Optimal Charging Scheduling for Electric Vehicles Considering the Impact of Renewable Energy Sources

2020 ◽  
Author(s):  
Wang Wang ◽  
Yu Cheng
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
The Impact

scholarly journals A New Solution to Profit Based Unit Commitment Problem Considering PEVs/BEVs and Renewable Energy Sources

2020 ◽  
Vol 184 ◽  
pp. 01070
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Production Cost ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Unit Commitment Problem ◽  
Load Demand ◽  
Commitment Problem ◽  
The Impact

Daily load demand for industrial, residential and commercial sectors are changing day by day. Also, inclusion of e-mobility has totally effected the operations of realistic power sector. Hence, to meet this time varying load demand with minimum production cost is very challenging. The proposed research work focuses on the mathematical formulation of profit based unit commitment problem of realistic power system considering the impact of battery electric vehicles, hybrid electric vehicles and plug in electric vehicles and its solution using Intensify Harris Hawks Optimizer (IHHO). The coordination of plants with each other is named as Unit commitment of plants in which the most economical patterns of the generating station is taken so as to gain low production cost with higher reliability. But with the increase in industrialization has affected the environment badly so to maintain the balance between the generation and environment a new thinking of generating low cost power with high reliability by causing less harm to environment i.e. less emission of flue gases is adopted by considering renewable energy sources.

Energy Management of Microgrid Considering Renewable Energy Sources and Electric Vehicles Using the Backtracking Search Optimization Algorithm

2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Yong Li ◽  
Salim Qadir Mohammed ◽  
Goran Saman Nariman ◽  
Nahla Aljojo ◽  
Alireza Rezvani ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Energy Sources ◽  
Management Problem ◽  
Backtracking Search ◽  
Search Optimization ◽  
The Impact

Abstract Different distributed generation (DG) technologies, active loads, and storage devices create an independent microgrid (MG). Scheduling of an MG is an important issue in renewable energy sources (RESs) based systems. In this paper, MGs include RESs, plug-in hybrid electric vehicles (PHEVs), and electrical energy storage systems. The proposed scheduling framework utilizes the Monte Carlo simulation (MCS) to characterize the uncertain parameters of PHEVs and RESs. Three different charging strategies are investigated for modeling the impact of different behaviors of PHEVs in MGs. These schemes are smart, controlled, and uncontrolled charging. Due to the nonlinear feature of the suggested optimization problem, it needs an efficient optimization tool to tackle the problem appropriately. So, this paper uses the backtracking search optimization (BSO) algorithm for the short-term scheduling of an MG. The proper performance of the offered scheme is investigated in two scenarios with different time horizons. The BSO algorithm and other optimization algorithms are used for comparing the results to verify the presented method in solving the energy management problem of the MGs.

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.

Kazakhstan: Assessment of Renewable Energy Support and a Green Economy

2021 ◽  
Vol 12 (3) ◽  
pp. 631
Author(s):  
Sergey BESPALYY
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
The State ◽  
Green Economy ◽  
Energy Sources ◽  
Environmentally Sustainable ◽  
The Government ◽  
The Impact

The growth of renewable energy sources (RES) shows the desire of the government of Kazakhstan to meet challenges that affect the welfare and development of the state. National targets, government programs, policies influence renewable energy strategies. In the future, renewable energy technologies will act as sources of a green economy and sustainable economic growth. The state policy in the field of energy in Kazakhstan is aimed at improving the conditions for the development and support of renewable energy sources, amendments are being made to provide for the holding of auctions for new RES projects, which replaces the previously existing system of fixed tariffs. It is expected that the costs of traditional power plants for the purchase of renewable energy will skyrocket, provided that the goals in the field of renewable generation are achieved. This article provides an assessment of international experience in supporting renewable energy sources, as well as analyzes the current situation in the development of renewable energy in Kazakhstan and the impact on sustainable development and popularization of the «green» economy. The study shows that by supporting the development of renewable energy sources, economic growth is possible, which is achieved in an environmentally sustainable way.

scholarly journals Wind Data Analysis and Wind Flow Simulation Over Large Areas

2014 ◽  
Vol 10 (1) ◽  
pp. 38-45
Author(s):  
Angel Terziev ◽  
Ivan Antonov ◽  
Rositsa Velichkova
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Wind Flow ◽  
Energy Potential ◽  
Wind Potential ◽  
Wind Energy Potential ◽  
The Impact

Abstract Increasing the share of renewable energy sources is one of the core policies of the European Union. This is because of the fact that this energy is essential in reducing the greenhouse gas emissions and securing energy supplies. Currently, the share of wind energy from all renewable energy sources is relatively low. The choice of location for a certain wind farm installation strongly depends on the wind potential. Therefore the accurate assessment of wind potential is extremely important. In the present paper an analysis is made on the impact of significant possible parameters on the determination of wind energy potential for relatively large areas. In the analysis the type of measurements (short- and long-term on-site measurements), the type of instrumentation and the terrain roughness factor are considered. The study on the impact of turbulence on the wind flow distribution over complex terrain is presented, and it is based on the real on-site data collected by the meteorological tall towers installed in the northern part of Bulgaria. By means of CFD based software a wind map is developed for relatively large areas. Different turbulent models in numerical calculations were tested and recommendations for the usage of the specific models in flows modeling over complex terrains are presented. The role of each parameter in wind map development is made. Different approaches for determination of wind energy potential based on the preliminary developed wind map are presented.

scholarly journals The Financing of Renewable Energy Sources and the Level of Sustainable Development of Poland’s Provinces in the Area of Environmental Order

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5591
Author(s):  
Piotr Siemiątkowski ◽  
Patryk Tomaszewski ◽  
Joanna Marszałek-Kawa ◽  
Janusz Gierszewski
Keyword(s):  
Sustainable Development ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Linear Ordering ◽  
Energy Sources ◽  
Local Administration ◽  
Moderate Increase ◽  
Statistical Features ◽  
Closed Set ◽  
The Impact

The overall purpose of this study is to evaluate the impact of financing renewable energy sources on the assessment of sustainable development in Poland’s provinces. There are also two detailed objectives: (1) define how Polish policies are being passed on to local authorities; (2) realize a Poland’s provinces ranking, taking into account the indicators of sustainable development, thanks to the taxonomic measure of development in the area of environmental order. This study deals with the taxonomic assessment of local sustainable development in the local administration units of Poland. To this end, the methods of linear ordering were applied for the assessment of the level of objects differentiation with the use of a closed set of statistical features. The presented analysis proved that the taxonomic distances between synthetic measures for particular provinces are considerable. The highest values of the integrated measure in 2018 were obtained by the following provinces: Podlaskie, Subcarpathian and Lubusz. It is noteworthy to point to the big changes in the ranking between 2018 and 2016. The cluster analysis showed some progress in achieving the goals of sustainable development. The group of provinces with an average level of sustainable development in 2018 included six provinces compared to two provinces in 2016. Removing one indicator from the integrated measure (the financing of renewable energy sources (RES)) led to a moderate increase in the integrated measure across all the provinces. This implies that, on average, the financing of renewable energy sources exerts increasingly smaller impacts on the level of sustainable development in Poland.

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