{"title":"Analiza uticaja ispada proizvodnih jedinica u TENT A i B na gubitke u prenosnom sistemu Srbije","authors":"Kovica Bibić, I. Stamenić, Tomislav Rajić","doi":"10.46793/eee22-4.75b","DOIUrl":"https://doi.org/10.46793/eee22-4.75b","url":null,"abstract":"This paper analyses the impact of outages of large generating units in the electric power system of Serbia. In December 2021, there was an outage of the largest thermal capacities - thermal power plants Nikola Tesla A and B. At the same time, the wind generators did not produce much power, due to unfavourable weather conditions, i.e. low wind speed. At the same time, the total installed capacity of wind power plants in Serbia is not large. In order to compensate for the deficiencies, it was necessary to import electricity. All of the above had the effect of changing the power flows in the branches of the electric power network. Importing electricity significantly increases the distance between the source of electricity and the consumption. This leads to the conclusion that there will be a change in the total losses of electrical energy in the system. The paper analyses how much the losses would be in the power system if the Nikola Tesla thermal power plants A and B were in operation and what the losses would be if the wind farms were working at full capacity.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134483286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Security of Supply as a Major Part of the Energy Security Puzzle","authors":"Aleksandar Madžarević, M. Crnogorac","doi":"10.46793/eee22-4.28m","DOIUrl":"https://doi.org/10.46793/eee22-4.28m","url":null,"abstract":"The security of natural gas supply of the Republic of Serbia has been treated as an urgent, strategic, political and security issue for the last two decades. In the natural gas sector, the Republic of Serbia is very dependent on gas imported from Russia. Security of supply indicators are one of the basic elements for determining energy security and powerful tools for guiding the energy sector towards sustainable development. The methodological analysis presented in the paper was concentrated on security of supply indicators in the field of energy security related to the natural gas sector in the Republic of Serbia.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134036133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimalno planiranje balansne rezerve za pokrivanje debalansa u proizvodnji vetroelektrana u Južnom Banatu","authors":"Milica Radovanović, Željko Đurišić","doi":"10.46793/eee22-4.38r","DOIUrl":"https://doi.org/10.46793/eee22-4.38r","url":null,"abstract":"- Balancing of variable renewable energy sources is one of the main problems of integrating renewable energy sources into the power electricity system. This paper performs a statistical analysis of the dependence of the error in the prediction of wind farm production in the region of southern Banat, on the forecasted power. The main contribution of the paper is the proposal of the methodology for the calculation of the required balance reserve in the electric power system of Serbia for day ahead for the existing condition of the installed wind power plants that are connected to the transmission network. All stakeholders have practical significance and benefit from the proposed methodology, the wind farm owner who can plan the necessary lease of balancing capacities, the transmission system operator who can plan uncertainties in wind farm production and the balancing responsible party that should plan balancing capacities.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Procena mesta nastanka kvara na električnom vodu primenom veštačkih neuralnih mreža","authors":"Milorad Zakić, G. Kvascev","doi":"10.46793/eee22-4.68z","DOIUrl":"https://doi.org/10.46793/eee22-4.68z","url":null,"abstract":"This paper deals with the application of neural networks to fault location on extra-high voltage (EHV) transmission lines. A relatively simple power system, consisting of two 220 kV power grids connected with one transmission line, has been modelled using MATLAB/Simulink software. Simulating different fault scenarios (fault types, locations, resistances, and inception angles), the proposed neural network fault locator was trained using various sets of terminal line data (line-to-line voltages and phase currents). Feedforward networks have been employed along with the backpropagation algorithm. An analysis of the neural networks with a varying number of hidden layers and neurons per hidden layer has been performed in order to validate the choice of the neural networks in each step. All analyses were carried out using Neural Network Toolbox.