I. Harbi, Mohamed Abdelrahem, Mahmoud Aref, Mostafa Ahmed, R. Kennel
{"title":"Computationally Efficient FCS-MPC for Single-Phase Five-Level ANPC Inverter","authors":"I. Harbi, Mohamed Abdelrahem, Mahmoud Aref, Mostafa Ahmed, R. Kennel","doi":"10.1109/MEPCON50283.2021.9686199","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686199","url":null,"abstract":"An efficient model predictive control (MPC) method with a low computational load is presented in this paper for five-level active neutral point clamped (5L-ANPC) converter. Three control objectives are considered in the developed control algorithm; current control, flying capacitor (FC) control and dc-link balancing. The proposed FCS-MPC method avoids the heavy calculation load required for the current prediction by exploiting the concept of the dead-beat predictive control method. Furthermore, the cost function evaluations per control sample are significantly reduced compared to traditional FCS-MPC. As a consequence, the execution time is considerably reduced. The validation of the proposed method in transient- and steady-state is verified by the experimental implementation. The performance is compared with the conventional FCS-MPC method.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128278895","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":"A $mu PMU$ Full Observation Algorithm for Balanced Radial Distribution Grid with PV Integration","authors":"Wael Ahmed, M. Nayel, M. T. El-Mohandes","doi":"10.1109/MEPCON50283.2021.9686215","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686215","url":null,"abstract":"Due to the growth of distributed energy resources (DER) and new customer devices, there is currently a two-way energy flow in electric distribution grids. As a result, there is increasing tendency in full observation tools for grid protection and management. Micro Phasor Measurement Unit $(mu text{PMU})$ measures highly precise time-synchronized current and voltage samples, calculates their respective phasors and online transmits the determined phasors to a phasor data concentrator (PDC). In this paper, two algorithms are proposed. The first algorithm is a full observation algorithm for underground balanced radial distribution grid with minimum numbers of $mutext{PMUs}$. This algorithm aids in the development of a monitoring system of the underground balance radial distribution grid for medium voltage (MV) and low voltage (LV) sides. The second algorithm is a backward/forward sweep balanced power flow (BPF) algorithm for underground radial distribution grid with photovoltaic (PV) integration in LV side. The outputs of backward/forward sweep BPF program are compared with ETAP outputs to test algorithm accuracy. To ensure the accuracy of the $mu text{PMU}^{prime}mathrm{s}$ full observation algorithm, a testing process is used. The output phasors measured by $mu text{PMU}$ are implemented from backward/forward sweep BPF outputs at the buses where $mu text{PMUs}$ are installed. The $mutext{PMU}$ full observation algorithm outputs at the other buses are compared with those obtained from backward/forward sweep BPF. The testing process proves high accuracy of the $mu text{PMUs}$ full observation algorithm for various distribution grid operation scenarios.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131131122","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":"Thermal Aging Influence on Relaxation Time of Transformer Insulation Paper Impregnated in Natural and Synthetic Ester Oils","authors":"Walaa A. Madkour, D. Mansour, H. Abosheiasha","doi":"10.1109/MEPCON50283.2021.9686229","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686229","url":null,"abstract":"For many centuries, mineral oil was used as an insulating fluid with power transformers. However, mineral oil is produced from limited petroleum products and is not biodegradable. These reasons motivated researchers to investigate the usage of alternative insulating liquids such as natural and synthetic esters. But, for practical application of ester oils, there is a need to study the influence of the thermal aging on the paper insulation impregnated with such oils, which is the main aim in this paper. The aging of kraft paper in natural, synthetic esters and mineral oil was compared. The oil-paper insulation was aged at 120°C for 72 hrs, 144 hrs and 240 hrs. The dielectric behavior was investigated via using frequency domain spectroscopy analysis over a frequency range from 10HZ to 1 MHZ. The dielectric relaxation times were calculated for unaged and aged oil impregnated paper samples. The results indicated the better behavior of synthetic ester over natural ester and mineral oil.