منو
بروندادهای پژوهشی
مرتب سازی بر اساس: سال انتشار
(نزولی)
Jannati, M. ,
Vahidi, B. ,
Hosseinian s.h., S.H. ,
Baghaee h.r., Publication Date: 2008
pp. 203-207
Almost 70-90% of faults in extra high voltage (EHV) transmission lines in modern interconnected power systems are intrinsically transient. The necessity of rapid fault clearing results in fast developing of protection equipments. Morever, need for reliable supplying of loads, lead to improve in single phase auto-reclosing equipments. In this paper, a new method is proposed to reduce dead time of transmission lines. Leads to improve the performance and efficiency of single phase auto-reclosing. In the occurrence of permanent faults, the proposed yardstick is accurate and authentic to diagnose fault's type (transient or permanent). To validate accuracy and authenticity of proposed method, a 765 kV transmission system is simulated in Electromagnetic Transients Program software and results are presented. © 2008 IEEE.
Publication Date: 2008
pp. 307-311
A novel approach for fault detection in high voltage DC transmission systems using neural networks is presented. In the presented method, at first, Harmonics of voltage waveform in rectifier side are derived rapidly by using an adaptive linear neuron. Then, different types of faults including DC line fault, AC system Fault and Converter's faults are detected property using proposed criterion. In the under study voltage DC transmission systems system, rectifier and its controllers and required filters is modeled completely. A proposed criterion is tested on a high voltage DC system by computer simulation performed in MATLAB/Simulink environment. Simulation resultes demonstrates that the proposed approach can be used for online fault detection in high voltage DC systems. © 2008 IEEE.
Jannati, M. ,
Vahidi, B. ,
Hosseinian s.h., S.H. ,
Baghaee h.r., Publication Date: 2008
pp. 215-220
Reducing dead time of high voltage power transmission lines is one of the most important issues in power system protection. Besides, need for reducing the dead time is a matter of grave concern to increase voltage level of power transmission lines and insulation coordination. In this paper, different methods for decreasing the capacitive coupling and consequently reducing the dead time of power transmission lines are compared. This leads to faster quenching of secondary arc and limit the transient over voltage. Moreover, a novel hybrid approach is presented for reducing dead time of power transmission lines and faster quenching of secondary arc current. Simulations performed in electromagnetic transient program are performed for different cases. Simulation results show that dead time is reduced appropriately by proposed method.
Publication Date: 2008
Simulation (17413133) 84(12)pp. 601-610
In modern interconnected power systems, almost 70-90% of faults in high voltage Power Transmission Lines (PTLs) are intrinsically transient. The necessity of rapid fault clearing results in fast developing of protection equipments. Moreover, need for reliable supplying of loads, lead to improvements in single-phase autoreclosure (SPAR) equipments. An ADAptive LInear NEuron (ADALINE) is suitable for important applications such as protection of power systems and digital relays. In this paper, a novel simple adaptive SPAR algorithm is introduced. This algorithm is based on learning error function of an ADALINE. It can be distinguished by fault type (transient fault or a permanent fault), and if the fault is permanent, autoreclosure should be blocked. This leads to improve the performance and efficiency of SPAR. Electromagnetic transients program-based simulation results show that the autoreclosure scheme based on learning error function of ADALINE on a typical 400 kV circuit for various system and fault conditions improves the reliability of fault discrimination.© 2008 The Society for Modeling and Simulation International.
Baghaee h.r., ,
Jannati, M. ,
Vahidi, B. ,
Hosseinian s.h., S.H. ,
Rastegar h., Publication Date: 2008
pp. 209-214
Modern power systems are prone to widespread failures. With the increase in power demand, operation and planning of large interconnected power system are becoming more and more complex, so power system will become less secure. Operating environment, conventional planning and operating methods can leave power system exposed to instabilities. Voltage instability is one of the phenomena which have result in a major blackout. Moreover, with the fast development of restructuring, the problem of voltage stability has become a major concern in deregulated power systems. To maintain security of such systems, it is desirable to plan suitable measures to improve power system security and increase voltage stability margins. FACTS devices can regulate the active and reactive power control as well as adaptive to voltage-magnitude control simultaneously because of their flexibility and fast control characteristics. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve voltage stability margins. This paper presents a Genetic Algorithm (GA) based allocation algorithm for FACTS devices considering Cost function of FACTS devices and power system losses. Proposed algorithm is tested on IEEE 30 bus power system for optimal allocation of multi-type FACTS devices and results are presented.
