Training on Electrical Energy System Control: Microsystem Approach

1980 ◽  
Vol 13 (11) ◽  
pp. 421-429
Author(s):  
E.H.T. El-Shirbeeny
Keyword(s):  
Electrical Energy ◽  
Energy System ◽  
System Control

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

Optimization approach for planning hybrid electrical energy system: a Brazilian case

2021 ◽  
Author(s):  
D. T. Kitamura ◽  
K. P. Rocha ◽  
L. W. Oliveira ◽  
J. G. Oliveira ◽  
B. H. Dias ◽  
...  
Keyword(s):  
Electrical Energy ◽  
Energy System ◽  
Optimization Approach ◽  
System A ◽  
Brazilian Case

Energy System Control Optimization Criterion Development

2020 ◽  
Author(s):  
Olga Zalunina ◽  
Alla Kasych ◽  
Vita Ogar ◽  
Andrii Perekrest ◽  
Serhii Serhiienko ◽  
...  
Keyword(s):  
Energy System ◽  
Optimization Criterion ◽  
System Control ◽  
Control Optimization ◽  
Criterion Development

Hydrogen Storage in Magnesium-Based Alloys

MRS Bulletin ◽  
1999 ◽  
Vol 24 (11) ◽  
pp. 40-44 ◽  
Author(s):  
R.B. Schwarz
Keyword(s):  
Energy Density ◽  
Hydrogen Storage ◽  
Alternative Energy ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Clean Energy ◽  
Energy System ◽  
Liquid Hydrogen ◽  
Rechargeable Batteries ◽  
Oil Crisis

Magnesium can reversibly store about 7.7 wt% hydrogen, equivalent to more than twice the density of liquid hydrogen. This high storage capacity, coupled with a low price, suggests that magnesium and magnesium alloys could be advantageous for use in battery electrodes and gaseous-hydrogen storage systems. The use of a hydrogen-storage medium based on magnesium, combined with a fuel cell to convert the hydrogen into electrical energy, is an attractive proposition for a clean transportation system. However, the advent of such a system will require further research into magnesium-based alloys that form less stable hydrides and proton-conducting membranes that can raise the operating temperature of the current fuel cells.Following the U.S. oil crisis of 1974, research into alternative energy-storage and distribution systems was vigorously pursued. The controlled oxidation of hydrogen to form water was proposed as a clean energy system, creating a need for light and safe hydrogen-storage media. Extensive research was done on inter-metallic alloys, which can store hydrogen at densities of about 1500 cm3-H2 gas/ cm3-hydride, higher than the storage density achieved in liquid hydrogen (784 cm3/cm3 at –273°C) or in pressure tanks (˜200 cm3/cm3 at 200 atm). The interest in metal hydrides accelerated following the development of portable electronic devices (video cameras, cellular phones, laptop computers, tools, etc.), which created a consumer market for compact, rechargeable batteries. Initially, nickel-cadmium batteries fulfilled this need, but their relatively low energy density and the toxicity of cadmium helped to drive the development of higher-energy-density, less toxic, rechargeable batteries.

scholarly journals Techno-Economic Feasibility Study of Investigation of Renewable Energy System for Rural Electrification in South Algeria

2018 ◽  
Vol 8 (5) ◽  
pp. 3421-3426 ◽  
Author(s):  
F. Chermat ◽  
M. Khemliche ◽  
A. E. Badoud ◽  
S. Latreche
Keyword(s):  
Greenhouse Gas Emission ◽  
Electrical Energy ◽  
Energy System ◽  
Economic Feasibility ◽  
Maintenance Cost ◽  
Management Algorithm ◽  
Cost Of Energy ◽  
The Cost ◽  
Operation And Maintenance Cost ◽  
Different Sources

This work aims to consider the combination of different technologies regarding energy production and management with four possible configurations. We present an energy management algorithm to detect the best design and the best configuration from the combination of different sources. This combination allows us to produce the necessary electrical energy for supplying habitation without interruption. A comparative study is conducted among the different combinations on the basis of the cost of energy, diesel consumption, diesel price, capital cost, replacement cost, operation, and maintenance cost and greenhouse gas emission. Sensitivity analysis is also performed.

scholarly journals Investigation of Ways to Reduce the Inrush Current when Starting High-Voltage Motors

