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.

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 Operational Simulation Environment for SCADA Integration of Renewable Resources

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1333 ◽  
Author(s):  
Diego Francisco Larios ◽  
Enrique Personal ◽  
Antonio Parejo ◽  
Sebastián García ◽  
Antonio García ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power Plants ◽  
Wind Farm ◽  
Energy Generation ◽  
Generation Process ◽  
Renewable Power ◽  
Operator Tasks ◽  
Energy Assets ◽  
Renewable Energy Generation

The complexity of power systems is rising mainly due to the expansion of renewable energy generation. Due to the enormous variability and uncertainty associated with these types of resources, they require sophisticated planning tools so that they can be used appropriately. In this sense, several tools for the simulation of renewable energy assets have been proposed. However, they are traditionally focused on the simulation of the generation process, leaving the operation of these systems in the background. Conversely, more expert SCADA operators for the management of renewable power plants are required, but their training is not an easy task. SCADA operation is usually complex, due to the wide set of information available. In this sense, simulation or co-simulation tools can clearly help to reduce the learning curve and improve their skills. Therefore, this paper proposes a useful simulator based on a JavaScript engine that can be easily connected to any renewable SCADAs, making it possible to perform different simulated scenarios for novel operator training, as if it were a real facility. Using this tool, the administrators can easily program those scenarios allowing them to sort out the lack of support found in setting up facilities and training of novel operator tasks. Additionally, different renewable energy generation models that can be implemented in the proposed simulator are described. Later, as a use example of this tool, a study case is also performed. It proposes three different wind farm generation facility models, based on different turbine models: one with the essential generation turbine function obtained from the manufacturer curve, another with an empirical model using monotonic splines, and the last one adding the most important operational states, making it possible to demonstrate the usefulness of the proposed simulation tool.

Integration of Autonomous Renewable Energy Generation Systems with Different Topologies in a Smart Grid Cluster to Enhance Performance in Usual Operational Situations

2017 ◽  
Author(s):  
Alex Renan Arrifano Manito ◽  
Kaue Novaes ◽  
André Ricardo Mocelin ◽  
Teddy Arturo Flores Melendez ◽  
João Tavares Pinho ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Generation ◽  
Renewable Energy Generation ◽  
Grid Cluster

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.

scholarly journals Reliable and Cost-Effective Supply Model using Multi Agent Smart Grid Controller

2020 ◽  
Vol 8 (5) ◽  
pp. 3578-3585
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Cost Effective ◽  
Weather Conditions ◽  
Energy Generation ◽  
Renewable Power ◽  
Multi Agent ◽  
Grid Operation ◽  
Renewable Energy Generation ◽  
The Impact

The energy sector is moving towards renewable energy generation. Renewable energy generation is the key technology for a smart grid operation. These renewable producers’ electricity generation capacity varies significantly with change in weather conditions and causes system unreliability. To improve acceptability of this intermittency either renewable generation should be such that it meets the load demand round the corner or there should be a successful coordination between renewable power generation and the grid, so that consumer gets a reliable and cost efficient power. This paper presents a computer-based model of a multi-agent Smart Grid Controller (SGC). The design objective is to provide reliable and cost optimized electricity to the consumers. The Smart Grid Controller continuously monitors the power availability and demand on hourly basis and switches between price-based demand fulfilment and priority-based demand fulfilment algorithm accordingly. Two case studies – Renewable with Grid Power (RwGP) and Renewable without Grid Power (RwoGP) are taken into consideration. The design is validated on the data of a township. The impact of normal and extreme weather conditions on renewable producer agent’s operating capacity is simulated. System’s performance is analysed on daily and monthly data. Results show that the model not only is reliable but also provides cost optimized solution to consumers as compared to only Grid supplied system.

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