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Open Access Article

1 - Evaluation of the International Traffic Management Role in the Telecommunication Company of Iran and a Proposed Model for Optimizing Management Capabilities
B. Kafi M. Abdolkarimi

Development of telecommunications and privatization issues of the telecommunication markets has imposed a reverse pressure on international calculation rates. One of the advanced technologies responsible for this disruption in the calculation system of th More

Development of telecommunications and privatization issues of the telecommunication markets has imposed a reverse pressure on international calculation rates. One of the advanced technologies responsible for this disruption in the calculation system of the telecommunication companies is a phenomenon called Voice over Internet Protocol (VoIP). With regard to the balance deficit of the International communications in foreign currency arbitrages that amounted to $41 million, $61 million and $56 million from 2002 to 2004, TCI should adopt a long-term strategy for leaving the traditional networks to avoid huge losses in future years. This research was aimed to identify the effective factors of the above described foreign currency arbitrages' balance deficits, to measure the effect of the identified factors and to prioritize those identified factors. This research is based on eight hypotheses; specifically 1- Leadership and Senior Management Styles.2- Marketing Management Capabilities.3- Technical and Technological Management Issues.4- Human Resources Management the Vision.5- Financial Management Issues.6- Procurement Management Skills and Know-How.7- Effects of other international and State organizations' support increating the international communications foreign currency arbitragesof the Telecommunications Company of Iran.8- Significant differences in differences among the series of Managerial Factors in creating said foreign currency arbitrages balance deficit. A questionnaire was designed and prepared through implementation of a pilot study. In general, it dealt with the effects of seven managerial factors as well as 31 sub-factors, and it enjoyed the adequate reliability and validity along different phases.The data were analyzed using two parametric and non-parametric testingmethods.In general, the results confirmed 8 hypotheses at a 99 percent level of confidence, and the effective suggestions and strategies were presented on the basis of the results. These were intended to increase the foreign currency revenues of Iran International Communications of Telecommunication Company of Iran. Manuscript profile

Open Access Article

2 - Demand Side Management in a Smart Micro-Grid in the Presence of Renewable Generation and Demand Response
gholamreza aghajani Davar Mirabbasi Behrooz Alfi Hadi Seyyed Hatami

In this study, a stochastic programming model is proposed to optimize the performance of a smart micro-grid in a short term to minimize operating costs and emissions with renewable sources. In order to achieve an accurate model, the use of a probability density function More

In this study, a stochastic programming model is proposed to optimize the performance of a smart micro-grid in a short term to minimize operating costs and emissions with renewable sources. In order to achieve an accurate model, the use of a probability density function to predict the wind speed and solar irradiance is proposed. On the other hand, in order to resolve the power produced from the wind and the solar renewable uncertainty of sources, the use of demand response programs with the participation of residential, commercial and industrial consumers is proposed. In this paper, we recommend the use of incentive-based payments as price offer packages in order to implement demand response programs. Results of the simulation are considered in three different cases for the optimization of operational costs and emissions with/without the involvement of demand response. The multi-objective particle swarm optimization method is utilized to solve this problem. In order to validate the proposed model, it is employed on a sample smart micro-grid, and the obtained numerical results clearly indicate the impact of demand side management on reducing the effect of uncertainty induced by the predicted power generation using wind turbines and solar cells. Manuscript profile

Open Access Article

3 - Design and Implementation of an Optimal PV Refrigeration System in the Smart Grid Considering Multi-objective Optimization
Rasool Javizadegan Mehdi Mahdavian

Today, optimization in power systems is an unavoidable necessity. Energy intensity reduction in electrical devices and enhancement of their efficiency and performance, electricity loss reduction and voltage profile improvement of the power grid are some instances of opt More

