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Open Access Article

1 - 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

Open Access Article

2 - A Review on Fault Detection and Diagnosis Methods in Distribution Power Networks
Milad Samady Shadlu

Fault detection and diagnosis algorithms are the methods whose function is determining the fault point in a system according to pre-faulting and post-faulting conditions, and fault detector is a part of system which performs this function. Accordingly, the aspects like More

Fault detection and diagnosis algorithms are the methods whose function is determining the fault point in a system according to pre-faulting and post-faulting conditions, and fault detector is a part of system which performs this function. Accordingly, the aspects like fault detection and diagnosis and faulted point isolation have been introduced. Until now many researches have focused on fault detection methods in different parts of power system such as transformers, converters, overhead lines, underground cables, feeders, breakers, protection relays, generators, turbines, etc. , which every one of them has proposed a new and effective method in supplementing of previous works. In this paper, a comprehensive study is done on fault detection and diagnosis in distribution power systems. Also, categorizing and also methodology of previous works in literature is addressed. Fault detection and diagnosis algorithms are divided based on two viewpoints and characteristics and features of each one are described completely. Manuscript profile

Open Access Article

3 - Reactive Power Management in Low Voltage Distribution Networks Using Capability and Oversizing of PV Smart Inverters
Saeed Souri Hosein Mohammadnezhad Shourkaei Soudabeh Soleimani Seyed Babak Mozafari

Since integration of solar photovoltaic (PV) sources into the power grid is increasing rapidly in recent years, the capability of photovoltaic source inverters can be an opportunity to improve the technical and economic indicators via reactive power management in low vo More

Since integration of solar photovoltaic (PV) sources into the power grid is increasing rapidly in recent years, the capability of photovoltaic source inverters can be an opportunity to improve the technical and economic indicators via reactive power management in low voltage distribution networks grids. This work proposes an optimal planning model to improve the voltage deviation index and increase the revenue sale electricity with the capability of PV inverters and fixed capacitors. In this regard, the optimal capacity of the PV inverter is determined simultaneously with the location and number of fixed capacitors to minimize investment (for PV inverter, fixed capacitor, operating cost) and maximize electricity sales revenue. For this purpose, an innovative model is presented that is able to calculate the annual technical-economic evaluation. To make the costs for investment, operation and maintenance of compensating devices more realistic, the lifespan and additional cost of inverter oversizing in the objective function are modelled. In this article, load flow equations along with technical constraints are integrated into a mixed-integer second-order conic programming model. Two real grids were simulated using MATLAB software in order to show the effectiveness of the proposed model. The comparison of the proposed RPM method with conventional methods confirmed considerable reduction of investment and energy losses in the low voltage distribution networks grids. Manuscript profile

Open Access Article

4 - 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

Open Access Article

5 - Joint NetWork Reconfiguration and Capacitor Placement by Bactrial Foraging Algorithm
Mohammad Ali Mohammadnia Ali Akbar Gharaveisi

Power system engineers are forced to place more emphasis on reducing losses at the distribution level. From an economic perspective, Joint network reconfiguration and capacitor placement is one of the best ways to save energy. Application of heuristic technique is unavo More

Power system engineers are forced to place more emphasis on reducing losses at the distribution level. From an economic perspective, Joint network reconfiguration and capacitor placement is one of the best ways to save energy. Application of heuristic technique is unavoidable, because of expansion of distribution networks and becoming more complex connections in these grids. In view of this, for the first this paper investigates the ability of Bacterial Foraging Algorithm (BFA) for Joint network reconfiguration and capacitor placement. Manuscript profile

Open Access Article

6 - ACO Algorithm Implementation in Radial Distributed Network Planning
Reza Roshanfekr Mojtaba Dostfateme Hadi Sadoghi Yazdi

This paper presents a new approach for radial distributed network planning with using ACO algorithm. Ant colony optimization algorithm (ACO) is one of the best methods for optimization in difficult discrete problems. The new algorithm determines the optimal configuratio More

This paper presents a new approach for radial distributed network planning with using ACO algorithm. Ant colony optimization algorithm (ACO) is one of the best methods for optimization in difficult discrete problems. The new algorithm determines the optimal configuration of network and voltage level of each section of the feeders and calculates the optimum rating of the transformers and the size of each section of the feeders. This algorithm applied to a real 23-feeder radial test network of Gilan Regional Electricity Company inIran. The results validate the superiority of new algorithm in comparison with particle swarm optimization (PSO) and supplying area algorithm. The important characteristics of this algorithm in this paper are its high speed in solving problems for instance 240 times of supplying area algorithm time and 18 times of PSO algorithm time and 10% decreasing of final cost because of considering the transformers rating as an another searching space variable. Manuscript profile

Open Access Article

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

Open Access Article

8 - High Impedance Fault Detection in Distribution Systems Using a Method Based on Similarity Measurement
Ammar Abduladheem Ahmed Dibes Mohammad Mahdi Rezaei

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

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