scholarly journals Global Renewable Energy-Based Electricity Generation and Smart Grid System for Energy Security

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
M. A. Islam ◽  
M. Hasanuzzaman ◽  
N. A. Rahim ◽  
A. Nahar ◽  
M. Hosenuzzaman
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Security ◽  
Energy Demand ◽  
Electricity Generation ◽  
Alternative Energy ◽  
Grid System ◽  
Efficient Utilization ◽  
Efficient System ◽  
Smart Grid System

Energy is an indispensable factor for the economic growth and development of a country. Energy consumption is rapidly increasing worldwide. To fulfill this energy demand, alternative energy sources and efficient utilization are being explored. Various sources of renewable energy and their efficient utilization are comprehensively reviewed and presented in this paper. Also the trend in research and development for the technological advancement of energy utilization and smart grid system for future energy security is presented. Results show that renewable energy resources are becoming more prevalent as more electricity generation becomes necessary and could provide half of the total energy demands by 2050. To satisfy the future energy demand, the smart grid system can be used as an efficient system for energy security. The smart grid also delivers significant environmental benefits by conservation and renewable generation integration.

Ant Lion Optimizer for Solving Unit Commitment Problem in Smart Grid System

2017 ◽  
Vol 8 (1) ◽  
pp. 129 ◽  
Author(s):  
Izni Nadhirah Sam’on ◽  
Zuhaila Mat Yasin ◽  
Zuhaina Zakaria
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Unit Commitment ◽  
Energy Resources ◽  
Grid System ◽  
Renewable Energy Resources ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Ant Lion ◽  
Smart Grid System

<p>This paper proposed the integration of solar energy resources into the conventional unit commitment. The growing concern about the depletion of fossil fuels increased the awareness on the importance of renewable energy resources, as an alternative energy resources in unit commitment operation. However, the present renewable energy resources is intermitted due to unpredicted photovoltaic output. Therefore, Ant Lion Optimizer (ALO) is proposed to solve unit commitment problem in smart grid system with consideration of uncertainties .ALO is inspired by the hunting appliance of ant lions in natural surroundings. A 10-unit system with the constraints, such as power balance, spinning reserve, generation limit, minimum up and down time constraints are considered to prove the effectiveness of the proposed method. The performance of proposed algorithm are compared with the performance of Dynamic Programming (DP). The results show that the integration of solar energy resources in unit<em> commitment scheduling can improve the total operating cost significantly. </em></p>

scholarly journals Intelligent Automation System for Smart Grid Renewable Energy Generation on Climatic Changes

2021 ◽  
Vol 3 (3) ◽  
pp. 199-213
Author(s):  
Joy Iong-Zong Chen ◽  
Kong-Long Lai
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Generation ◽  
Climatic Changes ◽  
Maintenance Cost ◽  
Automation System ◽  
Generation Process ◽  
Grid System ◽  
Smart Grid System ◽  
Renewable Energy Generation

Nature oriented power generation systems are considered as renewable energy sources. Renewable energy generations are safe to the environment and nature, in terms of minimal radiation and pollution. The space requirement, operational and maintenance cost of renewable energy generation stations are also comparatively lesser than the conventional generating stations. The new form of micro grid energy stations of 230Volt supply attract the small commercial users and the domestic users. The smart grid energy generation is widely employed in the place where the conventional energy supply is not available. Due to its simple construction process, the smart grid renewable energy stations are employed on certain national highways as charging stations for electric vehicles and as a maintenance centre. The motive of the proposed work is to alert the smart grid system with an intelligent algorithm for making an efficient energy generation process on various climatic changes. This reduces the energy wastage in the primary smart grid station and makes the system more reliable on all conditions. The performance of the proposed approach is compared with a traditional smart grid system which yielded a satisfactory outcome.

scholarly journals Incorporating blockchain and internet of thing: The context of renewable energy certificate on smart grid

2021 ◽  
Vol 300 ◽  
pp. 01004
Author(s):  
Guang Chen ◽  
Mingda He ◽  
Chang Liu ◽  
Jianbin Gao
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Smart Grids ◽  
Energy Sources ◽  
The Internet ◽  
Grid System ◽  
Grid Networks ◽  
Smart Grid System ◽  
The Internet Of Things ◽  
Internet Of Thing

Blockchain and the Internet of Things (IoT) complements each other within the space of decentralization, real time monitoring, and data sharing and security. In this paper we explored the integration of blockchain and IoT within the context of smart grid. Current REC system lacks visibility and transparency which are very critical to the success of smart grids. Conventional smart grid system makes it difficult to proof whether a buyer has truly received an energy certificate or not. Therefore, we proposed a blockchain and IoT based system for autonomous monitoring of energy sources and tracking of RECs on smart grid. Our system provides the visibility and transparency on smart grid networks that is imperative to safeguarding RECs market. Results based on extensive experiments illustrate the efficiency and scalability of our system.

Integrating renewable energy in smart grid system: Architecture, virtualization and analysis

2019 ◽  
Vol 18 ◽  
pp. 100226 ◽  
Author(s):  
Imane Worighi ◽  
Abdelilah Maach ◽  
Abdelhakim Hafid ◽  
Omar Hegazy ◽  
Joeri Van Mierlo
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
System Architecture ◽  
Grid System ◽  
Smart Grid System

Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique

2020 ◽  
Vol 42 (11) ◽  
pp. 2068-2087
Author(s):  
Kumaravel Sureshkumar ◽  
Vijayakumar Ponnusamy
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Power Flow ◽  
Search Algorithm ◽  
Energy Sources ◽  
Grid System ◽  
Flow Management ◽  
Control Signals ◽  
Smart Grid System ◽  
Hybrid Renewable Energy

Efficient approach for power flow management of hybrid renewable energy system connected smart grid system is proposed in this paper. Here, the proposed approach is the combination of both the modified elephant herding optimization algorithm with tabu search algorithm named as MEHOTSA. In the proposed technique, the modified elephant herding optimization algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side. The multi-objective function is shaped by the grid required active power and reactive power varieties generated based on the accessible source power. The accomplished dataset is used to work the Tabu search algorithm on the online way and it leads the control procedure in less execution time. The proposed technique-based control model enhances the control parameters of the power controller in light of the power flow varieties. By utilizing the proposed methodology, the power flow management of the smart grid system is controlled dependent on the source side and load side parameters varieties. Additionally, the proposed methodology is in charge of controlling the energy sources so as to produce the power demanded by the grid, utilizing optimally both renewable energy sources and energy storage devices. Finally, the proposed model be actualized in MATLAB/Simulink platform and the performance are compared with other techniques.

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