Baghaee h.r., ,
Jannati, M. ,
Vahidi, B. ,
Hosseinian s.h., S.H. ,
Jazebi s., Publication Date: 2008
pp. 162-166
as power transfer increases, operation of power system become gradually more complex. Short circuit level increases and so power system will become less secure. Moreover, the problem of power system, security has become a mater of grave concern in the deregulated power industry. FACTS devices can control power flow because of their flexibility and fast control characteristics. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve power system security. This paper presents a novel algorithm for allocation of FACTS devices based on Genetic Algorithm (GA). Cost function of FACTS devices and power system losses are considered in this algorithm. Proposed algorithm is tested on IEEE 30 bus power system for optimal allocation of multi-type FACTS devices and results are presented © 2008 IEEE.
Publication Date: 2008
Energy Conversion and Management (01968904) 49(10)pp. 2629-2641
The introduction of liberalized electricity markets in many countries has resulted in more highly stressed power systems. On the other hand, operating points of a power system are acceptable in the feasible region, which is surrounded by the borders of different stabilities. Power system instability is critical for all participants of the electricity market. Determination of different stability margins can result in the optimum utilization of power system with minimum risk. This paper focuses on the small disturbance voltage stability, which is an important subset of the power system global stability. This kind of voltage stability is usually evaluated by static analysis tools such as continuation power flow, while it essentially has dynamic nature. Besides, a combination of linear and nonlinear analysis tools is required to correctly analyze it. In this paper, a hybrid evaluation method composed of static, dynamic, linear, and nonlinear analysis tools is proposed for this purpose. Effect of load scenario, generation pattern, branch and generator contingency on the small disturbance voltage stability are evaluated by the hybrid method. The test results are given for New England and IEEE68 bus test systems. © 2008 Elsevier Ltd. All rights reserved.
Loading of today power systems continuously increases especially in the developed countries and liberalized electricity markets. On the other hand, operating points of a power system are acceptable in the feasible region usually surrounded by the borders of different stabilities. Power system instability is critical for all participants of the electricity market. Determination of different stability margins can result in the optimum utilization of power system with minimum risk. This paper focuses on the small disturbance voltage stability, a major concern of the power system global stability. This kind of voltage stability is usually evaluated by static analysis tools such as continuation power flow, while it essentially has dynamic nature. Besides, a combination of linear and nonlinear analysis tools is required to correctly analyze it. In this paper, a hybrid evaluation method composed of static, dynamic, linear, and nonlinear analysis tools is proposed for this purpose. Effect of load scenario, generation pattern, branch and generator contingency on the small disturbance voltage stability are evaluated by the hybrid method. The test results are given for two bus, New England and IEEE 68 bus test systems. ©2008 IEEE.
Publication Date: 2009
International Review of Electrical Engineering (25332244) 4(5)pp. 985-993
Nearly 80% of faults in extra high voltage transmission lines are intrinsically transient. The necessity of rapid fault clearing has resulted in fast development of protection equipments. Moreover, need for reliable supply of loads has led to improvements in single phase auto-reclosing equipments. The success of the single phase auto-reclosing depends on the extinction of the secondary arc. In this paper, a novel adaptive single phase auto-reclosure is introduced. This auto-reclosure is based on the faulted phase voltage fundamental harmonic to discriminate between transient and permanent faults and also detect the extinguishing time of secondary arc.Validation of the proposed algorithm is verified via various simulations in EMTP/ATP software and experimental test. © 2009 Praise Worthy Prize S.r.l.
Publication Date: 2009
pp. 724-727
In this paper, a shape reconstruction method for electromagnetic tomography based on contour deformations exploiting level set method is proposed. The algorithm is able to reconstruct the shape of multiple perfect conducting objects in two-dimensions. Incident waves are assumed to be TM (Transverse Magnetic) plane waves. The fast marching method is used in reinitialization process which has drastically improved the velocity of the reconstruction. The numerical results clearly shows that this inversion algorithm provides accurate reconstructions of objects from initial guess. ©2009 IEEE.
