scholarly journals A New Tariff Based Energy Saving and Sharing Scheme from Renewable Energy Using Smart Grid

2021 ◽  
Author(s):  
V. Annapoorani ◽  
J. Banupriya ◽  
P. Navaraja ◽  
V. Chinnammal
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Saving ◽  
Delivery System ◽  
Renewable Resources ◽  
Energy Use ◽  
Demand Side ◽  
Grid System ◽  
Sharing Scheme ◽  
Time Of Use Pricing

Abstract of our paper’s major intent is to manage power and to share the solar load power to grid system by using smart grid technologies that is called as Demand Side Management (DSM). This paper gives the idea of modernized delivery system of electricity in which it observes, safeguards and adjusts accordingly with the energy that is used in home. The objective of the work is when the renewable resources are plentiful and electricity becomes affordable, time-of-use pricing, which allows customers to move some of their energy use to consistent and convenient moment of the day.

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 Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Arun Sukumaran Nair ◽  
Tareq Hossen ◽  
Mitch Campion ◽  
Daisy Flora Selvaraj ◽  
Neena Goveas ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Renewable Energy ◽  
Smart Grid ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Grid System ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

AbstractWith the increasing integration of Distributed Energy Resources (DER) in the power grid, a decentralized approach becomes essential for scheduling and allocation of resources in a smart grid. Economic Dispatch (ED) and Unit Commitment (UC) are the two major resource allocation problems that play critical role in the safe and stable operation of a grid system. The uncertainty associated with renewable energy sources have made the resource allocation problems even more challenging for grid operators. The future grid will have a higher generation mix of renewable energy sources and a large load of Electrical vehicles, with the possibility of bi-directional power flow. This complex smart grid system necessitates the development of a decentralized approach to resource allocation problem, which allows inter-node communication and decision making. Multi-agent systems (MAS) is a promising platform to decentralize the traditional centralized resource allocation aspects of smart grid. This paper presents a comprehensive literature review on the application of MAS to Economic Dispatch (ED) and Unit Commitment (UC) in smart grids.

scholarly journals The effect of renewable energy use and economic growth on pollution in the EUROZONE

2017 ◽  
Vol 6 (3) ◽  
pp. 88 ◽  
Author(s):  
Panagiotis Nikolaos Fotis ◽  
Victoria Pekka
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Renewable Energy ◽  
Energy Saving ◽  
Method Of Moments ◽  
Energy Use ◽  
Energy Intensity ◽  
Generalized Method Of Moments ◽  
Environmental Pollutants ◽  
Dynamic Panel

The aim of this paper is to empirically examine the effect of renewable energy use and economic growth on pollution within EUROZONE from 2005 to 2013 by utilizing Dynamic Panel Generalized Method of Moments approaches. The empirical results reveal that economic growth positively affects environmental pollutants. The use of renewable sources of energy negatively affects pollution. The more the renewable energy we use the less the air pollution. However, energy saving and energy intensity contribute to more air pollution.

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 Intelligent optimization framework for efficient demand-side management in renewable energy integrated smart grid

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hassan Wasim Khan ◽  
Muhammad Usman ◽  
Ghulam Hafeez ◽  
Fahad R. Albogamy ◽  
Imran Khan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side ◽  
Intelligent Optimization ◽  
Optimization Framework
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