Optimal operation of a multi-energy system considering renewable energy sources stochasticity and impacts of electric vehicles

Energy ◽  
2019 ◽  
Vol 186 ◽  
pp. 115841 ◽  
Author(s):  
Mustafa Ata ◽  
Ayşe Kübra Erenoğlu ◽  
İbrahim Şengör ◽  
Ozan Erdinç ◽  
Akın Taşcıkaraoğlu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Optimal Operation ◽  
Energy Sources

scholarly journals Optimal Operation of Biomass Gasifier Based Hybrid Energy System

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
P. Balamurugan ◽  
S. Kumaravel ◽  
S. Ashok
Keyword(s):  
Renewable Energy ◽  
Optimal Allocation ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Energy System ◽  
Optimal Operation ◽  
Energy Sources ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Typical Day

The focus of the world on renewable energy sources is growing rapidly due to its availability and environment friendliness. However, the renewable energy influenced by natural conditions is being intermittent, it is difficult to accomplish stable energy supply only by one kind of renewable energy source. In order to achieve reliability, it is necessary to integrate two or more energy sources together in an optimal way as hybrid energy system. Optimal allocation of sources, unpredictable load demand, intermittent behaviors of sources, and charging and discharging of storage devices are the major challenges in operating a hybrid energy system. A new controller algorithm is developed and implemented in controller hardware to overcome the above issues. The controller is incorporated in biomass gasifier-based hybrid energy system in a university campus at south India. A case study is carried out in real-time at the site for a typical day. From the experimentation, it is estimated that the annual savings in the operating cost are Rs 375,459.00 ($8475.4) for the optimal allocation of the sources by the controller.

scholarly journals The Energy System of an Ecovillage: Barriers and Enablers

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 682
Author(s):  
Zita Szabó ◽  
Viola Prohászka ◽  
Ágnes Sallay
Keyword(s):  
Renewable Energy ◽  
Spatial Structure ◽  
Energy Management ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Energy Management System ◽  
Production And Consumption ◽  
Ecologically Sustainable

Nowadays, in the context of climate change, efficient energy management and increasing the share of renewable energy sources in the energy mix are helping to reduce greenhouse gases. In this research, we present the energy system and its management and the possibilities of its development through the example of an ecovillage. The basic goal of such a community is to be economically, socially, and ecologically sustainable, so the study of energy system of an ecovillage is especially justified. As the goal of this community is sustainability, potential technological and efficiency barriers to the use of renewable energy sources will also become visible. Our sample area is Visnyeszéplak ecovillage, where we examined the energy production and consumption habits and possibilities of the community with the help of interviews, literature, and map databases. By examining the spatial structure of the settlement, we examined the spatial structure of energy management. We formulated development proposals that can make the community’s energy management system more efficient.

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 Renewable energy sources in future energy balance of the republic of Kazakhstan

2018 ◽  
Vol 58 ◽  
pp. 03006 ◽  
Author(s):  
Bekzhan Mukatov ◽  
Ravil Khabibullin
Keyword(s):  
Renewable Energy ◽  
Development Strategy ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Basic Principles ◽  
The World ◽  
Main Factors ◽  
The Republic

The article describes the main factors determining the development of renewable energy sources in the world. The assessment of the applicability of foreign RES development strategies to Kazakhstan’s energy system has been made. The main tasks facing Kazakhstan’s energy system with large-scale implementation of renewable energy were formulated. On the basis of the analysis and performed calculations recommendations and basic principles have been made on development strategy of renewable energy sources in the Republic of Kazakhstan.

Sign in / Sign up

Export Citation Format

Share Document