Farimah Behzadi, M. Zadeh, Alireza Freidunian, Seyed Mohammad Taghi Bathaee
{"title":"Modelling and simulation of a fuel cell unit connected via power electronic interface","authors":"Farimah Behzadi, M. Zadeh, Alireza Freidunian, Seyed Mohammad Taghi Bathaee","doi":"10.1109/epdc56235.2022.9817364","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817364","url":null,"abstract":"A fuel cell (FC) unit is an electric generator that does not have environmental problems compared to conventional power plants producing huge mass of pollutants which stems from steam boilers. Therefore, it is one of the cleanest and most efficient technologies. In a FC, energy is not generated by combustion and generated by an electrochemical process. In this paper, modelling and simulation of a grid-connected Solid Oxide Fuel Cell (SOFC) unit is presented. The output voltage of the FC unit varies by load changes and its DC link voltage is stabilized by a DC-DC boost converter. A full-bridge three-phase inverter is also used to convert the output DC voltage to AC voltage. The linear model of power electronic converters are used to control the effects of load changes and reference power variations. Since the inverter is connected to the grid, the inverter control method is based on the Grid-following mode. The simulation results in MATLAB/ SIMULINK software validates the presented modelling and control strategy in the load and power reference change scenarios; so that the DC link voltage always remains constant and AC voltage of the inverter output also keeps its synchronism with the grid. The FC unit is able to inj ect generating power into the grid in addition to providing its local load.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128463353","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}
Amir Imani, Z. Moravej, Ali Foadian, Mahmood Khatami
{"title":"Optimal simultaneous recloser and sectionalizer allocation using collective decision optimization algorithm(CDOA)","authors":"Amir Imani, Z. Moravej, Ali Foadian, Mahmood Khatami","doi":"10.1109/epdc56235.2022.9817219","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817219","url":null,"abstract":"One of the main important challenge of electrical distribution grid studies is the optimal allocation of protection devices having dominant impact on reliability indices, non-distributed energy, the rate of outages and, etc. In this paper the simultaneous optimal allocation of protective devices including recloser and sectionalizer is carried out by presenting the novel formulation by applying collective decision optimization algorithm (CDOA). Also, all the influencing factor such as permanent and transient short circuit faults and the customer's interruption duration are considered in problem definition. In addition, the defined objective function ensures the optimality of SAIFI, MAIFI, and SAIDI and the economic considerations. In order to synthesis the different parts of non-homogenous objective functions, the fuzzy theory is used. Ultimately, to evaluate the proposed method the study is carried out in 33 bus IEEE standard system an also a local 20 kv feeder in Semnan province.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124755","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}
Atef Abdelfatah, S. Kamel, H. A. El-Sattar, Hossein Shahinzadeh, E. Kabalci
{"title":"Optimal Sizing of an Off-Grid PV/Diesel/Battery Storage System Using Gorilla Troops Optimizer","authors":"Atef Abdelfatah, S. Kamel, H. A. El-Sattar, Hossein Shahinzadeh, E. Kabalci","doi":"10.1109/epdc56235.2022.9817224","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817224","url":null,"abstract":"In this work, a new optimization approach of Artificial Gorilla Troops Optimizer Algorithm (GTO) is proposed to design an optimal sizing of a microgrid system that includes photovoltaic (PV) panels, a diesel generator (DG), and a battery storage system to feed the electricity to new west Qena city, Egypt based on meteorological data of this area. GTO method is used to design microgrid parts due to its high effectiveness in determining the optimal solution in a short time. The objective function of this paper is to reduce the system's cost of energy (COE), minimize the net present cost of the proposed hybrid system (NPC), and calculate the probability of insufficient power supply operation using the factor of loss of power supply probability at the system parts (LPSP). In this paper, statistical analysis is used to determine the optimization methods' capability in finding the optimal solution. The results obtained by GTO are compared with other known optimizers, namely Ant Lion optimization (ALO) and Gray Wolf optimizer (GWO), in order to prove the effectiveness of GTO approach. The results of the simulation indicate that the best design of the system is achieved by GTO over the other algorithms.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126636405","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":"Evaluation of the Application of Computational Model Machine Learning Methods to Simulate Wind Speed in Predicting the Production Capacity of the Swiss Basel Wind Farm","authors":"Seyedsalim Malakouti, A. Ghiasi","doi":"10.1109/epdc56235.2022.9817304","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817304","url":null,"abstract":"The potential of machine learning algorithms to recognize complex process patterns has been shown in several recent studies that effectively used machine learning approaches. Several machine learning techniques were utilized to anticip ate the wind approach, which may enhance the stability and dependability of wind power facilities. Basel air wind speed (WS) is being modeled and predicted using an ensemble of light gradient enhancing machines and supplementary trees. In both instructional and experimental datasets, the three techniques were used to compare the accuracy of their predictions. There was a significant difference in performance between the Ensemble (light gradient boosting machine and an extra tree) and the other two techniques in terms of the assessment criterion measures, such as the mean absolute error (MAE) and the mean fundamental error percentage (MSE).","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132231706","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}
Fatemeh Imani Aghkariz, M. H. Javidi, Navid Yektay
{"title":"Determining the optimal input current waveform in Electrolytic Capacitor-less LED drivers with high power quality","authors":"Fatemeh Imani Aghkariz, M. H. Javidi, Navid Yektay","doi":"10.1109/epdc56235.2022.9817148","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817148","url":null,"abstract":"In this study, a new method is proposed to replace electrolytic capacitors with a long life-span capacitor in light-emitting diode (LED) drivers. In this method, odd harmonics of AC network are injected into the input current up to nineteenth order, to eliminate power imbalance between input and output. For a better control, LED driver has considered as a two-stage driver. The injected harmonics and some of the circuit parameters such as output capacitors and control parameters of the first stage and second stage were determined by genetic algorithm. After applying the proposed method and performing the simulation, output capacitors were obtained less than 10 μF, which can be easily replaced with long-life capacitors. In addition, the essential requirements and standards for input current and output current were observed.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125792358","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}
