List of Articles Distribution networks

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  1 - Mega Data Distribution Technology and Decision Support Systems
  Sh. Gilaninia
  Decision support systems using data results are not widespread. Planning is established with full consciousness, and decisions are not taken under the terms of uncertainty, which leads to a lot of damage. Considering that, in many cases, there is a signif More

  Decision support systems using data results are not widespread. Planning is established with full consciousness, and decisions are not taken under the terms of uncertainty, which leads to a lot of damage. Considering that, in many cases, there is a significant cost associated with collecting data to create a decision support system. Thus, there is a need for new methods that can provide information system requirements. In this regard, scientists have been able to use distribution techniques such as mega learning stage modeling. This technique two uses learning tools that include reverse distribution network and network. Using the recommended techniques and experiences can provide a very limited accurate forecast increase. Manuscript profile
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  2 - Market-based Method for Reconfiguration of Distribution Networks Using Mine Blast Algorithm (MBA)
  Sajjad Niroomand Alireza Bakhshinejad Mehdi Tabasi
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  3 - Optimizing Energy and Ancillary Services Markets in Transmission and Distribution Networks Through a Two-Stage Optimal Framework Considering Flexible Loads, Electric Vehicles, and Storage Systems
  Azadeh Arezooye Araghi Amir Ahmarinejad Mohsen Alizadeh Mojtaba Babaei
  10.30486/teeges.2023.1986699.1074
  In this article, a comprehensive two-stage framework for conducting competitive energy and ancillary services markets in transmission and distribution networks is presented. In the first and second stages of the proposed framework, energy and ancillary services markets More

  In this article, a comprehensive two-stage framework for conducting competitive energy and ancillary services markets in transmission and distribution networks is presented. In the first and second stages of the proposed framework, energy and ancillary services markets are held, respectively. In the proposed framework, the suppliers of spinning reserve market capacities are conventional thermal units, while the suppliers of regulation market capacities are fast response generators, energy storage systems, electric vehicles, and demand response aggregators. A linear AC power flow program is included in the proposed framework to verify the applicability of the simulation results in real operating conditions. The introduced framework is modeled as a linear optimization problem in which the objective function of each stage is solved separately. This framework is implemented on a test system that includes a 30-bus transmission network connected to four 8-bus distribution networks, and the CPLEX solver in GAMS software is used to simulate it. The simulation outputs clearly confirm that the participation of resources within the distribution networks in providing spinning reserve capacities significantly reduces the share of expensive thermal units in the market and thereby lowers the daily costs of the system. Moreover, the simulation outputs indicate that the participation of demand response aggregators, energy storage systems and electric vehicles in providing regulation market capacities, not only lowers the costs of this market but also significantly improves technical indicators such as voltage characteristics. Manuscript profile
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  4 - Portable Energy Storage Systems Expansion Planning to Improve the Power Systems Resilience
  Mohammad Reza Sheibani Mehdi Zeraati Farkhondeh Jabbari Ehsan Heydarian-Forushani
  10.30486/teeges.2023.1997267.1097
  Providing electricity to critical electrical loads in all conditions is one of the important goals facing designers and operators of power systems. On the other hand, power systems are always exposed to various events and disasters. The ability to face these events and More

  Providing electricity to critical electrical loads in all conditions is one of the important goals facing designers and operators of power systems. On the other hand, power systems are always exposed to various events and disasters. The ability to face these events and disasters in power systems is brought up with the concept of resilience. In this article, improving the resilience of distribution networks is pursued. For this purpose, the expansion of fixed and portable energy storage systems in distribution networks has been carried out to keep distribution networks resilience. Due to the importance of providing the critical loads, meeting the critical loads is considered as the main resilience criterion. The proposed model is formulated as a mixed integer linear optimization problem. Minimization of costs is considered as the objective function and fulfillment of restrictions in normal and resilience conditions of the network are considered as the constraints of the problem. In this model, the distribution network is divided into several separate zones and the fulfillment of critical loads in the zones is followed by the available resources and energy storage systems. The results of studies on the test network show the ability of portable energy storage systems to meet the requirements of network resilience. Manuscript profile
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  5 - A tri-level optimization model for utilizing the potential of IoT-based subscribers and electric vehicles in energy and ancillary services markets
  Leyla Karami Amir Ahmarinejad Mahmood Hosseini Aliabadi Arash Dana
  10.30486/teeges.2023.1990126.1079
  This paper presents a tri-level model for the simultaneous management of energy and ancillary services markets between transmission and distribution networks integrated with renewable energy sources, smart homes based on the Internet of Things, and electric vehicles. In More

  This paper presents a tri-level model for the simultaneous management of energy and ancillary services markets between transmission and distribution networks integrated with renewable energy sources, smart homes based on the Internet of Things, and electric vehicles. In the first level of the proposed model, smart homes plan their participation in the energy and regulation markets and send it to the distribution network operator. In the second level, the operators of the distribution networks plan their area according to the programs received from the smart homes and determine their strategy for participation in the energy, reservation and adjustment markets. In the third level, the strategy of distribution networks is sent to the operator of the transmission system so that the final planning of the energy, reservation and adjustment markets can be done according to them. The proposed model is formulated as a mixed integer linear programming problem and solved by GUROBI solver in GAMS. The implementation of the proposed model showed that this model was able to significantly use the potential of subscribers based on the Internet of Things, electric vehicles, storage systems and demand response programs to improve the technical aspects of transmission and distribution networks as well as to improve the economic aspects of energy markets and ancillary services. Manuscript profile
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  6 - A Multi-Objective Optimization Model Based on Genetic Algorithm for Voltage Management of Radial Distribution Networks in Tropical Areas of South of Iran Using a Combination of Fixed Capacitors and Voltage Regulators
  Ali Askarizadeh Elaheh Mashhour Mohsen Saniei
  This paper presents a multi-objective optimization model for optimal placement of fixed capacitors and voltage regulators to manage the voltage profile of radial distribution networks, in which the realities of the distribution network of Ahvaz city (as representing the More