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116040210","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":"An Enhanced Slime Mould Algorithm Optimized LFC Scheme for Interconnected Power Systems","authors":"A. Elmelegi, E. A. Mohamed, M. Aly, E. Ahmed","doi":"10.1109/MEPCON50283.2021.9686245","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686245","url":null,"abstract":"Load frequency control (LFC) is a crucial motif of power system stability since it regulates the divergences of system frequency and tie-line power. This paper proposes a new optimized fractional-order (FO) LFC for a multi-area interconnected power system based on the slime mould algorithm (SMA). The developed controller combines two FO controllers including the tilt-derivative controller with filter (TDF) and a hybrid fractional-order controller. Additionally, future electric vehicles (EVs) installations are expected to participate in the LFC. The superiority and the effectiveness of the SMA tuned controller are confirmed by performing different comparative analyses with featured controllers in the literature under various step load disturbances and significant disruption of renewable energy sources (RESs). The results of the simulation demonstrate the proposed controller's ability to improve system response.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"31 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120852788","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":"Performance of Karot Distribution Line as Influenced by Management of Water Pumping Loads","authors":"M. Abdel-Salam, M. Nayel, Omar Samir, A. Elnozahy","doi":"10.1109/MEPCON50283.2021.9686190","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686190","url":null,"abstract":"Power quality remains one of the most important aspects of the operation of electrical distribution systems. Starting of induction motors causes a voltage sag which negatively affects the power quality. In the present research, the effect of simultaneous energization of water pumping motors on the operation of Karot distribution line is studied. Transient analysis of induction motors during their acceleration period is pursued using ETAP package. The obtained results indicate that the line experience a 20% voltage sag for 7 seconds on simultaneous energization of 16 motors from the line with a subsequent power outage. Management of motors' operation to avoid their simultaneous acceleration is aimed at improving the power quality of the line. Cascaded operation of the motors results in eliminating the voltage sag problem where the line voltage never drops below 0.95 pu due to motors' acceleration.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127221730","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":"Dynamic Control of Li-Ion Battery-Supercapacitor Hybrid Energy Stora ge System Power Sharing Through Low Pass Filter's time constant","authors":"Safaa Farrag, M. Numair, D. Mansour, S. Dawoud","doi":"10.1109/MEPCON50283.2021.9686234","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686234","url":null,"abstract":"Energy storage has a number of benefits, including the ability to balance generation and demand. In microgrid (MG) operation, this means enhancing power quality, smoothing out the intermittent nature of renewable energy sources, and providing ancillary services like frequency and voltage regulation. Hybrid Energy Storage Systems (HESS) has emerged as a solution for achieving desired output by combining the best qualities of various storage technologies. As a result, the literature has documented a variety of HESS designs that take into account storage type, interface, control technique, and service provided. This study investigates how a 5-kW grid-connected photovoltaic array with HESS that consists of a battery and a supercapacitor can dispatch solar electricity at one-hour intervals for a complete day. A Low Pass Filter (LPF) was used to decompose the total difference between generated and load power into high frequency and low frequency components. The high frequency component is substituted by the supercapacitor, while the low frequency one is substituted by the battery. A control system was built that would dynamically modulate the power-sharing between battery and supercapacitor by changing the time constant of LPF.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134006660","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}
Azza A. Faiad, Osama M. Hebala, M. Hamad, A. Abdel-Khalik
{"title":"A Modular Multilevel Converter Based Solid State Transformer (MMC-SST) for High Power Wind Generators","authors":"Azza A. Faiad, Osama M. Hebala, M. Hamad, A. Abdel-Khalik","doi":"10.1109/MEPCON50283.2021.9686211","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686211","url":null,"abstract":"Solid-state transformer (SST) technology has emerged as a promising alternative in distribution networks providing transformation between voltage levels through the employment of power electronic converters and a high-frequency isolation transformer. SST operation is employed in either medium or high-frequency ranges, leading to a considerable reduction in overall weight and volume. This paper proposes a modified single shift modulation for Modular Multilevel Converter Based Solid State Transformer (MMC-SST) operation for high power wind-turbine integration. The power controller is designed such that the power requirement of the medium-voltage DC (MVDC) grid is achieved using a proportional-integral (PI) controller along with traditional MMC voltage balancing which further enhances the overall system performance. A MATLAB/SIMULINK model is constructed for a 4 MW DC microgrid to validate the proposed control and modulation scheme. Different scenarios for normal and fault conditions are investigated where the efficiency of the proposed system under balanced power distribution reaches 96%.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116604888","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}
