Technology: Sumba Smart Micro Grid Case

Hilal, Hamzah; Riza,; Prastawa, Andhika; Matsumura, Toshiaki

doi:10.1109/icpere.2018.8739691

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Energy Generation: The source of energy generated by wind, air, solar, water, or nuclear power as they are kept far away from the civilians to be affected. Each power generator has a price for optimizing the various energy levels that must be synthesized before launching onto the grid [10][11].…”

Section: Existing System and Its Challengesmentioning

confidence: 99%

A Queueing Model-Based Experimental Analysis of Mobile-Energy Distribution Stations (M-EDS) for Smart City Urbanization

Samson Arun Raj,

Venkatesan Ramachandran,

G. Naveen Sundar

et al. 2023

ARASET

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Smart devices, terminals, energy grids, houses, users, and companies united under one roof have recently grown into smart cities using various technical tools and ways to communicate, process, and exchange information. Urbanization plays a significant part in developing smart cities among the many application services that smart cities offer. Many users/consumers who live in rural areas commute daily to urban areas for jobs, school, and other purposes. There are not many people there, therefore building comprehensive smart city services would be a waste of time, money, and resources. However, there is a chance that urbanisation may create a small-scale industry for development and a beneficial energy grid for those living in rural areas. A completely functional energy grid is also challenging to build; one must comprehend and determine the parameters before manufacturing. To examine the incoming energy rate from rural areas connected to the primary smart city energy grid, this article presents an efficient Mobile Energy Distribution Substation (M-EDS). Every home's energy inflow rate is assessed, and resources are distributed following the queueing criteria the M-EDS has examined. Two categories—dynamic energy and fixed energy—are used to measure the rate of incoming energy. The suggested mobile energy distribution substation's performance is examined considering these two evaluations, and its benefits and drawbacks are highlighted.

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Section: Existing System and Its Challengesmentioning

confidence: 99%

A Queueing Model-Based Experimental Analysis of Mobile-Energy Distribution Stations (M-EDS) for Smart City Urbanization

Samson Arun Raj,

Venkatesan Ramachandran,

G. Naveen Sundar

et al. 2023

ARASET

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“…At present, the power plants used in Indonesia, and even in the world, generally still use fossil fuel power plants, namely, coal and oil [1,2]. In Indonesia, until the end of 2017, power plants derived from fossil fuels amounted to 96% of the total national generating capacity [3].…”

Section: Introductionmentioning

confidence: 99%

Planning of Hybrid Micro-Hydro and Solar Photovoltaic Systems for Rural Areas of Central Java, Indonesia

Syahputra

Soesanti

2020

Journal of Electrical and Computer Engineering

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This paper proposes the planning of hybrid micro-hydro and solar photovoltaic system for rural areas of Central Java, Indonesia. The Indonesian government has paid great attention to the development of renewable energy sources, especially solar and hydropower. One area that has a high potential for both types of energy is the province of Central Java, located on the island of Java, Indonesia. In this research, we conduct field research to determine the ideal capacity of solar and micro-hydro hybrid power plants, electricity load analysis, and optimal design of hybrid power plants. Data on the potential of micro-hydro plants are obtained by direct measurement on the Ancol Bligo irrigation channel located in Bligo village, Ngluwar district, Magelang regency, Central Java province, Indonesia. Data on solar power potential were obtained from NASA’s database for solar radiation in the Central Java region. Hydropower potential data include channel length, debit, heads, and power potential in irrigation channels originating from rivers. These data are used to design an optimal hybrid power plant. The method used to obtain the optimal design of a hybrid power plant system is based on the analysis of capital costs, grid sales, cost of energy, and net present cost. Based on the parameters of the analysis, the composition of the optimal generator for the on-grid scheme to the distribution network can be determined. The results showed that hybrid power plants were able to meet the needs of electrical energy in the villages around the power plant and that the excess energy could be sold to national electricity providers.

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“…Na busca por melhorias das condições operativas do sistema elétrico, desenvolve-se a rede inteligente (Smart Grid ). Essas redes elétricas baseiam-se em uma acentuada utilização de tecnologia de automação, computação e comunicação para realizar monitoramento e o controle de forma eficaz (Hilal et al, 2018). A importância da utilização de mecanismos computacionais para o controle e gestãoé significativa, pois promove o desenvolvimento e aplicação do conceito de Smart Grids, sendo também necessária para melhorar o atual cenário energético.…”

Section: Introductionunclassified

Predição Solar e Eólica Utilizando Redes com Neurônios de Histerese L2P para Aplicações em Smart Grids

Jesus

Pontes

Borges

et al. 2020

Anais Do Simpósio Brasileiro De Sistemas Elétricos 2020

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This paper focuses on the study of the strategic prediction of renewable sources of intermittent energy, using bio-inspired computational models, developed in Python, with the gaim of providing mechanisms that help in the monitoring and control of smart grids. To perform the learning of the neural network, we used the Backpropagation and Feedforwad algorithms. This neural network makes use of hysteresis neurons through the L 2 P model that, therefore, iterates the data to reproduce the prediction curves. To evaluate the model, real data obtained from the National Institute of Meteorology (INMET) was used. Results are presented through the application of the L 2 P model as a neural network and compared to existing structures in neural networks such as the ARIMA method, showing the good performance of the L 2 P neural network. Resumo: Este artigo concentra-se no estudo da predição estratégica de fontes renováveis de energia intermitente, utilizando modelos computacionais baseados em redes neurais artificiais (RNAs), desenvolvidos em linguagem Python, com o intuito de fornecer mecanismos que auxiliem no monitoramento e controle das redes elétricas inteligentes. Para a realização do aprendizado da rede neural, utilizou-se os algoritmos Backpropagation e Feedforwad. A rede neural em questão, faz o uso de neurônios de histerese por meio do modelo L 2 P (Limity Loop Proximity) que, portanto, realiza a iteração dos dados para reproduzir as curvas de previsão de radiação solar e velocidade do vento. Para avaliar o modelo, empregou-se dados reais obtidos no Instituto Nacional de Meteorologia (INMET). Resultados são apresentados por meio da aplicação do modelo L 2 P como rede neural e comparado a estruturas já existentes em redes neurais como o método ARIMA, evidenciando o bom desempenho da rede L 2 P .

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Turning Renewable Energy be a Dispatchable Electric Generation through Energy Management System Technology: Sumba Smart Micro Grid Case

Cited by 5 publications

References 2 publications

A Queueing Model-Based Experimental Analysis of Mobile-Energy Distribution Stations (M-EDS) for Smart City Urbanization

A Queueing Model-Based Experimental Analysis of Mobile-Energy Distribution Stations (M-EDS) for Smart City Urbanization

Planning of Hybrid Micro-Hydro and Solar Photovoltaic Systems for Rural Areas of Central Java, Indonesia

Predição Solar e Eólica Utilizando Redes com Neurônios de Histerese L2P para Aplicações em Smart Grids

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