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The distributed generation (DG) and the integration of renewable energy sources (RESs) have leveraged the improvement of the smart grid for a few decades. The smart home energy management systems (HEMSs) have also attracted attention in increasing the use of information and communication technologies in the context of smart grid applications. This paper proposes a smart metering infrastructure with DC and AC analog front ends (AFEs), wired and wireless communication interfaces, and remote monitoring software coded in Visual C#. The implemented metering device has been comprised of isolated measurement transducers for detecting the current and voltage rates of sources and various types of loads either in a microgrid or smart home application. The signal conditioning tier has been comprised of highly accurate and sensitive operational amplifiers, and signal processing has been accomplished by a PIC microcontroller which is capable to interface USB and ZigBee based wireless communication protocols. The processed measurement data have been transmitted with wireless communication, and a graphical user interface (GUI) software has been coded at the receiving end host computer. The measurement case studies have been experimentally performed in microgrid and HEMS infrastructures to validate the accuracy of the proposed smart metering device and software operated at the host computer.
Ersan Kabalcı; Yasin Kabalcı; Pierluigi Siano. Design and implementation of a smart metering infrastructure for low voltage microgrids. International Journal of Electrical Power & Energy Systems 2021, 134, 107375 .
AMA StyleErsan Kabalcı, Yasin Kabalcı, Pierluigi Siano. Design and implementation of a smart metering infrastructure for low voltage microgrids. International Journal of Electrical Power & Energy Systems. 2021; 134 ():107375.
Chicago/Turabian StyleErsan Kabalcı; Yasin Kabalcı; Pierluigi Siano. 2021. "Design and implementation of a smart metering infrastructure for low voltage microgrids." International Journal of Electrical Power & Energy Systems 134, no. : 107375.
Physical layer security (PLS) is one of the major concerns in modern mobile communication systems and has got special attention in millimeter-wave (mmWave) communication systems. The principal objective of this study is to construct a hybrid precoder that can secure the mmWave communication systems by incorporating the finest techniques to obtain a secure precoder and combiner for the legitimate receiver and to ensure minimum information leakage towards illegal-user. In this context, firstly, a traditionally coordinated precoder and combiner design algorithm is exploited in the analog domain to protect the legitimate receiver, and then, iterative geometric mean decompositions (IGMD) scheme is applied to obtain a digital precoder and combiner. Moreover, artificial noise (AN) is also transmitted towards illegal-user that further alleviates the privacy of the system. Finally, we compared our results with our latest proposed algorithm for a secure hybrid precoder system based on the generalized triangular decomposition (GTD) method and a recent algorithm presented in the literature. The simulation studies confirmed that the IGMD based approach considerably degrades the eavesdropping capabilities of the undesired user and provides significantly better secrecy rate performance as much as 3.5 bps/Hz than its counterparts.
Yasin Kabalci; Muhammad Ali. Iterative geometric mean decomposition based secure hybrid precoder design for mmWave massive MIMO communication systems. AEU - International Journal of Electronics and Communications 2021, 135, 153749 .
AMA StyleYasin Kabalci, Muhammad Ali. Iterative geometric mean decomposition based secure hybrid precoder design for mmWave massive MIMO communication systems. AEU - International Journal of Electronics and Communications. 2021; 135 ():153749.
Chicago/Turabian StyleYasin Kabalci; Muhammad Ali. 2021. "Iterative geometric mean decomposition based secure hybrid precoder design for mmWave massive MIMO communication systems." AEU - International Journal of Electronics and Communications 135, no. : 153749.
In many solar inverters, a dc/dc converter is mainly located between the solar arrays and the inverter. This study presents an enhanced maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems that drives solar array voltages to track a reference value and decreases fluctuations and oscillations in PV voltage. Different from the previously presented methods, a novel MPPT method is proposed that ensures tracking accuracy by considering output voltage in addition to input voltage and currents. The proposed method detects d I / d V variations, compares the output voltage with the desired reference to shift operation mode and refreshes step size. The digital filtering, enhanced PI, and perturb-and-observe (P&O) tracking features of the proposed MPPT method make it robust to mitigate source fluctuations and sensitivity to partial shading based oscillations. In order to validate the success of the proposed method, a test rig has been installed with dual boost converters. The performance improvements have been verified by both simulation and experimental results that are compared to InCon and P&O MPPT methods. It is also confirmed by experimental results that the proposed MPPT method provides robust control capability in terms of tracking the reference voltage and rejecting the effects of various shading situations on solar arrays.
