scholarly journals Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach

2021 ◽  
Vol 3 (3) ◽  
pp. 222-237
Author(s):  
Haoxiang Wang
Keyword(s):  
Machine Learning ◽  
Energy Source ◽  
Renewable Energy ◽  
Rural Areas ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Reference Value ◽  
Energy Resources ◽  
Energy Sources ◽  
Hybrid Renewable Energy

In recent days the need for energy resources is dramatically increasing world-wide. Overall 80% of the energy resource is supplied in the form of fuel based energy source and nuclear based energy source. Where fuel based energy resources are very essential in day-to-day life. Fossil fuel is also one among the energy resource and due to the high demand we face shortage in these resources. Providing electricity in rural areas is still a difficult process because of the shortage of energy resources. This issue can be rectified by choosing an alternate to electricity. To achieve this we have integrated many renewable energy sources to form a hybrid-renewable energy source system and this is capable of providing power supply to these areas. We have adopted artificial neural networks (ANN) technique based on machine learning to accomplish this process. For short-term prediction other techniques such as MLP, CNN, RNN and LSTM are used. These values are used as reference value in final execution.

EUROPEAN UNION CLIMATE AND ENERGY POLICY – CHALLENGES AND CHAINS FOR THE DEVELOPMENT OF RURAL AREAS

2017 ◽  
Vol XIX (4) ◽  
pp. 71-78 ◽  
Author(s):  
Piotr Gradziuk ◽  
Barbara Gradziuk
Keyword(s):  
Renewable Energy ◽  
Energy Policy ◽  
Rural Areas ◽  
Renewable Energy Sources ◽  
Significant Degree ◽  
Primary Energy ◽  
Energy Resources ◽  
Energy Sources ◽  
Renewable Energy Resources ◽  
Climate And Energy Policy

The main objective of the article is to identify the implications of implementing climate and energy policy for rural areas.Due to their quantitative and qualitative potential, rural areas participate to a significant degree in the achievement of the indicative targets resulting from the climatic package. Thanks to the production of biomass and, increasingly often, energy itself during the 2006-2016 period, the share of RES (renewable energy sources) in the production of primary energy grew twofold from 7.8% to 13.9%. Biomass was the main source, but since 2010 the use of wind and sun in the production of energy has been growing rapidly. Based on the analysis, it can be argued that by 2050 most of the energy and renewable energy resources will be produced in agriculture and rural areas. Implementing the commitments stemming from EU climate and energy policy can be an impetus for rural development.

scholarly journals Determination of a Suitable Renewable Energy Source for Mini-Grid Business: A Risk-Based Multicriteria Approach

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Desmond Eseoghene Ighravwe ◽  
Moses Olubayo Babatunde
Keyword(s):  
Energy Source ◽  
Renewable Energy ◽  
Conceptual Framework ◽  
Rural Areas ◽  
Renewable Energy Sources ◽  
Assessment Method ◽  
Biomass Energy ◽  
Decision Makers ◽  
Energy Sources ◽  
The Impact

The mini-grid proliferation has helped to improve the current state of electricity supply in several rural areas in developing countries. This is due to the innovations in renewable energy technologies. The impact of this development is the establishment of mini-grid business. There is a need for mini-grid business owners to identify the most suitable energy source for a particular area. To achieve this, proper analysis of risks that impact mini-grid business operations is required for optimal energy source selection. The current study addresses this problem by proposing a conceptual framework that considered risk factors. The conceptual framework analysed scenarios where expected risk values are specified and not specified by decision-makers. This was achieved using fuzzy axiomatic design (FAD), intuitionistic entropy method, and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) methods. The TOPSIS and FAD results were combined using WASPAS (weighted aggregated sum product assessment) method. The proposed conceptual framework was applied in sub-Sahara Africa, Lagos, Nigeria. During the application of the proposed framework, five renewable energy sources and thirteen types of risks were considered. Information from four decision-makers was used to demonstrate the applicability of the framework. The results obtained showed that unpredictable electricity demand and construction completion risks were identified as the least and most important risks for the selection of renewable energy sources for mini-grid, respectively. The FAD and TOPSIS methods identified wind and biomass energy as the best-ranked energy source for mini-grid business, respectively. The WASPAS method and the FAD results were the same.

scholarly journals Potential of Renewable Energy Resources from Biomass Derived by Natural Resources In Balikpapan

2020 ◽  
Vol 17 (3) ◽  
pp. 316-323
Author(s):  
Nia Febrianti ◽  
Firilia Filiana ◽  
Primadina Hasanah
Keyword(s):  
Energy Source ◽  
Renewable Energy ◽  
Natural Resources ◽  
Crop Yields ◽  
Renewable Energy Sources ◽  
Biomass Energy ◽  
Energy Resources ◽  
Food Plants ◽  
Energy Sources ◽  
Biomass Potential