Today, optimization in power systems is an unavoidable necessity. Energy intensity reduction in electrical devices and enhancement of their efficiency and performance, electricity loss reduction and voltage profile improvement of the power grid are some instances of optimization usage in power systems. Refrigerated systems, such as refrigerators, can, in addition to exploiting PV systems in a power grid, be part of the supply and demand of electrical energy, so that they store energy as energy and, in the necessary conditions, allow Energy to injecting into the power grid by a photovoltaic system. In this paper, the design and construction of a photovoltaic refrigeration system connected to the network and its optimal performance is discussed. The objective cost and refrigerating temperature functions are considered as two main goals and the final answer is chosen by using the non-dominated sorting genetic optimization algorithm and then using the weighted sum model method. The simulation results with MATLAB software as well as the results of implementing the proposed system's hardware system in the project verify both the performance and the optimal performance of the proposed system. Manuscript profile

Open Access Article

4 - An efficient cloud based architecture to improve smart grid performance
Mohammad Rasoul Momeni Fatemeh Haghighat Mohsen Haghighat

Due to explosive growth of users, increasing energy demand and also the need to improve efficiency and maintain the stability of the electricity grid, smart grid is the only option available to electrical industry engineers. In fact, the smart grid is a physical-cyber s More

Due to explosive growth of users, increasing energy demand and also the need to improve efficiency and maintain the stability of the electricity grid, smart grid is the only option available to electrical industry engineers. In fact, the smart grid is a physical-cyber system that provides coherent and integrated communication, processing and control functions. The smart grid provides control and management of millions of devices in the electricity industry in a reliable, scalable, cost-effective, real time and two-sided manner. Given the increasing growth of cyber threats in the last decade, the need to protect the electricity industry and its critical systems seems essential. The slightest disruption to the power industry's systems results in disruption to other industries, reduced productivity, and discontent. Hence we proposed an efficient cloud based architecture to improve smart grid performance. Proposed architecture provides data security and privacy against different types of cyber-attacks such as replay attack, modification attack and so on. Manuscript profile

Open Access Article

5 - A Comprehensive Review on Data-Driven Techniques in Smart Power Grids
Khalegh Behrouz Dehkordi Homa Movahednejad Mahdi Sharifi

As a promising vision toward obtaining high reliability and better energy management, nowadays power grid is transferring to the smart grid (SG). This process is changing continuously and needs advanced methods to process big data produced by different segments. Artific More

As a promising vision toward obtaining high reliability and better energy management, nowadays power grid is transferring to the smart grid (SG). This process is changing continuously and needs advanced methods to process big data produced by different segments. Artificial intelligence methods can offer data-driven services by extracting valuable information which is produced by meter devices and sensors in smart grids. To this end, machine learning (ML), deep learning (DL), reinforcement learning (RL), and deep reinforcement learning (DRL) can be applied. These methods are able to process huge amounts of data and propose an appropriate solution to solve power industry complex problems. In this paper, the state-of-the-art approaches based on artificial intelligence used by smart power grids for applications and data sources are investigated. Also, the role of big data in smart power grids, and its features such life cycle, and efficient services such as forecast, predictive maintenance, and fault detection are discussed. Manuscript profile

Open Access Article

6 - An Enhanced Routing Algorithm in Smart IoT Networks with Mobile Nodes
Zakieh Sharifian Behrang Barekatain Alfonso Ariza Quinatna Zahra Beheshti Faramarz Safi-Esfahani

The internet of things (IoT) faces various challenges due to its different characteristics and due to the novelty of related technologies and standards. The existence of these different and at the same time new problems has drawn the attention of many scientific re More

The internet of things (IoT) faces various challenges due to its different characteristics and due to the novelty of related technologies and standards. The existence of these different and at the same time new problems has drawn the attention of many scientific researchers toward this new technology. One of the most important and fundamental challenges is related to the topic of routing protocols in static and mobile networks, and more precisely, optimizing and improving the quality of service of it. In this work, a novel flexible, scalable, and efficient routing protocol named MLOADng-AT (mobile lightweight on-demand ad hoc distance vector routing protocol– analytic hierarchy process echnique for order of preference by similarity to ideal solution) has been introduced to overcome the routing challenges in mobile scenarios. Using MLOADng-AT, firstly, taking advantage of the HELLO message, information about link quality parameters and mobility characteristics up to two hops is exchanged among static and mobile nodes. Moreover, it supports an error recovery path without rerunning a new routing process that noticeably decreases the network routing delay. MLOADng-AT can be easily adapted to any quality of service (QoS) parameter with very low complexity which is very important for a delay-sensitive IoT-based network. Finally, in case of noisy conditions especially for mobile networks, the proposed protocol can be efficiently used in low-quality links. Simulation results based on several scenarios depicted that end-to-end delay (EED) and packet delivery ratio (PDR) parameters significantly improved in the proposed method compared to other similar methods. For the area with dimensions of 400 x 200 m2, the obtained values of the EED and PDR parameters are respectively 0.0011 seconds and 98.47%, and also for the scenarios implemented in the area of 800 x 400 m2, the achieved results of the EED and PDR parameters are respectively 0.0059 seconds and 86.167%. Manuscript profile

