Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969270
S. Loskutov, V. Miroshnyk, I. Blinov
The paper presents a comparative analysis of three common methods of forecasting time series for short-term forecasting of the generation of photovoltaic power plants with different horizons. The models were built using real data of the photovoltaic power plant and the local meteorological station. Meteorological data include solar irradiation, ambient temperature, humidity, wind speed and cloud cover. The results of the forecast of gradient boosting, elastic regression and multilayer perceptron for horizons 1 and 24 hours were compared. Sensitivity to input factors was investigated using SHAP value.
{"title":"Comparison of widely-used models for multifactoral short-term photovoltaic generation forecast","authors":"S. Loskutov, V. Miroshnyk, I. Blinov","doi":"10.1109/ESS57819.2022.9969270","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969270","url":null,"abstract":"The paper presents a comparative analysis of three common methods of forecasting time series for short-term forecasting of the generation of photovoltaic power plants with different horizons. The models were built using real data of the photovoltaic power plant and the local meteorological station. Meteorological data include solar irradiation, ambient temperature, humidity, wind speed and cloud cover. The results of the forecast of gradient boosting, elastic regression and multilayer perceptron for horizons 1 and 24 hours were compared. Sensitivity to input factors was investigated using SHAP value.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122822003","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969298
Y. Varetsky
This paper presents a study on photovoltaic reactive power impact on energy loss and voltage profiles in the medium-voltage distribution grid. The concern of contradiction in the requirements of reducing load energy loss and mitigating voltage fluctuations by photovoltaic reactive power injection in the grid is also considered. An algorithm based on actual profiles of grid load and photovoltaic output has been developed to simulate the grid operating conditions. The studies have shown that the choice of an adequate photovoltaic inverter control method should be carried out by correctly analyzing the photovoltaic impact on the voltage fluctuations and energy loss in the grid.
{"title":"PV Reactive Power Impact on MV Distribution Grid Operating Conditions - Case Study","authors":"Y. Varetsky","doi":"10.1109/ESS57819.2022.9969298","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969298","url":null,"abstract":"This paper presents a study on photovoltaic reactive power impact on energy loss and voltage profiles in the medium-voltage distribution grid. The concern of contradiction in the requirements of reducing load energy loss and mitigating voltage fluctuations by photovoltaic reactive power injection in the grid is also considered. An algorithm based on actual profiles of grid load and photovoltaic output has been developed to simulate the grid operating conditions. The studies have shown that the choice of an adequate photovoltaic inverter control method should be carried out by correctly analyzing the photovoltaic impact on the voltage fluctuations and energy loss in the grid.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122763586","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969285
B. Basok, B. Davydenko, O. Lysenko, S. Goncharuk, Y. Veremiichuk, M. Moroz
the paper presents the results of calculating the thermal state of the room in the intermittent regime of its heating. On the basis of the thermophysical model, the methods of effective management of the heat consumption of the building were investigated, experimental studies of the characteristics of the heat consumption of the building when using individual heat points were carried out, and the results of calculations based on the thermophysical model were compared with experimental data.
{"title":"Intelligent management of the building's heat consumption when using individual heat points","authors":"B. Basok, B. Davydenko, O. Lysenko, S. Goncharuk, Y. Veremiichuk, M. Moroz","doi":"10.1109/ESS57819.2022.9969285","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969285","url":null,"abstract":"the paper presents the results of calculating the thermal state of the room in the intermittent regime of its heating. On the basis of the thermophysical model, the methods of effective management of the heat consumption of the building were investigated, experimental studies of the characteristics of the heat consumption of the building when using individual heat points were carried out, and the results of calculations based on the thermophysical model were compared with experimental data.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126930912","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969307
Oleksii Bychkov, K. Merkulova, Y. Zhabska
This paper is devoted to the research of information technology of person identification with an aim of its improvement for further usage in energy smart systems. As far as face recognition technologies usually exploit high-dimensional information it makes the processes of face recognition and identification computationally intensive. The purpose of this research is to overcome this problem by facing the challenges of low-quality image recognition. Therefore, there were studied the following issues of low-quality image recognition: area of face region, image resolution variety and image compression variety due to the file format. The experimental research was performed in three stages with the use of the Database of Faces, FERET and SCface database.
