<abstract xmlns="http://www.w3.org/1999/xhtml">

Underfrequency load shedding is a common technique for maintaining the stability of the power system by removing the overload in a certain part of the system after a disturbance. The purpose of underfrequency load shedding is to balance output and load when a particular event causes a significant frequency drop in the power system. In conventional underfrequency load shedding schemes, the frequency thresholds of frequency relays are constant, this way it is difficult and sometimes impossible to control the frequency in various disturbances in the system. In this paper, an adaptive underfrequency load shedding (AUFLS) algorithm that is independent of communication between relays is presented. The relays are tuned to reduce loads taking into account local parameters such as voltage and frequency to prevent the occurrence of a cascade failure that can ultimately lead to the breakdown of the entire power system. In this paper, the rate of change of frequency (ROCOF) is obtained by applying the Hilbert-Huang transformation. Numerical simulations conducted on the New England 39 bus test system in the DIgSILENT PowerFactory and MATLAB software packages confirm the effectiveness of the proposed approach.
</abstract>

Adaptive Underfrequency Load Shedding And Voltage Stability In The Power System

<abstract xmlns="http://www.w3.org/1999/xhtml">

After the separation of the Continental Europe power system on 8th January 2021 in two synchronous zones, the electric power system of BiH (EPS BiH) shows a significant increase in frequency and voltages and oscillations of active and reactive power. The paper discusses the operation of protective devices in the BiH power system when the system was operating at high frequencies and voltages and had oscillations of active and reactive power. As a consequence of this behaviour in the EPS BiH there was activation of distance protections (DP) in substation (SS) 220/110 kV Prijedor 2 and overhead transmission lines (OHL) 220 kV Prijedor 2 - Međurić and OHL 220 kV Prijedor 2 – Sisak were disconnected. This was followed by activation of generator protections (reverse power protection and under-excitation protection) and outages of generator units in Hydro Power Plant (HPP) Salakovac, Thermal Power Plant (TPP) Kakanj, HPP Mostar, HPP Bočac, HPP Peć Mlini and HPP Jajce 2.
</abstract>

Impact of the Separation of the Continental Europe Power System on January 8, 2021 on the Work of the Bosnia and Herzegovina Power System

<abstract xmlns="http://www.w3.org/1999/xhtml">

Considering that the need for electricity is constantly increasing, a crucial problem is the lack of new power facilities. Likewise, due to the large expansion of existing consumption, one of the primary tasks is the reconstruction of existing facilities. Due to their complexity, such problems cannot be solved unplanned, but the development of adequate system solutions must be planned. The biggest problem in finding such solutions is matching both companies and consumers needs. The best way to do this is to develop mathematical models that can meet the already mentioned needs. The development of such models is not a simple task, considering that the final solution is influenced by a number of factors, many of which have a random nature. Therefore, the use of stochastic optimization methods is imposed as a realistic basis for the development of such models, as it is the case in the model presented in this paper. Considering that voltage unbalance is one of the mentioned influential factors, this paper will give the answer to the question whether it has a significant impact on the final solution of the developed model.
</abstract>

Influence of Voltage Unbalance on the Solution of One Planning Model of Low-Voltage Distribution Networks

<abstract xmlns="http://www.w3.org/1999/xhtml">

Artificial intelligence (AI) and Deep learning (DL) methods in power systems are being tested and prepared for practical use in many applications. In this work an artificial neural network models for fault identification and classification and switching logic control in middle voltage (MV) power electricity network is presented. Models are implemented in Google’s Python based tool Tensorflow with belonging program libraries. For fault detection and classification example a few thousand simulations are conducted in order to obtain enough fault current and voltage samples for high accuracy artificial neural network (ANN) with backpropagation model. Achieved accuracy and speed of presented deep learning model, open a possibility for application in digital relay protection devices. Second example is implementation of switching control rules in HV/MV substations. Presented models are patterns for power system controlling centres as part of broader controlling and protection logic.
</abstract>

Power System Control and Protection Models Based on Artificial Intelligence – A Tensorflow Approach

<abstract xmlns="http://www.w3.org/1999/xhtml">

Settlement of unintended deviation between scheduled and realized energy exchange among LFC (Load Frequency Control) areas used to be conducted through the energy compensation programs, where energy deviation from period of registration is compensated at a later stage period of compensation of unintended deviation. With the adoption of the Synchronous Area Framework Agreement (SAFA), the Regional Group for Continental Europe the methodology of accounting and financial settlement of unintended deviations FSKAR (Financial settlement <italic>kΔf</italic>, ACE and ramping period) is defined. The FSKAR methodology defines necessary data for the calculation and determination of unintended deviation. The methodology defines the method of determining settlement prices. The paper describes the methodology of determining settlement prices, the method of data collection and validation, the method of calculation of deviations and other energy and financial quantities, and data exchange between entities.
</abstract>

Introduction of Financial Settlement Among LFC Areas

AHEAD OF PRINT

Volume 17 (2023): Issue 2 (December 2023)

Volume 17 (2023): Issue 1 (July 2023)

Volume 17 (2023): Issue s1 (December 2023)

Volume 16 (2022): Issue s1 (December 2022) Advanced materials for engineering applications

Volume 16 (2022): Issue 2 (December 2022)

Volume 16 (2022): Issue 1 (July 2022)

Volume 15 (2021): Issue 2 (December 2021)

Volume 15 (2021): Issue 1 (October 2021) Research trends in interrupting and switching in HV and MV switchgear

Volume 14 (2020): Issue 2 (December 2020)

Volume 14 (2020): Issue s1 (October 2020) Special Issue: Computational, Numerical and Mathematical Methods in Electrical Engineering

Volume 13 (2019): Issue 1 (December 2019)

B&H Electrical Engineering

B&amp;H Electrical Engineering (ISSN: 2566-3143, e-ISSN: 2566-3151) is an international, double blind peer reviewed, non-commercial, open access journal.   The Committee for Bosnia and Herzegovina International Council on Large Electric Systems – CIGRE is the journal publisher.   The aim of the Journal is to publish high-quality papers in a wide area of electrical engineering, computer sciences and information technology.   However, papers in the field of technology, ecology, energy efficiency, industry applications, economy, management and other engineering and social science fields will also be published if they are associated with the field of electrical engineering, computer science and information technology.   Examples of relevant areas can be (but are not limited to):    Power engineering  Automation  Electronics  Robotics  Telecomunications  Signal procesing  Mechatronics  Applied Artificial Inteligence  Energy Engineering  Materials in Electrical Engineering  Applied Mathematics  Biomedical Engineering  Database and Data mining  IT security and Criptology  Data Processing  Buissness Informatics   Type of papers   In addition to original and review scientific papers, the Journal will also consider professional and conference papers.   Language   The Journal accepts only English-language papers.  Publication Fee  No fee is charged from authors for papers accepted for publishing.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 