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133098733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Razvoj metodologije za utvrđivanje optimalne snage fotonaponske elektrane postavljene na nagnutom terenu","authors":"Vladan Durković, Željko Đurišić","doi":"10.46793/eee22-4.47d","DOIUrl":"https://doi.org/10.46793/eee22-4.47d","url":null,"abstract":"Models for the calculation of the production of large photovoltaic (PV) power plants with different types of modules (monofacial or bifacial) have been developed in detail in the literature. In addition, detailed models have been developed for PV power plants that have fixed modules as well as PV power plants with tracking the azimuth angle of the Sun and/or the tilt angle of the PV module. On the other hand, due to the increasing installation of PV power plant, their construction is often imposed on the field with complex geometry, so it is interesting to develop models that can optimize the spatial layout and geometric elements of panels on sloping surface in relation on horizontal. Namely, during various analyses in the literature, production models for PV power plants that are planned on sloping terrains have not been developed. Accordingly, in this paper, a procedure was developed for the calculation of the production of PV power plants that are placed on terrain that is not flat, but oriented towards the arbitrary side of the World and with an arbitrary tilt angle.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116403291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimalno pozicioniranje sinhrofazorskih jedinica primenom genetičkog algoritma","authors":"Katarina Obradović, Goran Dobrić","doi":"10.46793/eee22-4.22o","DOIUrl":"https://doi.org/10.46793/eee22-4.22o","url":null,"abstract":"Energy transition implies a larger share of the intermittent renewable energy sources connected to the power grid. These utilities can change their production within a short period of time, thus, significantly affecting the voltage conditions and load flows in the grid. This adds to the complexity in achieving required reliability and stability of the system. Proper and timely insight into the grid parameters plays an important role in regulation of such power system. Implementation of Phasor Measurement Units (PMUs) provides information about electrical parameters of the grid with as much as microsecond precision. Therefore, possible occurring dynamical processes could also be observed and regulated in a proper manner. Considering PMU can give information regarding voltage phasor as well as currents of adjacent branches, the observability of the system can be achieved even if some nodes are not equipped with their own PMU. Furthermore, installation of PMU in every node is not economical solution considering the size of the power grid and the number of PMUs accordingly. One should assess the sufficient number of PMUs cautiously and locate them carefully in order to maintain observability, but also to reduce expenses as much as possible. In the grid topology with a vast number of nodes and branches, the usage of metaheuristic optimization algorithms with adequate criteria function and limiting conditions could reduce the computing time compared to the linear and non-linear programming algorithms. In addition, the quality of such solution is also preserved. In this paper, the usage of genetic algorithm is proposed in order to determine the number and position of PMUs for several different grid samples.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125285985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rekonfiguracija distributivne mreže i otočna kompenzacija uz prisustvo vetro generatora","authors":"Branko Stojanović, Tomislav Rajić, Darko Šošić","doi":"10.46793/eee21-4.45s","DOIUrl":"https://doi.org/10.46793/eee21-4.45s","url":null,"abstract":"In this paper, the distribution network reconfiguration with simultaneous capacitor switching, in the presence of wind generators, by Simulated Annealing (SA) is presented. Analysed test network has 69 nodes including the slack one and 73 branches, all of which can commutate. Following assumptions are made: load in nodes is changed according to Gauss distribution and wind generator power with Weibull one, every hour, then there are two wind generators of 200 kW maximum power each (10% of total, nominal active power load) and they can be allocated to any node but the slack one. The same is valid for the capacitor banks regarding allocation. This switching logic is unrealistic. On its basis more realistic one was issued with fixed nodes for allocation of wind generators and capacitor banks (the most frequently visited nodes), by Monte Carlo graphical method. Input power factor is to be greater than 0.85 which is not fulfilled with commencing configuration (from the start) so that allocation of capacitor banks is mandatory. Another constraint is that the network should not be overcompensated. Four realistic scenarios are investigated. In the first one only network with wind generators is analysed and the rest are dedicated to all possible combinations of the regulation. The programme is automated indicating the price of configuration, generated banks, input data (active and reactive load, power and location of wind generators) and savings which change on an hourly basis. The wind generators are uniformly distributed in accordance to nodes (for the less realistic scenario) and generate only active power complying with Weibull distribution. The graphical results are presented for a 1000-hour operation (operation in one thousand hours, every hour different) and the analysis is done for a thousand-hour work. The presented method shows that considerable savings can be achieved by simultaneous application of reconfiguration method and capacitor switching with already allocated wind generators.