Publication Date: 2010
Inverse Problems (13616420) 26(9)
A shape reconstruction method for microwave imaging of perfect electric conductor objects based on contour deformations exploiting the level set method is presented. The calculation of the method of moments impedance matrix in the direct scattering part is done in a single step using the relation of the original and adjoint systems. In the inverse scattering part the fast marching method is used in the re-initialization process which has drastically improved the velocity of the reconstruction. Based on the simulation results the inverse scattering method presented in this paper has proved to be efficient and accurate, giving highly accurate reconstructions in relatively short computational times for single or multiple objects and also in the presence of noise. The accuracy and efficiency of the method suggest that it could usefully be extended to the three-dimensional case. © 2010 IOP Publishing Ltd.
Publication Date: 2010
pp. 54-58
In this paper, a shape reconstruction method for electromagnetic tomography based on contour deformations exploiting level set method is proposed. The algorithm is able to reconstruct the shape of multiple perfect conducting objects in two-dimensions. Incident waves are assumed to be TM (Transverse Magnetic) plane waves. The fast marching method is used in reinitialization process which has drastically improved the velocity of the reconstruction. The numerical results clearly shows that this inversion algorithm provides accurate reconstructions of objects from initial guess. ©2010 IEEE.
Publication Date: 2010
Asia-Pacific Power and Energy Engineering Conference, APPEEC (21574847)
Various studies have showed that about 70 to 90% of single line to ground faults occurred on High voltage transmission lines have transient nature. This type of faults is cleared by temporary outage (by the single phase auto-reclosure). The interval between opening and reclosing of the faulted phase circuit breakers is named "Dead Time" that is varying about several hundred milliseconds. For adjustment of traditional single phase auto-reclosures that usually are not intelligent, it is necessary to calculate the dead time in the off-line condition precisely. If the dead time used in adjustment of single phase auto-reclosure is less than the real dead time, the reclosing of circuit breakers threats the power systems seriously. So in this paper a novel approach for precise calculation of dead time in power transmission lines based on the network equivalencing in time domain is presented. This approach has extremely higher precision in comparison with the traditional method based on Thevenin equivalent circuit. For comparison between the proposed approach in this paper and the traditional method, a comprehensive simulation by EMTP-ATP is performed on an extensive power network. ©2010 IEEE.
Publication Date: 2010
International Review on Modelling and Simulations (19749821) 3(6)pp. 1483-1491
Modeling of transient states is one of the important part of power system analysis. Also, the EMTP/ATP is the standard software widely used universally accepted program by the electrical engineers for digital simulation of Electromagnetic Transient phenomena, as well as electromechanically behaviors of electrical power systems. In this paper, a new method has been introduced to teach the Ms Students of electrical engineering as a part of power system transient course. Simulation of fault arc by EMTP/ATP has been presented in order to teach the principles of fault arc modeling in power systems and to analyze the simulation results of transient states. As the first part of this paper, the fault arc model in power systems and its distinction in TACS has been clarified. At the second part, the step by step simulation of arc model in TACS has been presented. The effectiveness of this method has been shown in several semesters with more than 20 students and it can improve the understanding of TACS capabilities and fault arc model. © 2010 Praise Worthy Prize S.r.l.-All rights reserved.
Jannati, M. ,
Jazebi s., ,
Vahidi, B. ,
Hosseinian s.h., S.H. Publication Date: 2011
Journal of Electrical Engineering and Technology (19750102) 6(6)pp. 742-749
Power transmission lines are one of the most important components of electric power system. Failures in the operation of power transmission lines can result in serious power system problems. Hence, fault diagnosis (transient or permanent) in power transmission lines is very important to ensure the reliable operation of the power system. A hidden Markov model (HMM), a powerful pattern recognizer, classifies events in a probabilistic manner based on fault signal waveform and characteristics. This paper presents application of HMM to classify faults in overhead power transmission lines. The algorithm uses voltage samples of one-fourth cycle from the inception of the fault. The simulation performed in EMTPWorks and MATLAB environments validates the fast response of the classifier, which provides fast and accurate protection scheme for power transmission lines.
Publication Date: 2011
Energy Conversion and Management (01968904) 52(2)pp. 1354-1363
A novel differential protection approach is introduced in the present paper. The proposed scheme is a combination of Support Vector Machine (SVM) and wavelet transform theories. Two common transients such as magnetizing inrush current and internal fault are considered. A new wavelet feature is extracted which reduces the computational cost and enhances the discrimination accuracy of SVM. Particle swarm optimization technique (PSO) has been applied to tune SVM parameters. The suitable performance of this method is demonstrated by simulation of different faults and switching conditions on a power transformer in PSCAD/EMTDC software. The method has the advantages of high accuracy and low computational burden (less than a quarter of a cycle). The other advantage is that the method is not dependent on a specific threshold. Sympathetic and recovery inrush currents also have been simulated and investigated. Results show that the proposed method could remain stable even in noisy environments. © 2010 Elsevier Ltd. All rights reserved.