Biomass energy sources have several advantages, such as being used as a renewable energy source so that the energy source from biomass can provide a sustainable energy source. One of the first steps to determine the potential of energy resources that can be developed into renewable energy sources is by collecting data. The data collection carried out in this study focuses more on the biomass found in Balikpapan. The biomass potential in Balikpapan needs to be known by collecting and classifying the biomass data based on products from agriculture and plantations. The data that has been collected from secondary data and from surveys are then mapped to see the greatest biomass potential found in Balikpapan. The largest percentage of crop yields per year is found in North Balikpapan Subdistrict, which is 31% compared to five other sub-districts. The potential of biomass from Balikpapan City's natural resources, which the greatest amount of harvest, is the cassava food plant in North Balikpapan sub-district of 7,259 tons / year. In the type of fruit, snakefruit (salak) has the highest number of yields per year, which is about32,945 tons / year. The potential for waste from food plants, cassava waste originating from tree trunks, is 5,807.2 tons / year, and cassava skin is 1,088.8 tons / year

scholarly journals Optimizing the Sustainability of Renewable Energy: A Review on the Impart of Internet of Things

2020 ◽  
pp. 44-52
Author(s):  
C. Mazi Chukwuemeka ◽  
M. Ihedioha Uchechi ◽  
C. Onyedeke Obinna ◽  
Ezema Modesta ◽  
Uzo Blessing Chimezie ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy ◽  
Internet Of Things ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Modern Technology ◽  
Energy Sources ◽  
The Internet ◽  
Interconnected System ◽  
The Internet Of Things

The problems of energy usage wastage, conservation and optimization has always been there. Most significantly in third world countries with a high level of improper energy resource management. The world has become a global village and tending toward the transformational use of technology assets and materials to optimize the usage of renewable energy; in this case the Internet of things. Renewable Energy are actually energy source that are continually replenished naturally by nature. The internet of things are interconnected system through which hardware system device are given instruction for instance to reduce energy wastage; the potential for further reduction of fossil fuel usage and wasted energy is become cosmic. Optimization here is the appropriate management of the energy generated by energy sources through use of internet of things. The modern technology such as the internet of things is to help harness and improve in management by switching between renewable energy sources alongside the enhancement in making effective energy source at given time and energy consuming device.

Machine learning roles in advancing the power network stability due to deployments of renewable energies and electric vehicles

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mohamad Nassereddine
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Power Network ◽  
Network Stability ◽  
Fast Charging ◽  
Electrical Loads ◽  
Charging Stations

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.

scholarly journals Influence of the Share of Renewable Energy Sources on the Level of Energy Security in EECCA Countries

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 903 ◽  
Author(s):  
Ivan Trifonov ◽  
Dmitry Trukhan ◽  
Yury Koshlich ◽  
Valeriy Prasolov ◽  
Beata Ślusarczyk
Keyword(s):  
Renewable Energy ◽  
Energy Security ◽  
Structural Characteristics ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Energy Sources ◽  
Structural Content ◽  
High Degree

In this study we aimed to determine the extent to which changes in the share of renewable energy sources, their structural complex, and the level of energy security in Eastern Europe, Caucasus and Central Asia (EECCA) countries in the medium- and long-term are interconnected. The study was performed through modeling and determination of the structural characteristics of energy security in the countries. The methodology of the approach to modeling was based on solving the problem of nonlinear optimization by selecting a certain scenario. For the study, the data of EECCA countries were used. The ability of EECCA countries to benefit from long-term indirect and induced advantages of the transformation period depends on the extent to which their domestic supply chains facilitate the deployment of energy transformation and induced economic activity. This study provides an opportunity to assess the degree of influence of renewable energy sources on the level of energy security of countries in the context of energy resource diversification. The high degree of influence of renewable energy sources on energy security in the EECCA countries has been proven in the implementation of the developed scenarios for its increase. Energy security is growing. At the same time, its level depends not only on an increase in the share of renewable sources but also on the structure of energy resources complex of countries, and the development of various renewable energy sources. Therefore, today the EECCA countries are forced not only to increase the share of renewable energy sources but also to attach strategic importance to the structural content of their energy complex.

scholarly journals Scalable Multiport Converter Structure for Easy Grid Integration of Alternate Energy Sources for Generation of Isolated Voltage Sources for MMC

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1779
Author(s):  
Syed Rahman ◽  
Irfan Khan ◽  
Khaliqur Rahman ◽  
Sattam Al Otaibi ◽  
Hend I. Alkhammash ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Resources ◽  
Energy Sources ◽  
Renewable Energy Resources ◽  
Component Level ◽  
Storage Devices ◽  
Multiport Converter ◽  
Detailed Simulation ◽  
The Individual

This paper presents a novel, scalable, and modular multiport power electronic topology for the integration of multiple resources. This converter is not only scalable in terms of the integration of multiple renewable energy resources (RES) and storage devices (SDs) but is also scalable in terms of output ports. Multiple dc outputs of a converter are designed to serve as input to the stacking modules (SMs) of the modular multilevel converter (MMC). The proposed multiport converter is bidirectional in nature and superior in terms of functionality in a way that a modular universal converter is responsible for the integration of multiple RES/SDs and regulates multiple dc output ports for SMs of MMC. All input ports can be easily integrated (and controlled), and output ports also can be controlled independently in response to any load variations. An isolated active half-bridge converter with multiple secondaries acts as a central hub for power processing with multiple renewable energy resources that are integrated at the primary side. To verify the proposed converter, a detailed design of the converter-based system is presented along with the proposed control algorithm for managing power on the individual component level. Additionally, different modes of power management (emulating the availability/variability of renewable energy sources (RES)) are exhibited and analyzed here. Finally, detailed simulation results are presented in detail for the validation of the proposed concepts and design process.

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