Ersan Kabalci; Yasin Kabalci; Josep M. Guerrero. Design and Implementation of a Dual-Input Single-Output Photovoltaic Converter. Energies 2020, 13, 3679 .
AMA StyleErsan Kabalci, Yasin Kabalci, Josep M. Guerrero. Design and Implementation of a Dual-Input Single-Output Photovoltaic Converter. Energies. 2020; 13 (14):3679.
Chicago/Turabian StyleErsan Kabalci; Yasin Kabalci; Josep M. Guerrero. 2020. "Design and Implementation of a Dual-Input Single-Output Photovoltaic Converter." Energies 13, no. 14: 3679.
Millimeter-wave (mmWave) communication systems are realized to play a key role in next-generation communication systems to achieve high data rate requirements, allowing manifold connected devices and efficient bandwidth utilization. Although mmWave communication has severe degradation problems, security is considered as one of the most important issues. The objective of this study is to analyze and compare the effectiveness of secure communication among the transmitter, legitimate receiver and illegal user using different hybrid precoding and combining algorithms (phase extraction alternate minimizing (PE-AltMin), manifold optimization (MO-AltMin), spatially sparse precoding (SSP) and most recent reported algorithm in the literature). In this study, standard PE-AltMin and MO-AltMin algorithms are also modified in digital baseband domain to achieve better results. The security is achieved in two steps. First, cooperative analog precoder and combiner design algorithms are utilized to get RF precoder and combiner, and then, digital precoder and combiner are attained based on effective baseband digital channel. The simulation studies validate the impact of modified PE-AltMin algorithm that realizes better secrecy rate results than the other hybrid algorithms and ensures the most protected transmission. In simpler words, the utilization of proposed PE-AltMin hybrid algorithm offers the least information leakage towards Eavesdropper than others.
Yasin Kabalci; Muhammad Ali. Secrecy rate analysis of hybrid precoders for mmWave communication systems. Physical Communication 2020, 41, 101104 .
AMA StyleYasin Kabalci, Muhammad Ali. Secrecy rate analysis of hybrid precoders for mmWave communication systems. Physical Communication. 2020; 41 ():101104.
Chicago/Turabian StyleYasin Kabalci; Muhammad Ali. 2020. "Secrecy rate analysis of hybrid precoders for mmWave communication systems." Physical Communication 41, no. : 101104.
Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.
Yasin Kabalci; Ersan Kabalci; Sanjeevikumar Padmanaban; Jens Bo Holm-Nielsen; Frede Blaabjerg. Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments. Electronics 2019, 8, 972 .
AMA StyleYasin Kabalci, Ersan Kabalci, Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Frede Blaabjerg. Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments. Electronics. 2019; 8 (9):972.
Chicago/Turabian StyleYasin Kabalci; Ersan Kabalci; Sanjeevikumar Padmanaban; Jens Bo Holm-Nielsen; Frede Blaabjerg. 2019. "Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments." Electronics 8, no. 9: 972.
Non-orthogonal multiple access (NOMA) schemes have emerged as an inspiring technology for next generation mobile communication systems. This paper firstly confirms the superiority of NOMA systems over orthogonal multiple access (OMA) schemes by considering orthogonal frequency division modulation (OFDM) waveform. Further, it is verified that coded NOMA systems based on low-density parity-check (LDPC) coding outperform uncoded NOMA systems in terms of bit error rate (BER) performance metric with respect to transmit power. To show the performance of OMA and NOMA systems, two cells each having a single base station (BS) are constructed. For simplicity, two devices are considered in OMA cell while four devices are used in NOMA cell which utilize multiple user superposition transmission (MUST) technique (downlink power-domain version of NOMA). Later, performance of the system is analyzed in terms of throughput and peak-to-average power ratio (PAPR) for downlink scenario. Lastly, performance of the considered system for different waveforms such as OFDM, weighted over lap and add (WOLA) and filtered OFDM (F-OFDM) is compared. According to obtained simulation results, WOLA waveform generally outperforms OFDM and F-OFDM waveforms in throughput, however, slight better results are being shown by F-OFDM waveform in high PAPR values.
Yasin Kabalci; Muhammad Ali. Downlink Performance Evaluation of NOMA Systems Based on Different OFDM Waveforms. 2019 1st Global Power, Energy and Communication Conference (GPECOM) 2019, 106 -111.
AMA StyleYasin Kabalci, Muhammad Ali. Downlink Performance Evaluation of NOMA Systems Based on Different OFDM Waveforms. 2019 1st Global Power, Energy and Communication Conference (GPECOM). 2019; ():106-111.