{"title":"Improvement of Information Technology for Person Identification for Usage in Energy Smart Systems","authors":"Oleksii Bychkov, K. Merkulova, Y. Zhabska","doi":"10.1109/ESS57819.2022.9969307","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969307","url":null,"abstract":"This paper is devoted to the research of information technology of person identification with an aim of its improvement for further usage in energy smart systems. As far as face recognition technologies usually exploit high-dimensional information it makes the processes of face recognition and identification computationally intensive. The purpose of this research is to overcome this problem by facing the challenges of low-quality image recognition. Therefore, there were studied the following issues of low-quality image recognition: area of face region, image resolution variety and image compression variety due to the file format. The experimental research was performed in three stages with the use of the Database of Faces, FERET and SCface database.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127622663","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}
Pub Date : 2022-10-12DOI: 10.1109/ess57819.2022.9969265
{"title":"Section 2. Renewable Energy Systems and Distributed Generation","authors":"","doi":"10.1109/ess57819.2022.9969265","DOIUrl":"https://doi.org/10.1109/ess57819.2022.9969265","url":null,"abstract":"","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"27 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124428963","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969312
O. Shkurpela, D. Tugay, S. Korneliuk
The prospects for the development of small wind energy in Ukraine are considered. The advantages and main problems of the introduction of low power wind plants in rural areas and the urban environment are assessed. The main types of electrical machines that can be used for small wind energy tasks are considered. Their advantages and disadvantages are analyzed. It is shown that the use of synchronous reluctance machines is promising for low-power wind power plants. The advantages and disadvantages of this type of electric machines allow us to assert their prospects for low power renewable energy installations.
{"title":"Prospects of Implementation of a Synchronous Reluctance Machine in Low Power Wind Plants","authors":"O. Shkurpela, D. Tugay, S. Korneliuk","doi":"10.1109/ESS57819.2022.9969312","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969312","url":null,"abstract":"The prospects for the development of small wind energy in Ukraine are considered. The advantages and main problems of the introduction of low power wind plants in rural areas and the urban environment are assessed. The main types of electrical machines that can be used for small wind energy tasks are considered. Their advantages and disadvantages are analyzed. It is shown that the use of synchronous reluctance machines is promising for low-power wind power plants. The advantages and disadvantages of this type of electric machines allow us to assert their prospects for low power renewable energy installations.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132620797","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969282
Petro Legniuk, Volodvmvr Kulyk, Yuliia Malogulko, O. Burykin, Artur Sytnyk
A method for determining the share of power flows in the scheme branches from the load (or generation) of each individual node is developed. Determining the power flows in the branches of the electrical network from the generation of nodes corresponding to the nodes of renewable energy sources (RES) connection, makes it possible to estimate the coverage of electricity consumption of a given consumer from RES. This method can be a tool to confirm the guarantees of energy origin sold in the retail market.
{"title":"Method of estimating the share of electricity consumption of a given consumer, which is provided from renewable energy sources","authors":"Petro Legniuk, Volodvmvr Kulyk, Yuliia Malogulko, O. Burykin, Artur Sytnyk","doi":"10.1109/ESS57819.2022.9969282","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969282","url":null,"abstract":"A method for determining the share of power flows in the scheme branches from the load (or generation) of each individual node is developed. Determining the power flows in the branches of the electrical network from the generation of nodes corresponding to the nodes of renewable energy sources (RES) connection, makes it possible to estimate the coverage of electricity consumption of a given consumer from RES. This method can be a tool to confirm the guarantees of energy origin sold in the retail market.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132530649","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969271
S. Denysiuk, H. Bielokha, Marina Kolomiuchyk
Microgrid can also be presented as a set of distributed generation sources (DGS) of electricity that are set up close to consumers and intended for their electricity supply. The need for parallel operation of several generators arises for the following reasons: it is necessary to ensure increased power supply reliability. An algorithm, which calculates the optimal distribution of generator power to ensure the load power P, which corresponds to the minimum value of fuel consumption, was developed. The developed algorithm can be used for the following purposes evaluation and research of optimal energy generation; in control systems for power distribution between generators. On average, in the case of optimal distribution, the cost reduction is 5%.