Jannati, M. ,
Vahidi, B. ,
Hosseinian s.h., S.H. ,
Ahadi s.m., Publication Date: 2011
International Journal of Electrical Power and Energy Systems (01420615) 33(3)pp. 639-646
In modern interconnected power systems, nearly 80% of faults in high voltage transmission lines are intrinsically transient. The necessity of rapid fault clearing has resulted in fast development of protection equipments. Moreover, need for reliable supply of loads has led to improvements in single phase auto-reclosing equipments. In this paper, a novel and efficient method is proposed that leading to improved performance and efficiency of single phase auto-reclosing. In the case of occurrence of permanent faults, the proposed yardstick is accurate and authentic to diagnose fault type (transient or permanent). To validate accuracy and authenticity of the proposed method, a 400 kV transmission system is simulated using EMTP software and results are presented. © 2010 Elsevier Ltd. All rights reserved.
Publication Date: 2011
European Journal of Scientific Research (discontinued) (1450202X) 66(4)pp. 643-652
The purpose of this study is to review the relationship between changes in dividends, earnings per share and changes in earnings per share with changes in future earnings. The sample included 100 active companies in Tehran Stock Exchange during the financial years 2005 to 2010. To clarify the relationship, 12 hypotheses have been established and to examine them, the tests of correlation and regression were used. Hypothesis were established based on correlations relation among changes in dividends, earnings per share and changes in earnings per share with changes in future earnings for companies able to predict cash flow ,different market value to book value ratio and equity rerun. The results show strong relationship (correlations) among changes in dividends, earning per share and changes in earnings per share for companies with higher market to book value ratio , higher equity return and lower cash flow predictability. Among main variables, earnings per share and among virtual variables, market value to book value had better effect on changes in future earnings. The correlation coefficient (R) of 0.490 for three main variables has changed to 0.621 for both main and virtual variables. © EuroJournals Publishing, Inc. 2011.
Talebnia, G. ,
Zare, I. ,
Abadi, F.A.N. ,
Fathi, M. Publication Date: 2011
International Research Journal of Finance and Economics (discontinued) (14502887) 80pp. 94-104
If investment is just demarcated to specific assets, investment process may come cross considerable risk of losing the capital; but if an assortment of investments is organized in such a way to be the best possible set, investors, by minimizing the attendant risks, can approach the optimum rate of return that is close to the market value. In this study, Capital Assets Pricing Model (CAPM), Fama and French three factor model and Value-at-Risk (VaR) model and their forecasting capabilities are thoroughly analyzed. Investors are aptly informed to make a conscious decision in extracting the best portfolio set. The study sample consisted of 109 companies listed in Tehran Stock Exchange, on a monthly basis (96 months) during 2001-2008 and was selected. This study is based on assumptions that each model is efficient enough to forecast the arrangement of optimum portfolios. The regression test of out hypotheses indicates that CAPM model and Fama and French model are competent enough to forecast the structure of portfolios but VaR model's estimations must be cautiously applied. © EuroJournals Publishing, Inc. 2011.
Publication Date: 2011
European Journal of Economics, Finance and Administrative Sciences (discontinued) (14502275) (43)pp. 44-49
Capital market investors with a better understanding of the effects of earnings per share and earnings per share of changes in future profits of various industries to invest instocks that them to obtain maximum efficiency. This study factors of influencing in changes of firms future earnings for predicting future earnings changes include earningsper share is discussed. Statistical community in this study consists of all companies listed securities Tehran. To perform this study, the sample consisted of 110 companieslisted in Tehran Stock Exchange during the duration (2004-2010) was evaluated and selected. This study design a model using multiple regression and error level of 5% waspaid to test these assumptions. Research findings indicate that between " earnings per share " and future earnings changes and positive significant relationship exists. Theresults of the test sub-hypothesis states that research for companies that market to book value of equity yields higher and higher change of dividends factor have therelationship between future earnings changes is stronger. © EuroJournals, Inc. 2011.