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125248066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analiza kvaliteta električne energije na satnom nivou kod priključenja elektrana na obnovljive izvore energije","authors":"Miroslav Žerajić, Milan Stojanović","doi":"10.46793/eee22-4.80z","DOIUrl":"https://doi.org/10.46793/eee22-4.80z","url":null,"abstract":"Analyses necessary for the new power plant connection contain the following power quality analyses carriedout using the simulation model: Estimation of the emission level of the voltage waveform asymmetry at the point of connection, estimation of the high harmonic components at the connection point and estimation of the emission level of long-term and shortterm flicker. Limits for the previously mentioned parameters have been defined in the National Grid Code (at the national level) or in the international standards. According to the international standards, the limit is considered violated if the duration of the parameter value violation exceeds 5% of the monitored period. Conventional approach of power quality analysis through software tool assumes only analysis for the most critical regime: when the short-circuit power at the point of connection is the lowest and the new power plant produces maximum active power. Based on this approach mitigation measures for improving power quality supply are sometimes suggested to the plant investor. In should be noted that Renewable Energy Sources (RES) do not have maximum output power during the whole year, and consequently, power quality deterioration is much less than in the critical regime observed in the simulations. For power quality simulation purposes, technical sheets of the equipment contain high harmonic levels for the full operation range are used from which usually the worst (highest) harmonic injections are considered for modelling RES as a harmonic source. In this paper, the results of power quality analyses for the RES connection using hourly resolution data for the one-year period based on DPL (DIgSILENT Programming Language) in DIgSILENT PowerFactory software package will be presented. This approach gives the duration of the limit violation, and consequently, more reliable results in comparison with the results of the conventional approach.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114220867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analiza rada solarne elektrane u NTP Čačak – System Advisor Model (SAM) modelovanje i poređenje sa stvarnim rezultatima","authors":"S. Dragićević, V. Vujičić, M. Marjanović","doi":"10.46793/eee22-4.52d","DOIUrl":"https://doi.org/10.46793/eee22-4.52d","url":null,"abstract":"In the 21st century, the use of renewable resources has been propagated by the specter of climate change and its associated impact. Renewable energy technologies have been deployed at a high rate and show a significant potential to become a major player in the electricity supply in next decade. PV systems have experienced a significant growth in their rate of deployment as an alternative to conventional power sources. This study presents the modeling and simulation of a 25 kWp solar power plant in Čačak, Serbia. The power plant is situated on the roof of the Science and Technology Park Čačak. The model was developed using System Advisor Model (SAM) software. SAM was used to analyze the technical performances of based on local weather conditions and all the system components of installed photovoltaic system. The model was validated by comparing its predictions with the actual plant data. The proposed predictive model can be used to characterize power plant performance as well as analyze and evaluate the system's efficiency.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122731338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Long Term Planning of Macedonian Electricity Supply","authors":"A. Chaushevski, Sofija Nikolova-Poceva","doi":"10.46793/eee22-4.85c","DOIUrl":"https://doi.org/10.46793/eee22-4.85c","url":null,"abstract":"In the paper alternatives for expansion of the Macedonian electricity supply system are presented. MESSAGE tool is used for modelling the system, for developing the scenarios, to analyse cost optimal energy pathways and to determine the optimal electricity generation technology mix. The calculations for the period 2020-2050 are made in a 5-year interval. Two scenarios are developed: Scenario 1 – BAU (Business as Usual) scenario, where the current energy structure prevailed, with trends like the current development. The electricity demand is satisfied by coal-fired thermal power plants, gas-fired thermal power plants, hydro power plants and renewable power plants. Scenario 2 – Green scenario, where gas-fired thermal power plants and nuclear power representative with small modular reactors are base load technologies, and also intensive construction of production capacities on renewable energy sources is forced. By making further analysis, the possibility of flexibility in the construction of new facilities within the interval, economic indicators, and appropriate impact on the environment are obtained. In order to make an economic analysis for a particular technology, calculations are made for parameters that are standard for projects, such as: net present value, benefit – cost ratio, payback period and internal rate of return. The environmental impact is analysed of aspect of CO2 emissions.","PeriodicalId":236996,"journal":{"name":"Energija, ekonomija, ekologija","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}