XML
-
-
List of Articles
-
Open Access Article
1 - Mix proportioning of high-performance concrete by applying the GA and PSO
Alireza rezaee mohamad reza hasani ahangarHigh performance concrete is designed to meets special requirements such as high strength, high flowability, and high durability in large scale concrete construction. To obtain such performance many trial mixes are required to find desired combination of materials and MoreHigh performance concrete is designed to meets special requirements such as high strength, high flowability, and high durability in large scale concrete construction. To obtain such performance many trial mixes are required to find desired combination of materials and there is no conventional way to achieve proper mix proportioning. Genetic algorithm is a global optimization technique based on mechanics of natural selection and natural genetics and can be used to find a near optimal solution to a problem that may have many solutions. Particle swarm optimization is another evolutionary searching strategy motivated by social behaviors to obtain optimum answer. This paper presents a method whereby the mixture proportion of concrete can be optimized to reduce the number of trial mixtures with desired properties by using the genetic algorithm and particle swarm optimization techniques. Manuscript profile -
Open Access Article
2 - Extraction of Sensory part of Ulnar Nerve Signal Using Blind Source Separation Method
Alireza Kashaninia S Nooreddin JafariA recorded nerve signal via an electrode is composed of many evokes or action potentials, (originated from individual axons) which may be considered as different initial sources. Recovering these primitive sources in its turn may lead us to the anatomic originations o MoreA recorded nerve signal via an electrode is composed of many evokes or action potentials, (originated from individual axons) which may be considered as different initial sources. Recovering these primitive sources in its turn may lead us to the anatomic originations of a nerve signal which will give us outstanding foresights in neural rehabilitations. Accordingly, clinical interests may be raised on extraction of sensory and motor components of the nerve signals in neural injuries. One example is to extract sensory fraction in sacral nerve to sense the bladder filling up in paraplegic or quadriplegic people [3]. Blind Source Separation (BSS) methods seem good solutions for extraction of the initial sources which are contributing in recorded mixed sources. Considering the nerve signal as a superposition of many axonal or fascicular signals, we have encouraged to try BSS methods to see whether it can recover the sensory and motor sources of a recorded nerve signal. Accordingly, both PCA and ICA techniques were examined in a case study (human left arm), in which the response of the ADM muscle to the Ulnar nerve stimulation were recorded in two points. The corresponded sensory signal was recorded on the pinkie at the same time (all recordings were done via surface electrodes). It was shown that ICA (supremely better than PCA) was able to separate initial sources (ADM recorded signals) into two signals so that one of them was most similar to the sensory (Pinkie) signal. The level of similarity was quantified via correlation analysis. As the result, it is concluded that ICA is capable of extracting Sensory and Motor signals in PNS. Manuscript profile -
Open Access Article
3 - Loss of Load Expectation Assessment in Deregulated Power Systems Using Monte Carlo Simulation and Intelligent Systems
H Haroonabadi M.-R HaghifamDeregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. Also, because of power mark MoreDeregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. In this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. Also, because of power market and generators’ forced outages stochastic behavior, Monte Carlo Simulation is used for reliability evaluation. Generation reliability merely focuses on interaction between generation complex and load. Therefore, in this research, based on market type and its concentration, reserve margin, and various future times, a Neuro-Fuzzy system is proposed for evaluation of generation reliability which is valid and usable for all kinds of power pool markets. Finally, the proposed method is assessed on IEEE-Reliability Test System with satisfactory results. It will be shown that if market becomes more concentrated or price elasticity of demand increases, reliability will improve Manuscript profile -
Open Access Article
4 - Analysis and Comparison of Load Flow Methods for Distribution Networks Considering Distributed Generation
M Sedghi M Aliakbar-GolkarConventional passive distribution networks are changing to modern active distribution networks which are not radial. Conventional load flow methods should be modified for new distribution networks analysis. In modern distribution networks distributed generation (DG) u MoreConventional passive distribution networks are changing to modern active distribution networks which are not radial. Conventional load flow methods should be modified for new distribution networks analysis. In modern distribution networks distributed generation (DG) units are embedded with conventional and/or renewable resources. DG units are generally modeled as PV or PQ nodes which inject active power electricity to the network. Modeling of a DG unit is dependent on the operation and its type of connection to the grid. This paper considers the most important new load flow methods for DG integrated distribution networks. The methods are analyzed and compared with each other. Every method has advantages and disadvantages in different conditions. So, comparison of these methods can be useful to select the best method for a typical network. As a result, some suggestions are proposed to apply the new methods. Manuscript profile -
Open Access Article
5 - The Influence of Smart Grid on TOU Programs With Respect to Production Cost and Load Factor, A Case Study of Iran
Hassan Monsef Pouyan KhajaviReaching an electricity system which is both economically efficient and environmentally friendly is motivating countries to design and execute different types of TOU demand response programs. But there are certain deficiencies which prevent these programs to effective MoreReaching an electricity system which is both economically efficient and environmentally friendly is motivating countries to design and execute different types of TOU demand response programs. But there are certain deficiencies which prevent these programs to effectively modify the load shape. Smart grid as a means could help the electricity system to reach the highest demand side management goals which are inaccessible through today’s methods. In this paper, problems facing today’s demand response programs have been described and Iran’s recently designed TOU program has been analyzed as an example. The influence of this program has been simulated on Iran’s actual load curve. As a solution to the problems facing DR programs, Smart Grid has been introduced and the influence of Real Time Pricing (RTP) program in Smart Grid has been simulated on an actual load curve of Iran’s grid, using multi period load model and adaptive periods. Reaching market equilibrium and the effect of Smart Grid on price curve has also been simulated. Finally, the current TOU program designed for Iran and the RTP program in smart grid have been compared with respect to load shape modification, load factor, price curve, and production cost. Eventually, savings made possible through smart grid per day have been evaluated. Manuscript profile
-
The rights to this website are owned by the Raimag Press Management System.
Copyright © 2021-2024