2021 ◽  
Vol 21 (2) ◽  
pp. 94-104
Keyword(s):  
High Voltage ◽  
High Power ◽  
Oil And Gas ◽  
Supply Voltage ◽  
Electrical Energy ◽  
Oil And Gas Industry ◽  
Energy System ◽  
Energy Performance ◽  
Inrush Current ◽  
Industrial Enterprises

The operation of high-power industrial electrical installations, particularly in metallurgy and the oil and gas industry, is associated with complex technological processes that require increased attention to the equipment used, as such equipment is used in complex and dangerous production conditions and in continuous operation facilities. High-voltage air and gas compressors are objects with increased electrical energy consumption and have significant starting currents. These circumstances affect both the shape of the supply voltage and the state of the energy system in general. Currently, the development of methods for limiting inrush currents is an urgent task for objects used in industrial enterprises. Introducing a compressor into the technological process is sometimes requires prior coordination of its start with the equipment in operation, especially that with a high power consumption. The paper studies the existing control system as well as ways to upgrade the system to improve its energy performance.

scholarly journals A Research on Power Quality Enhancement and Energy Management of Solar-Wind Hybrid Smart Grid System

2019 ◽  
Vol 9 (1) ◽  
pp. 6868-6870
Keyword(s):  
Solar Wind ◽  
Smart Grid ◽  
Power System ◽  
Power Quality ◽  
Electrical Energy ◽  
Energy System ◽  
Grid System ◽  
Hybrid Renewable Energy System ◽  
Smart Grid System ◽  
Micro Grids

A solar-wind hybrid system plays a key role in power generation and becomes very important role to smart grid power systems. Also, the wind-solar hybrid energy storage control systems in coordination of energy markets, made economical to the electrical power system power system. Hybrid renewable energy system connected micro-grid consists of significant identification; in view of solve the rising electrical energy demand. In addition to this the problem of harmonic distortion in micro-grids due to the non-linear loads is an indispensable topic of study. Also, it is very significant for the better understanding of the power quality impacts in micro-grids. This paper presents detail analysis of different control techniques for optimization of harmonics in smart grid system and enhancement in power quality of the smart grid system. The performance of the control system is verified through the MATLAB simulation of the hybrid solar-wind electrical energy system.

Microbial Desalination Cells for Low Energy Drinking Water

2021 ◽  
Author(s):  
Juan Arévalo ◽  
Juan Manuel Ortiz ◽  
Eduard Borràs-Camps ◽  
Victor Monsalvo-Garcia ◽  
Maria D. Kennedy ◽  
...  
Keyword(s):  
Drinking Water ◽  
Wastewater Treatment ◽  
Sea Water ◽  
Electrical Energy ◽  
Energy System ◽  
Electrochemical Reactor ◽  
Treated Wastewater ◽  
External Energy ◽  
Design And Optimization ◽  
Pre Treatment

The world's largest demonstrator of a revolutionary energy system in desalination for drinking water production is in operation. MIDES uses Microbial Desalination Cells (MDC) in a pre-treatment step for reverse osmosis (RO), for simultaneous saline stream desalination and wastewater treatment. MDCs are based on bio-electro-chemical technology, in which biological wastewater treatment can be coupled to the desalination of a saline stream using ion exchange membranes without external energy input. MDCs simultaneously treat wastewater and perform desalination using the energy contained in the wastewater. In fact, an MDC can produce around 1.8 kWh of bioelectricity from the energy contained in 1 m3 of wastewater. Compared to traditional RO, more than 3 kWh/m3 of electrical energy is saved. With this novel technology, two low-quality water streams (saline stream, wastewater) are transformed into two high-quality streams (desalinated water, treated wastewater) suitable for further uses. An exhaustive scaling-up process was carried out in which all MIDES partners worked together on nanostructured electrodes, antifouling membranes, electrochemical reactor design and optimization, life cycle assessment, microbial electrochemistry and physiology expertise, and process engineering and control. The roadmap of the lab-MDC upscaling goes through the assembly of a pre-pilot MDC, towards the development of the demonstrator of the MDC technology (patented). Nominal desalination rate between 4-11 Lm-2h-1 is reached with a current efficiency of 40 %. After the scalability success, two MDC pilot plants were designed and constructed consisting of one stack of 15 MDC pilot units with a 0.4 m2 electrode area per unit. This book presents the information generated throughout the EU funded MIDES project and includes the latest developments related to desalination of sea water and brackish water by applying microbial desalination cells. ISBN: 9781789062113 (Paperback) ISBN: 9781789062120 (eBook)

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