{"title":"Optimization of Consumption of Primary Fuel in Local Electricity Systems Using Diesel Generators","authors":"S. Denysiuk, H. Bielokha, Marina Kolomiuchyk","doi":"10.1109/ESS57819.2022.9969271","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969271","url":null,"abstract":"Microgrid can also be presented as a set of distributed generation sources (DGS) of electricity that are set up close to consumers and intended for their electricity supply. The need for parallel operation of several generators arises for the following reasons: it is necessary to ensure increased power supply reliability. An algorithm, which calculates the optimal distribution of generator power to ensure the load power P, which corresponds to the minimum value of fuel consumption, was developed. The developed algorithm can be used for the following purposes evaluation and research of optimal energy generation; in control systems for power distribution between generators. On average, in the case of optimal distribution, the cost reduction is 5%.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585097","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969261
V. Nerubatskyi, O. Plakhtii, D. Hordiienko
The article presents a system of automatic control of the power active filter with an adaptive structure for selecting the frequency of power switches. Determination of the switching frequency is based on the frequency spectrum of the load current, the value of the cutoff frequency of the transistors and the magnitude of power losses in the power switches. The proposed control system, depending on the harmonic composition of the load current, allows to reduce the modulation frequency and, thus, to reduce its own power losses in the active power filter.
{"title":"Adaptive Modulation Frequency Selection System in Power Active Filter","authors":"V. Nerubatskyi, O. Plakhtii, D. Hordiienko","doi":"10.1109/ESS57819.2022.9969261","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969261","url":null,"abstract":"The article presents a system of automatic control of the power active filter with an adaptive structure for selecting the frequency of power switches. Determination of the switching frequency is based on the frequency spectrum of the load current, the value of the cutoff frequency of the transistors and the magnitude of power losses in the power switches. The proposed control system, depending on the harmonic composition of the load current, allows to reduce the modulation frequency and, thus, to reduce its own power losses in the active power filter.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"767 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131749661","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}
Pub Date : 2022-10-12DOI: 10.1109/ESS57819.2022.9969251
J. Monteiro, V. Pires, J. F. Silva, S. Pinto
This paper presents a predictive control system for the front-end Buck-Boost rectifier of an electric vehicle fitted with an integrated battery charger. The drive of this electric vehicle is based on a dual inverter connected to the open-windings induction motor. The rectifier of the integrated charger is based on the high-power factor AC-DC current source converter presenting Buck-Boost characteristics. This converter allows an easy integration in the electric vehicle charger, as well as zero average torque during the charging process. However, existing control systems for this front-end Buck-Boost rectifier are complex and hard to tune. To automate the rectifier vector selection, this paper proposes the use of a model predictive controller (MPC) to control the three-phase charger rectifier AC currents and the voltages capacitors of the dual inverter. Several simulation tests of the AC currents MPC controlled show nearly sinusoidal input currents and near unity power factor operation.
{"title":"A Model Predictive Controller for a Buck-Boost Rectifier of an Electric Vehicle Integrated Battery Charger with a Dual-Inverter Drive","authors":"J. Monteiro, V. Pires, J. F. Silva, S. Pinto","doi":"10.1109/ESS57819.2022.9969251","DOIUrl":"https://doi.org/10.1109/ESS57819.2022.9969251","url":null,"abstract":"This paper presents a predictive control system for the front-end Buck-Boost rectifier of an electric vehicle fitted with an integrated battery charger. The drive of this electric vehicle is based on a dual inverter connected to the open-windings induction motor. The rectifier of the integrated charger is based on the high-power factor AC-DC current source converter presenting Buck-Boost characteristics. This converter allows an easy integration in the electric vehicle charger, as well as zero average torque during the charging process. However, existing control systems for this front-end Buck-Boost rectifier are complex and hard to tune. To automate the rectifier vector selection, this paper proposes the use of a model predictive controller (MPC) to control the three-phase charger rectifier AC currents and the voltages capacitors of the dual inverter. Several simulation tests of the AC currents MPC controlled show nearly sinusoidal input currents and near unity power factor operation.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003977","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}
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