  This paper presents a multi-objective optimization model for optimal placement of fixed capacitors and voltage regulators to manage the voltage profile of radial distribution networks, in which the realities of the distribution network of Ahvaz city (as representing the tropical regions of southern Iran) are considered. The objective functions include minimizing the investment cost, minimizing the sum of absolute value of the node’s voltage deviations from 1 p.u., and minimizing the cost of energy losses on the planning horizon. The optimization model is formulated by considering two different load patterns according to the warm and temperate periods of the year in Ahvaz city. The loads are modeled as a combination of constant power and constant impedance components and the share of each component in the warm and temperate periods of the year is considered in accordance with the actual conditions of the Ahwaz power distribution network. The cost of energy losses as well as the final profit of the project is calculated based on the current rules of Iranian power market for active and reactive powers. The optimization problem is solved using multi-objective non-dominated-sorting genetic algorithm-II (NSGA_II), and in order to choose the best answer among none-dominated Pareto front, a selection index is introduced. The proposed model is implemented on two 33 kV test feeders (i.e., a 33-bus test feeder and a real 123-bus feeder from Ahvaz distribution company) and the results are analyzed.  Manuscript profile
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  7 - The evaluation of effective risk management criteria in the of natural gas distribution network projects implementation with fuzzy SWARA and fuzzy best- the worst method approach
  Ammar Rostami Najafabadi Mehrdad Nikbakht Atefeh Amindoust Mehdi Karbasian
  Gas distribution networks are considered essential. Therefore, considering the importance of the implementation of such projects and the challenges raised in this field, the present study tries to evaluate the key criteria of risk management in the implementation of net More

  Gas distribution networks are considered essential. Therefore, considering the importance of the implementation of such projects and the challenges raised in this field, the present study tries to evaluate the key criteria of risk management in the implementation of network projects by comparing two fuzzy multi-indicator decision-making techniques. Pay for the distribution of natural gas. For this purpose, by selecting a number of 36 experts and experts in the field of natural gas industry, using a researcher-made questionnaire, Lawshe method and multi-indicator decision- making techniques based on fuzzy SWARA and fuzzy best- the worst method were used. The obtained results indicate that, out of 32 risk management criteria, 17 criteria were identified as key risk management criteria. Also, based on the results, it is concluded is consistent that the final and definitive weight of the criterion of inadequacy or lack of technical information for design in carrying out the fuzzy best- the worst method multi-indicator decision-making technique with the second rank of the final and definitive weight obtained in the fuzzy SWARA multi-indicator decision-making technique and has been evaluated with the highest importance and the final and definitive weight of the criterion of the inappropriate evaluation process and the selection of suppliers and contractors in two multi-indicator decision- making techniques has been evaluated with the least importance. They share meaning with each other. Manuscript profile
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  8 - Improve Replica Placement in Content Distribution Networks with Hybrid Technique
  Davood Mokhlesi Ghanevati Ehsan Khorami Behzad Boukani Mohammad Trik
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  9 - Optimal Location of Surge Arresters in Distribution Network Considering Reliability and Technical and Economic Factors to Reduce Costs using ICA Algorithm
  Mehrdad Ahmadi Kamarposhti AbasAli Hejri
  10.30495/ijsee.2021.681962
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  10 - Flexible Scheduling of Active Distribution Networks for Market Participation with Considering DGs Availability
  Milad Hoseinpour M.-R Haghifam
  IJSEE-1705-1050
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  11 - Analysis and Comparison of Load Flow Methods for Distribution Networks Considering Distributed Generation
  M Sedghi M Aliakbar-Golkar
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  12 - Application of Big Data Analytics in Power Distribution Network
  Foroogh Sedighi Mohammadreza Jabbarpour Sheyda Seyedfarshi
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  13 - High Impedance Fault Detection in Distribution Systems Using a Method Based on Similarity Measurement
  Ammar Abduladheem Ahmed Dibes Mohammad Mahdi Rezaei
  10.30486/TEEGES.2025.1103680
  The electric arc is one of the most intense electrical events. This phenomenon occurs due to the electric discharge between two conductors or between a conductor and the ground, through the air. When the short-circuit current intensity is high, it can be easily detected More

  The electric arc is one of the most intense electrical events. This phenomenon occurs due to the electric discharge between two conductors or between a conductor and the ground, through the air. When the short-circuit current intensity is high, it can be easily detected by traditional protection equipment. However, when the short-circuit current is low, traditional protection methods cannot detect these faults. Faults that do not generate enough fault current to be detected by conventional protective equipment are called high-impedance faults (HIFs). HIFs can cause serious safety hazards in power distribution systems and damage to equipment due to the risk of arc ignition. This paper presents a new detection scheme for HIFs in electrical distribution systems based on similarity measurement. In this method, based on the waveform of two consecutive half-cycles of the current, an index is extracted that can be used to detect HIFs. The proposed HIF detection algorithm can distinguish these events from other non-fault events with waveforms that may be similar to HIF waveforms. In this paper, four case studies are simulated to verify the proposed HIF detection algorithm. The simulation results demonstrate the acceptable performance of the proposed method in detecting HIFs and distinguishing them from other events. Manuscript profile