S.M.Hasan Zanjani, Hossein Shahinzadeh, Z. Pourmirza, E. Kabalci, S. Muyeen, M. Benbouzid
{"title":"Optimal Operation of a Residential Energy Hub in the Presence of an Electric Vehicle using Whale Optimization Algorithm","authors":"S.M.Hasan Zanjani, Hossein Shahinzadeh, Z. Pourmirza, E. Kabalci, S. Muyeen, M. Benbouzid","doi":"10.1109/epdc56235.2022.9817265","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817265","url":null,"abstract":"An energy hub is a unit that receives various energy carriers such as electricity and natural gas at its input and, after converting or storing energy, offers different energies at its output such as electricity, heating, and cooling. One of the most cost-effective solutions for utilizing the electricity and gas industry infrastructure is to consider both of them as an integrated system, such as an energy hub in the planning and operation of energy systems. This paper studied the home energy hub model, including a combined heat and power (CHP) system and a grid-connected electric vehicle (PHEV). The operation of the energy hub is considered a linear optimization problem mixed with integers (MILP); Therefore, the goal is to minimize the co-payment cost of a residential house that uses the WOA optimization algorithm. Solving this optimization problem includes the amount of energy carriers entering the hub, the energy converted to CHP, and the charge and discharge of PHEV.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131414899","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":"Two-Tier Cascaded Classifiers to Improve Electrical Power Quality","authors":"Wisam Elmasry, Mohammed Wadi, Hossein Shahinzadeh","doi":"10.1109/epdc56235.2022.9817239","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817239","url":null,"abstract":"Although the manifestation of faults in electrical distribution networks is likely scarce, they deemed to be one of the most severe threats which encounter the reliability and stability of power systems. Thereby, most of research efforts in the last decade have been directed to characterize the faults and propose detection systems. However, the state-of-art of these systems still undergo serious shortcomings such as automation, integration and validation. To surpass these shortcomings, a two-tier system is proposed for both fault detection and fault classification in electrical distribution networks. Prior to deal with faults, the captured voltage signals pass through a preparatory unit to process the raw voltage signals. Afterwards, the optimized classifiers detect and classify the faults in the first and second tiers, respectively. Furthermore, the performance of the classifiers in both tiers is validated using the VSB dataset (real-time data for fault detection). Finally, the proposed two-tier system proved its efficiency in detecting electrical faults and their type as well.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134105544","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}
M. Zadeh, Zakaria Afshar, M. J. Harandi, Seyed Mohammad Taghi Bathaee
{"title":"Frequency Control of Low Inertia Microgids in Presence of Wind and Solar Units Using Fuzzy-neural Controllers","authors":"M. Zadeh, Zakaria Afshar, M. J. Harandi, Seyed Mohammad Taghi Bathaee","doi":"10.1109/epdc56235.2022.9817192","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817192","url":null,"abstract":"Balance between generating power and load demand is one of the most important challenges of power systems which directly affects frequency stability. Power imbalances can cause the operation of relays and frequency instability, as a result. On the other hand, in a microgrid, increasing the penetration factor of wind and solar energy can cause lack of frequency control due to uncertainty of generating output power and also low inertia of these resources compared to other conventional sources. Furthermore, Adjusting the gain of droop and inertia control loops is very effective on frequency stability performance. However, due to the wind speed and solar radiation fluctuations as well as load changes, it seems impossible adjusting the mentioned control coefficients with conventional PI controllers expecting the best response in all conditions. Therefore, this paper, by modeling load changes and wind and solar generating power and the participation of battery energy storage and diesel generators in the microgrid, proposes a control method based on virtual inertia compensation and also a fuzzy-neural controller for faster performance and more robustness. In the end, the results of this control strategy will be compared with other conventional controllers.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129596","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":"Peer to Peer Power Trading of Renewable Based Micro-grids Connected to the Distribution Network","authors":"Shahram Pourfarzin, Taherh Daemi, H. Akbari","doi":"10.1109/epdc56235.2022.9817222","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817222","url":null,"abstract":"Renewable Energies play crucial role in modern distribution systems. An active distribution system consists of several Micro-Grids (MGs) each of which has kinds of Distributed Generations (DGs) and Demand Response (DR) resources. Hence MG optimal operation is bi-level optimization problem whose upper level seeks for micro-grid owner profit and the lower level corresponds to distribution companies (DC) profit. In such a system MGs can exchange power between each other as well as distribution company. Therefore, upper level problem determines DGs generation, curtailed load, power exchange with other MGs subject to load balance constraint. Also Distribution Company (DISCO) clears retail market. On the other hand, renewable energies uncertainty and variably makes the MGs operation more complicated. In this paper, renewable energy variability handled by shift able load management and their uncertainty has been managed by curtailable load. The developed model has been solved by Particle Swarm Optimization (PSO) for upper level and then with given population in each iteration, lower level problem has been solved completely by other PSO package. This process ends when upper level PSO converge. Numerical studies have been shown that renewable management by proposed model leads to more optimal solutions.","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"338 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120907354","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":"2022 26th International Electrical Power Distribution Conference (EPDC)","authors":"","doi":"10.1109/epdc56235.2022.9817346","DOIUrl":"https://doi.org/10.1109/epdc56235.2022.9817346","url":null,"abstract":"2022 26th International Electrical Power Distribution Conference (EPDC).","PeriodicalId":395659,"journal":{"name":"2022 26th International Electrical Power Distribution Conference (EPDC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121469931","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}