Publication Date: 2011
International Research Journal of Finance and Economics (discontinued) (14502887) 77pp. 95-101
Provide information essential to a correct and informed decisions on different groups of investors are particularly,This information is important for investors and others should be able to provide adequate disclosure and to be useful in deciding them.The purpose of this study is that Companies in the Tehran Stock Exchange on admission rates and information disclosure in the financial statements are the effects? The study sample consisted of 72 members participated in the Tehran Stock Exchange's 10-year period (1997 -2007) were selected. It uses normality test Kolomugorof - Simonov to review level of information disclosure and it uses t-test for comparison rate of disclosure before and after company acceptance in Tehran Stock Exchange and it uses p- test to reject or accept assumption. With regard to above cases, the following results obtain: Presentation and disclosure of information between companies in the financial statements of the companies in the stock and then there is a significant difference so member companies in the stock market has considerable effect on the amount of information in financial statements. © EuroJournals Publishing, Inc. 2011.
Publication Date: 2012
Electromagnetics (1532527X) 32(6)pp. 362-374
A new hybrid method for a complete identification of multiple scattering two-dimensional objects using microwaves is proposed in this study, where the scatterers are assumed to be separated with different homogenous dielectric mediums. The hybrid approach consists of initially retrieving the shape and the position of the scattering objects using a linear sampling method and then determining the electric permittivity and conductivity of the scatterers using an intelligent and deterministic methodthe so-called adjoint sensitivity analysis. This approach is technically correct and well organized, which results in high computational speed, efficiency, and stability. In addition, the technique can be generalized for any scatterer structure. Numerical results are used to validate the feasibility of the approach proposed. © 2012 Copyright Taylor and Francis Group, LLC.
Zare, I. ,
Aghjehkandi, M.O. ,
Aghjehkandi, G.O. Publication Date: 2012
Middle East Journal of Scientific Research (discontinued) (19998147) 11(1)pp. 32-38
Reliability and relevance are the most important qualitative characteristic of accounting information. Goodwill and intangible assets are among reported items in financial statements under title of fixed assets, which they have different nature from other assets or other items of financial statements. In this research, we study reliability and relevance of reported values of goodwill and intangible assets in financial statements. If accounting items have two characteristic of relevance and reliability, they should be used in decision-making and must affect market value. To do this research, a sample including 88 member companies in Tehran Stock Exchange for 5 years (2005-2010) was selected and studied. Also, to study reliability and relevance of goodwill and intangible assets of reported items in financial statements, correlation of these two factors with market value of companies was studied by regression. After fulfillment of this research and confirmation of research Hypothesis, it was found that there is a positive and significant relation between reported values of intangible assets and goodwill as independent variable and qualitative characteristic of information as dependent variable. © IDOSI Publications, 2012.
Publication Date: 2012
Electric Power Components and Systems (15325016) 40(13)pp. 1445-1469
This article presents a new hybrid solution approach based on Benders decomposition and outer approximation to solve the security-constrained unit commitment problem. The security-constrained unit commitment model includes both thermal and hydro unit commitment as well as AC network modeling. The proposed solution method decomposes the security-constrained unit commitment formulation into a master problem and sub-problem. The master problem includes a mixed-integer linear model of unit commitment, while the sub-problem contains a non-linear formulation for security-constrained economic dispatch of each time interval. The master problem accumulates linearizations (outer approximations) and Benders cuts obtained from the solution of the sub-problem. The proposed method can efficiently solve the security-constrained unit commitment problem with a low computation burden, completely satisfying diverse constraints of the problem with zero penalty terms. The proposed hybrid solution approach is tested on the well-known 9-bus and IEEE 118-bus test systems and compared with some other recently published solution methods. These comparisons confirm the validity of the developed approach. © 2012 Taylor and Francis Group, LLC.
This paper evaluates the effect of possible energy policy changes on multi-objective optimal design and planning of a hybrid energy system. The study was performed for a remote area near Esfarjan, a village located in Shahreza, Iran. In the main scenario, the current energy policy is examined, while the sensitivity analysis scenario applies the near future condition that is gradually taking place by reducing the energy subsidies. Simulations have been done on six different system configurations for the both scenarios considering the two mentioned policies for electricity price, fuel price and environmental issues. Results show that in sensitivity scenario, in contrast with the main scenario, the renewable-grid configuration is more economical than the grid-only dependent system, which in turn will result in more interest in investing on renewable resources. Finally, the energy modeling software for hybrid renewable energy systems, HOMER is used in this study. © 2013 IEEE.