Chicago/Turabian StyleYasin Kabalci; Muhammad Ali. 2019. "Downlink Performance Evaluation of NOMA Systems Based on Different OFDM Waveforms." 2019 1st Global Power, Energy and Communication Conference (GPECOM) , no. : 106-111.
Manifold connected devices are expected in Fifth Generation (5G) wireless communication systems that may lead to serious interference issues among the User Equipments (UEs). This inter-user(s) interference certainly degrade the performance of devices in terms of Bit Error Rate (BER) and throughput. This paper investigates the impact of different modulation waveforms such as Orthogonal Frequency Division Modulation (OFDM), Filtered OFDM (F-OFDM) and Filtered Bank Multiple Carrier (FBMC) on the performance of devices in 5G uplink communications and sorts out which waveform provides optimal results in the presence of inter-user interference. To analyze the effect of inter-user interference, a general model is constructed consists of two cells each having single UE and a Base Station (BS) for simplicity. Pedestrian A channel model is chosen in this study, whereas Low-Density Polarity-Check (LDPC) coding scheme is considered for channel coding for all the considered waveforms. The performance of the system in terms of BER, throughput and Peak-to-Average Power Ratio (PAPR) for the aforementioned waveforms are analyzed through simulation studies. According to simulation results, FBMC waveform generally outperforms OFDM and F-OFDM in all the performance metrics (i.e., BER, throughput and PAPR).
Yasin Kabalci; Muhammad Ali. Investigation of Inter-User Interference Effect on 5G Uplink Communications. 2019 1st Global Power, Energy and Communication Conference (GPECOM) 2019, 112 -116.
AMA StyleYasin Kabalci, Muhammad Ali. Investigation of Inter-User Interference Effect on 5G Uplink Communications. 2019 1st Global Power, Energy and Communication Conference (GPECOM). 2019; ():112-116.
Chicago/Turabian StyleYasin Kabalci; Muhammad Ali. 2019. "Investigation of Inter-User Interference Effect on 5G Uplink Communications." 2019 1st Global Power, Energy and Communication Conference (GPECOM) , no. : 112-116.
Low-power wide-area network (LPWAN) technologies are emerging communication systems that aim to present a new concept supporting wide area communication with low power requirements for smart environments such as smart grids (SGs), smart cities, smart meters (SMs) and Internet of Things (IoT). This study presents a systematical analysis for popular LPWAN technologies such as Ultra Narrowband (UNB), Long Range (LoRa), Long Term Evolution for Machines (LTE-M) and Narrow Band IoT (NB-IoT). Technical structures, advantages and drawbacks of these communication technologies are detailed examined by considering their operating spectrum, where UNB and LoRa technologies operate on unlicensed spectrum while LTE-M and NB-IoT technologies work on licensed spectrum. Consequently, it is shown that it is not yet clear which one of these technologies will be winner since there currently exist several challenges to be solved such as battery life, capacity and cost.
Yasin Kabalci; Muhammad Ali. Emerging LPWAN Technologies for Smart Environments: An Outlook. 2019 1st Global Power, Energy and Communication Conference (GPECOM) 2019, 24 -29.
AMA StyleYasin Kabalci, Muhammad Ali. Emerging LPWAN Technologies for Smart Environments: An Outlook. 2019 1st Global Power, Energy and Communication Conference (GPECOM). 2019; ():24-29.
Chicago/Turabian StyleYasin Kabalci; Muhammad Ali. 2019. "Emerging LPWAN Technologies for Smart Environments: An Outlook." 2019 1st Global Power, Energy and Communication Conference (GPECOM) , no. : 24-29.
Energy Internet (EI) is a novel concept that can be thought of transformation of smart grids into the Internet where different energy forms can be integrated to provide more efficient and resilient power grid. Deployment of modern communication techniques are expected to serve as backbone for EI. However, designing advanced and robust communication infrastructures for enabling effective EI systems is a very critical and complex task. The key aim of this study is to provide an analysis to address present status of EI systems. Firstly, the key idea of EI systems along with its essential components is presented. Later on, latest developments in energy routers, information and network systems that are essential for concept of EI are discussed. At last, the threats and their possible solutions subjected to the EI systems are discussed.
Yasin Kabalci; Muhammad Ali. Energy Internet: A Novel Vision for Next-Generation Smart Grid Communications. 2019 1st Global Power, Energy and Communication Conference (GPECOM) 2019, 96 -100.
