scholarly journals Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3117 ◽  
Author(s):  
Gerardo Osório ◽  
Miadreza Shafie-khah ◽  
Pedro Coimbra ◽  
Mohamed Lotfi ◽  
João Catalão

Electric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and operation of distribution systems (ODS) is becoming more important. Recent studies have shown that EV can increase power grid flexibility since EV owners do not use them for 93–96% of the daytime. Therefore, it is important to exploit parking time, during which EVs can act either as a load or distributed storage device, to maximize the benefit for the power system. Following a survey of the current state-of-the-art, this work studies the impact of EV charging on the load profile. Since renewable energy resources (RES) play a critical role in future distribution systems the current case study considered the presence of RES and their stochastic nature has been modeled. The study proceeds with analyzing EV owners’ driving habits, enabling prediction of the network load profile. The impact of: EV charging modes (i.e., controlled and uncontrolled charging), magnitude of wind and photovoltaic (PV) generation, number of EVs (penetration), and driving patterns on the ODS is analyzed.

2014 ◽  
Vol 573 ◽  
pp. 346-351
Author(s):  
G.S. Satheesh Kumar ◽  
Chinnadurai Nagarajan ◽  
M. Lizzy Nesa Bagyam

A Recent concept of distribution infrastructure plays a vital role in the efficient utilization of energy. To avoid global warming and greenhouse gas emission, carbon based power plant should be replaced with distributed renewable energy (DRE) such as wind, solar etc. Renewable energy resources can be integrated to grid by intelligent electronic devices (IED). This paper deals with the novel automation architecture that supports power distribution systems to avoid power blackout and also it briefs the major requirement of the smart grid distribution system needed for a competitive world. International standard IEC 61850 and IEC 61499 provides a solution for substation automation through intelligent logical nodes (ILNs) which enhances interoperability and configurability.Later an open source platform is used for enhancing the communication that automatically generates the data model and communication nodes for intelligent electronic devices.However for future requirements in smart grid, the addition of new functions as well as the adaptation of function for IEDs is necessary. A concept of reconfigurable software architecture is introduced for integrating distributed and renewable energy resources. Such interfaces and services provide adaptation of the functional structure and contribute efficient Smart Grid system. This survey summarizes the communication infrastructure of smart energy system.


2019 ◽  
Vol 8 (4) ◽  
pp. 75
Author(s):  
Rita Bužinskienė

Paper is characterized by scientific novelty as it involves a very scarce research problem in Lithuanian‘s energy sector, assessing the impact of renewable energy resources on the energy economy. Renewable energy sources have a multiplier effect in spurring the economy and the development of not only the energy sector but also all the supporting activities related to such industry. The impact of the development of renewable energy is one of the factors that develop the quality of technology innovation development. This study includes the impact of renewable energy on the energy economy, using multiple linear regression models. The results of the study have shown that renewable energy resources: wind, sun, water, geothermal and biomass can not always be used together because they compete with each other and therefore reduce the efficiency of the energy economy. In this context, three combinations of renewable energy resources have been developed, which have been adapted to assess the impact of the energy economy on energy productivity and energy intensity. It has been found that the combination of resources of the second model (M2) RE is significant for the efficiency of the energy economy.Keywords: Renewable energy resources; Energy economy; Impact of efficiency


Author(s):  
Srujana Vungarala

Blockchain is the nascent technology which has the capability of incorruptible future in making. The blockchain mechanism is regarded for its security. In recent years, many have adopted for Blockchain. This paper tries to analyze some of the game changing technologies using blockchain mechanism. The paper has been framed by using secondary research and the authors’ opinion is also voiced.Blockchain-based application are springing up, covering numerous fields including financial services, Internet of Things (IoT), and Energy distribution systems Smart Grids uses blockchain to control the flow of energy. Blockchain, the foundation of Bitcoin, has received extensive attentions recently. Blockchain serves as an immutable ledger which allows transactions take place in a decentralized manner. Blockchain-Based Smart Grids presents emerging applications of blockchain in electrical system. As, Rapid growth of renewable energy resources in power systems we require a system through which we can monitor the consumption and supply of the electricity. This is sustainable and eco-friendly alternative. This paper is tailored to analyze the blockchain applications in Bitcoin and Smart Grid.


Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5377
Author(s):  
Abdullah Al-Shereiqi ◽  
Amer Al-Hinai ◽  
Mohammed Albadi ◽  
Rashid Al-Abri

Harnessing wind energy is one of the fastest-growing areas in the energy industry. However, wind power still faces challenges, such as output intermittency due to its nature and output reduction as a result of the wake effect. Moreover, the current practice uses the available renewable energy resources as a fuel-saver simply to reduce fossil-fuel consumption. This is related mainly to the inherently variable and non-dispatchable nature of renewable energy resources, which poses a threat to power system reliability and requires utilities to maintain power-balancing reserves to match the supply from renewable energy resources with the real-time demand levels. Thus, further efforts are needed to mitigate the risk that comes with integrating renewable resources into the electricity grid. Hence, an integrated strategy is being created to determine the optimal size of the hybrid wind-solar photovoltaic power systems (HWSPS) using heuristic optimization with a numerical iterative algorithm such that the output fluctuation is minimized. The research focuses on sizing the HWSPS to reduce the impact of renewable energy resource intermittency and generate the maximum output power to the grid at a constant level periodically based on the availability of the renewable energy resources. The process of determining HWSPS capacity is divided into two major steps. A genetic algorithm is used in the initial stage to identify the optimum wind farm. A numerical iterative algorithm is used in the second stage to determine the optimal combination of photovoltaic plant and battery sizes in the search space, based on the reference wind power generated by the moving average, Savitzky–Golay, Gaussian and locally weighted linear regression techniques. The proposed approach has been tested on an existing wind power project site in the southern part of the Sultanate of Oman using a real weather data. The considered land area dimensions are 2 × 2 km. The integrated tool resulted in 39 MW of wind farm, 5.305 MW of PV system, and 0.5219 MWh of BESS. Accordingly, the estimated cost of energy based on the HWSPS is 0.0165 EUR/kWh.


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