Publication Date: 2013
Middle East Journal of Scientific Research (discontinued) (19998147) 13(3)pp. 280-287
Tourism has many social, cultural and environmental effects which affects domestic people, so has produced many concerns. It is anticipated that tourist will travel too much in the next 20 years because of tourism's economical and social effects. Tourism play an important role in world economy and it is expected that it get more importance in the next years. Tourism affects occupation rate, payment balance and economical stability of many countries. This industry is an application one, so that is a potential to improve occupation situation, especially for low-skilled jobs. In Tajikistan, unemployment rate is focused in this area. In addition, tourism jobs are more dispersed than the other economical divisions, so they are parallel to decentralization policy of Tajikistan. According to the experts, one of the reasons for unsuccessfulness of Tajikistan in tourism is low notice to modern tourism market. A sample of 80 active persons in tourism industry in Tajikistan for four years (2007-2010) was selected. Binomial test, Freedman variance analysis test and correlation test were used to test assumptions. The results show that Suitable distribution channels strategies affect attraction of foreign tourists. © IDOSI Publications, 2013.
A new risk-constrained bidding curve construction method is presented in this paper. A Day-ahead energy market has been chosen for competition of GenCos and the Information Gap Decision Theory (IGDT) is used for modelling the Day-ahead market price uncertainty and its corresponding risk. The bilateral contracts of the GenCo are also considered in the proposed framework. A Bi-level optimization problem is incorporated in the proposed method to guarantee a pre-specified level of revenue. The proposed IGDT based method constructs the non-decreasing bidding curve while dispatching units based on the uncertain forecasted prices of the next-day market. The verification of the proposed method is demonstrated by simulation of a GenCo with 5 thermal units in various day-ahead markets. © 2013 IEEE.
Publication Date: 2013
Middle East Journal of Scientific Research (discontinued) (19998147) 18(7)pp. 1042-1047
In knowledge-based economy, intellectual capital is used to create and increase of organizational value and the position of any organization depends on managing these valuable and scarce resources. According to resource-based perspective of company, intellectual capitals are strategic resources that enable companies to create competitive advantage and better financial performance. So, the managers should measure intellectual capital as an important criterion for increasing business performance of organizations, determining the real value f intellectual capitals and even improving their control. In this paper we attempt to investigate the relationship between intellectual capital and increase of organizational value. In this research, firstly intellectual capital value of companies accepted in Tehran stock exchange in a 7 years period between 2006-2012 was calculated using VAIC model. Then, the relationship between intellectual capital and the elements of organizational value of companies was evaluated. In this study, the statistical methods used for data analysis are multiple regression and correlation coefficients. The selected sample includes 84 companies for a period of 7 years and company size, type of industry and investment intensity ratio have been considered as control variables. The findings show significant and positive relationship between intellectual capital and increase of organizational value and the positive effect of control variables on the relationship between intellectual capital and increase of organizational value. © IDOSI Publications, 2013.
This paper studies the optimal planning of a renewable based energy supply plan for a residential building. It has been assumed tha the building involves a platform equipped with smart communication and metering infrastructures, recalling the smart home (SH) concept. The best economically optimal model is choosed in each case based on the net present cost (NPC) and the cost of energy (COE) criteria. Mutual effects of the inflation rate uncertainty, project life-time span and a comparative model to study the use of combined heat and power (CHP) technology on the objective function have been modelled. An economic index related to environmental issues and one related to the thermal load supply have been defined and analysed. Finally a conclusion has been done according to results achieved throughout the study. © 2013 IAEEE.
This paper investigates the optimal management of a renewable based energy supply design for a residential building equipped with smart communication and metering infrastructures, approaching the smart home (SH) concept. The best economically optimal model is selected in each case based on the net present cost (NPC) and the cost of energy (COE) criteria. Mutual effects of the inflation rate uncertainty, project lifetime span and a comparative model to study the use of combined heat and power (CHP) technology on the objective function have been modelled. An economic index related to environmental issues and one related to the thermal load supply have been defined and analysed. Finally a conclusion has been done according to results achieved throughout the study. © 2013 IEEE.
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University of Isfahan
Address: Isfahan, Azadi Square, University of Isfahan