Open Access Article

7 - Modeling the Retailer in Optimal and Resilient Capacity Planning of Smart Grids, Considering the Demand Side Management Resources and Uncertainties
Ehsan Khoshkerdar Abdollah Rastgou Saeed Kharrati

Every year, many blackouts occur all over the world as a result of natural disasters which cause many economic losses and impose a lot of costs on electricity network in order to restore the network. Therefore, definition of resilience concept and efforts for the resili More

Every year, many blackouts occur all over the world as a result of natural disasters which cause many economic losses and impose a lot of costs on electricity network in order to restore the network. Therefore, definition of resilience concept and efforts for the resilient performance of power grids intensified. One of the important things in the design of resilient power networks is to provide the required capacity of the system by considering the issue of resilience, which is considered in this paper. Considering the economic reasons, the presence of more capacity providers will create competition and improve the efficiency of the market, so demand-side management resources should also be used in the capacity market. Considering that the stable and efficient presence of demand-side management resources in the capacity market is possible only with the participation of load supplying companies, which are considered retailers in this paper, the parameters affecting their behavior and how they interact with the two market segments (market management and consumers) should be modeled on both sides of the market. Therefore, in this paper, it has been modeled and evaluated how the retailer's participation in the capacity market is and to what extent it can be effective in reducing reliability and resilience costs in the capacity market. It is natural that the retailer's profit in this business should also be calculated and it should be ensured that the retailer will be present in this market with an acceptable profit so that the network will also benefit from his presence. Numerical results have shown that using the retailer as a provider of demand-side resources in the capacity market will reduce outage costs by 1.5%, equivalent to saving $297,638 per year. Meanwhile, the retailer will also benefit from this business on an average of $3716 per day.  Manuscript profile

Open Access Article

8 - The impact of blockchain technology on the role of consumers in the electricity system in the electricity legal system of Iran and the European Union
mohamad taqi rafiei vahid vazariyan

10.30495/alr.2022.1940972.2174

Field and Aims: One of the most important legal issues in the electricity supply chain is how to activate consumers who start producing electricity in the electricity market. At the time of writing, the presence and activity of electricity consumers in the Iranian elect More

Field and Aims: One of the most important legal issues in the electricity supply chain is how to activate consumers who start producing electricity in the electricity market. At the time of writing, the presence and activity of electricity consumers in the Iranian electricity market has been very passive. Because their role as independent market participants has been flawed or not facilitated. How Blockchain technology can help customers in the lowest position in the electricity supply chain in Iran to have an active presence in the electricity sector as independent market participants? What legal and political consequences will follow the application of blockchain technology in the electricity industry in the country?Method: This research has studied the relevant sources and collected information by descriptive-analytical methodFindings andConclusion: Using emerging technologies such as Blockchain, which uses a peer-to-peer trading method, in addition to activating consumers in the electricity market, the idea of creating an electricity market with the presence of consumers can be pursued. Transactions are now facilitated by third parties, suppliers, and system operators whose primary task is to collect and centralize information about cargo and the production and contracting of supply and distribution services. Instead, blockchain technology provides new ways to organize decentralized people without the immediate need for an intermediary. The use of this technology requires legislative policy in order to validate these technologies, legislative policy in order to implement emerging technologies and implementation policy in order to install and use these technologies by executive agencies. Manuscript profile

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