General Discussion: Next Generation of Electric Energy System

2018 ◽  
Vol 138 (2) ◽  
pp. 72-73
Author(s):  
Kazuto YUKITA ◽  
Masahide HOJO
2018 ◽  
Vol 138 (2) ◽  
pp. 82-85
Author(s):  
Akinori KATO ◽  
Hisao TAOKA ◽  
Takashi TAKEDA

2014 ◽  
Vol 119 ◽  
pp. 417-430 ◽  
Author(s):  
R. Domínguez ◽  
A.J. Conejo ◽  
M. Carrión

2018 ◽  
Vol 58 ◽  
pp. 01004
Author(s):  
Magomed Gadzhiev ◽  
Misrikhan Misrikhanov ◽  
Vladimir Ryabchenko ◽  
Nikita Vasilenko

A randomized algorithm for computing the invariant zeros of the electric energy system as a dynamical system with many inputs and many outputs (MIMO system), specified in the descriptor form, is proposed. Definitions of invariant zeros are carried out by randomizing the original MIMO system and it reduces to a generalized eigenvalue problem for a numerical matrix. The application of the algorithm is illustrated by the example of calculating the invariant zeros of the linear model of the United Power System.


Author(s):  
D N Udintsev ◽  
G V Shvedov ◽  
P К Milovanov ◽  
M M Sergeeva

2019 ◽  
Vol 10 (3) ◽  
pp. 679-686 ◽  
Author(s):  
Sreenidhi Prabha Rajeev ◽  
Shajimon K. John ◽  
Riboy Cherian ◽  
Subash Cherumannil Karumuthil ◽  
Soney Varghese

2020 ◽  
Vol 12 (14) ◽  
pp. 5571
Author(s):  
Anastasia Gorbunova ◽  
Ilya Anisimov ◽  
Elena Magaril

The energy industry is a leader of introduction and development of energy supply technologies from renewable energy sources. However, there are some disadvantages of these energy systems, namely, the low density and inconsistent nature of the energy input, which leads to an increase in the cost of the produced electric energy in comparison to the traditional energy complexes using hydrocarbon fuel resources. Therefore, the smart grid technology based on preliminary calculation parameters of the energy system develops in cities. This area should also be used to organize the charging infrastructure of electric vehicles, as the electrification of road transport is one of the global trends. As a result, a current task of the transport and energy field is the development of scientifically based approaches to the formation of the urban charging infrastructure for electric vehicles. The purpose of the article is to identify the features of the application flow formation for the charge of the electric vehicle battery. The results obtained provide a basis for building a simulation model for determining the required number of charging stations in the city, taking into account the criteria of minimizing operating costs for electric vehicle owners and energy companies.


Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2119 ◽  
Author(s):  
Guillermo Valencia ◽  
Aldair Benavides ◽  
Yulineth Cárdenas

A hybrid system was analyzed and optimized to produce electric energy in non-interconnected zones in the Colombian Caribbean region, contributing to the reduction of greenhouse gas emissions and the improvement in efficient energy management. A comparative analysis of the performance of hybrid was conducted using a proposed model, built with historical data for meteorological conditions, wind speed, and solar radiation. The model is integrated by a Southwest Wind Power Inc. wind turbine AIR 403, a proton-exchange membrane fuel cell (PEM), an electrolyzer, a solar panel, and a regulator based on proportional, integral, and derivative (PID) controllers to manipulate oxygen and hydrogen flow entering in the fuel cell. The transient responses of the cell voltage, current, and power were obtained for the demand of 200 W under changes in solar radiation and wind speed for each day of the year 2013 in different meteorological stations, such as Ernesto Cortissoz airport, Puerto Bolívar, Alfonso Lopez airport, and Simon Bolívar airport. Through the adjustment of the hydrogen and oxygen flow into the fuel cell, the maximum contribution of power generation from the fuel cell was presented for the Simon Bolívar airport in November with a value of 158.35 W (9.45%). Multiobjective design optimization under a Pareto diagram front is presented for each place studied to minimize the levelized cost of energy and CO2 emission, where the objective control variables are the number of panel and stack in the photovoltaic (PV) system and PEM.


Sign in / Sign up

Export Citation Format

Share Document