AMA StyleYasin Kabalci, Muhammad Ali. Energy Internet: A Novel Vision for Next-Generation Smart Grid Communications. 2019 1st Global Power, Energy and Communication Conference (GPECOM). 2019; ():96-100.
Chicago/Turabian StyleYasin Kabalci; Muhammad Ali. 2019. "Energy Internet: A Novel Vision for Next-Generation Smart Grid Communications." 2019 1st Global Power, Energy and Communication Conference (GPECOM) , no. : 96-100.
Electrical harmonics directly affect the power quality of electrical systems. In order to improve power quality of electrical systems, accurate estimation of electrical harmonics is crucial and essential. This paper presents a novel estimator design approach for harmonic estimation problems. The proposed harmonic estimator is based on lightning search algorithm (LSA) that is a powerful metaheuristic optimization method inspired of natural phenomenon of lightning. The performance of designed estimator has been comprehensively analyzed by considering time varying power signals that contain two well-known estimation problems in the literature. In addition, each of these problems are examined for three different levels of noise. Furthermore, performance of the designed estimator is compared with the previously reported estimators. The achieved estimation results for different case studies clearly indicated that the proposed LSA based harmonic estimator provides better estimation results in all experiments than that of our previous method based on modified artificial bee colony (MABC) optimization and other existing methods available in the literature.
Yasin Kabalci; Ersan Kabalci. Noise insensitive optimal harmonic estimator design with lightning search algorithm. Swarm and Evolutionary Computation 2019, 46, 219 -234.
AMA StyleYasin Kabalci, Ersan Kabalci. Noise insensitive optimal harmonic estimator design with lightning search algorithm. Swarm and Evolutionary Computation. 2019; 46 ():219-234.
Chicago/Turabian StyleYasin Kabalci; Ersan Kabalci. 2019. "Noise insensitive optimal harmonic estimator design with lightning search algorithm." Swarm and Evolutionary Computation 46, no. : 219-234.
In recent years, wireless sensor networks (WSNs) have received growing attention owing to their remarkable advantages, and they are widely being utilized in various metering and monitoring application areas such as Internet of things (IoT), smart grids, smart cities, smart homes, cloud computing, healthcare monitoring, military investigation, environmental surveillance systems. The most widely utilized standard in the WSN applications is IEEE 802.15.4 that is developed to enable short-range applications with low data rates and low power consumption features. This chapter aims to provide comprehensive information concerning of the WSNs, general specifications of the IEEE 802.15.4 standard, recently developed new technologies based on this standard, and several practical WSN applications performed for smart grid concept. This chapter firstly introduces the fundamentals, application areas, and advantages of the WSNs in a detail. Later, the chapter continues by explaining technical backgrounds of the WSNs where IEEE 802.15.4 standard is examined in terms of layer stacks. The physical (PHY) and media access control (MAC) layers of the IEEE 802.15.4 standard are comprehensively analyzed since these layers are the basis of new technologies such as ZigBee, WirelessHART, ISA100.11a, 6LoWPAN, and 6TiSCH. Afterward, these novel technologies are introduced and analyzed by considering open systems interconnection (OSI) reference model. Finally, practical examples of the WSNs regarding metering and monitoring applications of smart grids are presented at the end of this chapter.
Yasin Kabalci. IEEE 802.15.4 Technologies for Smart Grids. Energy Systems in Electrical Engineering 2018, 531 -550.
AMA StyleYasin Kabalci. IEEE 802.15.4 Technologies for Smart Grids. Energy Systems in Electrical Engineering. 2018; ():531-550.
Chicago/Turabian StyleYasin Kabalci. 2018. "IEEE 802.15.4 Technologies for Smart Grids." Energy Systems in Electrical Engineering , no. : 531-550.
Wireless and mobile communication technologies exhibit remarkable changes in every decade. The necessity of these changes is based on the changing user demands and innovations offered by the emerging technologies. This chapter provides information on the current situation of fifth generation (5G) mobile communication systems. Before discussing the details of the 5G networks, the evolution of mobile communication systems is considered from first generation to fourth generation systems. The advantages and weaknesses of each generation are explained comparatively. Later, technical infrastructure developments of the 5G communication systems have been evaluated in the context of system requirements and new experiences of users such as 4K video streaming, tactile Internet, and augmented reality. After the main goals and requirements of the 5G networks are described, the planned targets to be provided in real applications by this new generation systems are clarified. In addition, different usage scenarios and minimum requirements for the ITU-2020 are evaluated. On the other hand, there are several challenges to be overcome for achieving the intended purpose of 5G communication systems. These challenges and potential solutions for them are described in the proceeding subsections of the chapter. Furthermore, massive multiple-input multiple-output (MIMO), millimeter wave (mmWave), mmWave massive MIMO, and beamforming techniques are clarified in a detail which are taken into account as promising key technologies for the 5G networks. Besides, potential application areas and application examples of the 5G communication systems are covered at the end of this chapter.
