scholarly journals Integration of Smart Grid Resources into Generation and Transmission Planning Using an Interval-Stochastic Model

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1843 ◽  
Author(s):  
Guk-Hyun Moon ◽  
Rakkyung Ko ◽  
Sung-Kwan Joo

In the power industry, the deployment of smart grid resources in power systems has become an issue of major interest. The deployment of smart grid resources represents an additional uncertainty in the integrated generation and transmission planning that raises uncertainties in investment-related decision making. This paper presents a new power system planning method for the integration of electric vehicles (EVs) and wind power generators into power systems. An interval-stochastic programming method is used to account for the heterogeneous uncertainties attributable to natural variability and lack of knowledge. The numerical results compare the multiple integration scenarios and verifies the effectiveness of the proposed method in terms of cost distribution and regret cost.

Author(s):  
Souvik Roy

The purpose of study Smart Grid is the evolutions of our electric grid.Our electric components are developing day by day. The purpose of research on Microgrid systems are the integration of renewable energy sources (RES),Enhanced reliability, Reduce peak demand, Smarter consumers, Lower total energy consumption, which outlines power systems interconnection differentVitalityera components (supplyside)with vitality utilization components (request side) and capacity gadgets problem. The integration of RESs and ESSs in a microgrid is studied and analyzed by several authors for different purposes.Create and apply regular cost and advantages technique over all Smart Grid field ventures. The method employs including underlying algorithms and assumptions.Ensure that this methodology can easily accommodate algorithms and assumptions .Develop business case for investors, regulators and customers. This project has some limitations like it takes more time to configure all over the worlds, so expensive for the consumers. The objective is to keep end-user with more reliable and increased power availability and hence keeping higher priority load connected. This study never been done before. This study also was provided current information about smart grid and electric vehicles.


2021 ◽  
Vol 342 ◽  
pp. 05002
Author(s):  
Cosmin Rus ◽  
Monica Leba ◽  
Nicoleta Negru ◽  
Răzvan Marcuş ◽  
Marius Rîsteiu

The success of the development of electric vehicles and the increase in demand for their purchase amid greater autonomy of power systems and the development of charging infrastructure also highlights the possibility of using these vehicles as an integral part of a Smart Grid system in the context of sustainable urban development around the extended ideas of the Smart City concept in which other innovative concepts can be integrated. This paper aims to present new research developed around the idea of Smart City in Petroşani, starting from electric vehicles that can serve both as a means of transport and monitoring system of environmental parameters but can also be integrated into the electricity network so that in periods of high consumption it can supply electricity when needed and in periods of over-production to charge their batteries. Although at present at the level of Petroşani there are not many electric vehicles that can become part of the electricity network, this idea is applicable especially in a public or private facility with the possibility of scaling in the future.


Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3114 ◽  
Author(s):  
Jean-Michel Clairand ◽  
Paulo Guerra-Terán ◽  
Xavier Serrano-Guerrero ◽  
Mario González-Rodríguez ◽  
Guillermo Escrivá-Escrivá

The market for electric vehicles (EVs) has grown with each year, and EVs are considered to be a proper solution for the mitigation of urban pollution. So far, not much attention has been devoted to the use of EVs for public transportation, such as taxis and buses. However, a massive introduction of electric taxis (ETs) and electric buses (EBs) could generate issues in the grid. The challenges are different from those of private EVs, as their required load is much higher and the related time constraints must be considered with much more attention. These issues have begun to be studied within the last few years. This paper presents a review of the different approaches that have been proposed by various authors, to mitigate the impact of EBs and ETs on the future smart grid. Furthermore, some projects with regard to the integration of ETs and EBs around the world are presented. Some guidelines for future works are also proposed.


2013 ◽  
Vol 4 (3) ◽  
pp. 1314-1322 ◽  
Author(s):  
Matteo Vasirani ◽  
Ramachandra Kota ◽  
Renato L. G. Cavalcante ◽  
Sascha Ossowski ◽  
Nicholas R. Jennings

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-32 ◽  
Author(s):  
João Soares ◽  
Tiago Pinto ◽  
Fernando Lezama ◽  
Hugo Morais

This survey provides a comprehensive analysis on recent research related to optimization and simulation in the new paradigm of power systems, which embraces the so-called smart grid. We start by providing an overview of the recent research related to smart grid optimization. From the variety of challenges that arise in a smart grid context, we analyze with a significance importance the energy resource management problem since it is seen as one of the most complex and challenging in recent research. The survey also provides a discussion on the application of computational intelligence, with a strong emphasis on evolutionary computation techniques, to solve complex problems where traditional approaches usually fail. The last part of this survey is devoted to research on large-scale simulation towards applications in electricity markets and smart grids. The survey concludes that the study of the integration of distributed renewable generation, demand response, electric vehicles, or even aggregators in the electricity market is still very poor. Besides, adequate models and tools to address uncertainty in energy scheduling solutions are crucial to deal with new resources such as electric vehicles or renewable generation. Computational intelligence can provide a significant advantage over traditional tools to address these complex problems. In addition, supercomputers or parallelism opens a window to refine the application of these new techniques. However, such technologies and approaches still need to mature to be the preferred choice in the power systems field. In summary, this survey provides a full perspective on the evolution and complexity of power systems as well as advanced computational tools, such as computational intelligence and simulation, while motivating new research avenues to cover gaps that need to be addressed in the coming years.


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