T. Alquthami, Mohannad K. Alghamdi, Bandar S. Almajnuni, O. M. Alarbidi
{"title":"Forecasting Transmission System Outages Using Artificial Neural Networks","authors":"T. Alquthami, Mohannad K. Alghamdi, Bandar S. Almajnuni, O. M. Alarbidi","doi":"10.1109/MEPCON50283.2021.9686292","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686292","url":null,"abstract":"Estimating system outages is an important aspect of operating the electrical system efficiently. It helps system operators to prepare the necessary measures in case these outages take place and ensure the system continues to operate in a safe, secure, and reliable way. In recent years, artificial intelligence algorithms have been considered to be a major aid in forecasting, estimating, and diagnostic methods. This is mainly due to the amount of data available to train such algorithms as well as rapid developments in computers hardware capabilities. This paper proposes a method of predicting transmission system outages, specifically extra-high voltage AC transmission lines by analyzing historical records of outages due to different types of events. The estimation is done through Artificial Neural Networks (ANNs) represented in MATLAB and trained using backpropagation techniques. The optimization of the training algorithm is presented, and it plays a major role in shaping up the final feedforward part of the ANN. The proposed techniques show good results when evaluated using a multitude of metrics.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831624","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":"A Novel Strong Action Controller Simplified Model with Detailed Mathematical Interpretation and Performance Evaluation","authors":"Hossam Kotb, A. Yakout, W. Sabry","doi":"10.1109/MEPCON50283.2021.9686227","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686227","url":null,"abstract":"In the early years of the 20th century, proportional-integral-derivative (PID) controller was created as the 1st step in modern control engineering. With time, PID controllers proved their effectiveness in dynamical systems control. Various developments and modifications were accomplished to the PID controller. One of these recent additions is the strong action controller (SAC). SAC is utilized as a power system controller and stabilizer on most generators in the Russian electrical power grid. Its structure is a complex combination of P, I, and D blocks. In the current paper, a novel simplified model will be deduced, and comprehensive analysis will be presented to this SAC. Sufficient mathematical interpretations will be done. Also, SAC performance evaluation in order to examine its suitability to act as an efficient controller will be proved and demonstrated; and to achieve this suitability, a comparison between SAC and PID controller will be carried out. All results proved its effectiveness to work as an active controller.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131246294","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":"Deep Learning Based Real-Time Detection of False Data Injection Attacks in Power Grids","authors":"Debottam Mukherjee, Samrat Chakraborty, Ramashis Banerjee, Joydeep Bhunia, Pabitra Kumar Guchhait","doi":"10.1109/MEPCON50283.2021.9686254","DOIUrl":"https://doi.org/10.1109/MEPCON50283.2021.9686254","url":null,"abstract":"False data injection attack is an advanced class of modern cyber-attacks against the state estimation algorithm of the smart grid. Such attacks can inherently delude the bad data detectors at the control center and develop critical scenarios by corrupting the set of estimated states. This work furnishes an effective detection of such class of attacks with predefined bounds. The detection policy involves a robust, nonlinear deep learning approach that is capable of not only forecasting the operating states of the grid, but also can be effectively deployed by the operator to determine any attacks within the raw measurements. It is seen that such scalable models working in real-time promote a robust performance under measurement noise as well. The proposed model with its set of optimal hyper-parameters showcases a better state forecasting scheme with minimum error margin than most of the state of the art forecasting strategies. A diligent analysis on the IEEE 14 bus test system effectively promotes the aforementioned propositions.","PeriodicalId":141478,"journal":{"name":"2021 22nd International Middle East Power Systems Conference (MEPCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128133447","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}