Yasin Kabalci. 5G Mobile Communication Systems: Fundamentals, Challenges, and Key Technologies. Energy Systems in Electrical Engineering 2018, 329 -359.
AMA StyleYasin Kabalci. 5G Mobile Communication Systems: Fundamentals, Challenges, and Key Technologies. Energy Systems in Electrical Engineering. 2018; ():329-359.
Chicago/Turabian StyleYasin Kabalci. 2018. "5G Mobile Communication Systems: Fundamentals, Challenges, and Key Technologies." Energy Systems in Electrical Engineering , no. : 329-359.
This study presents both a hybrid microgrid system design with renewable energy and their control methods, analysis result. This renewable energy resources (RES) consist of 33kW PVs, 100kW fuel cell stack and a 50kW wind turbine with permanent magnet synchronous generator (PMSG). PV plant includes the PV arrays and DC-DC boost converter. Fuel cell plant includes the fuel cell stacks and DC-DC boost converter. The wind energy plant contains the wind turbine, PMSG, uncontrolled rectifier and DC-DC boost converter. The boost converter connected to PV plant has been controlled by using incremental conductance maximum power point tracking algorithm (IC-MPPT A). Both the boost converters of the wind energy system and fuel cell system have been operated with PI controllers. The switching element of all boost converters is M OSFE T. The switching frequency for boost converters of the wind energy system and fuel cell system is 30 kHz and 50 kHz for boost converter connected PV array. The hybrid microgrid has been coupled on 1000V DC-bus bar. 400V/120 kV transformer and 120 kV, 50 Hz AC supply have been used to create the grid model. To convert from DC to AC, as the topology, full bridge inverter circuit has been used and IGBT has selected as the switching element. Phase locked loop (PLL) algorithm has been used as a control for the AC voltage generated at the inverter output to be the same phase, frequency and amplitude with the grid. The system has been operated under the various operating conditions such as wind speed and solar irradiation. And despite these variables, the desired results have been obtained from the system.
Ersan Kabalci; Hilal Irgan; Yasin Kabalci. Hybrid Microgrid System Design with Renewable Energy Sources. 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC) 2018, 387 -392.
AMA StyleErsan Kabalci, Hilal Irgan, Yasin Kabalci. Hybrid Microgrid System Design with Renewable Energy Sources. 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC). 2018; ():387-392.
Chicago/Turabian StyleErsan Kabalci; Hilal Irgan; Yasin Kabalci. 2018. "Hybrid Microgrid System Design with Renewable Energy Sources." 2018 IEEE 18th International Power Electronics and Motion Control Conference (PEMC) , no. : 387-392.
Hybrid precoding schemes have recently gained a great attention for millimeter wave (mmWave) massive multiple-input-multiple-output (massive MIMO) communication systems because of offered cost and low-power consumption advantages. The singular value decomposition (SVD) method which is exploited in the design of hybrid precoding causes several problems on system design, especially on bit allocation, precoding and equalizing processes. On the other hand, the previous works show that generalized triangular decomposition (GTD) method can present asymptotically optimal performance in conventional MIMO systems. In the light of this, we propose the use of GTD method for designing hybrid precoding operating in mmWave massive MIMO systems. The proposed design is analyzed via performed simulation studies including different system configurations. Moreover, the archived results are compared with the standard orthogonal matching pursuit (OMP) algorithm based hybrid precoding scheme. The simulation results show that the proposed hybrid precoding scheme can reach up to the performance of optimal precoding scheme.
Yasin Kabalci; Huseyin Arslan. Hybrid precoding for mmWave massive MIMO systems with generalized triangular decomposition. 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON) 2018, 1 -6.
AMA StyleYasin Kabalci, Huseyin Arslan. Hybrid precoding for mmWave massive MIMO systems with generalized triangular decomposition. 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON). 2018; ():1-6.
Chicago/Turabian StyleYasin Kabalci; Huseyin Arslan. 2018. "Hybrid precoding for mmWave massive MIMO systems with generalized triangular decomposition." 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON) , no. : 1-6.
Ersan Kabalci; Yasin Kabalci. A wireless metering and monitoring system for solar string inverters. International Journal of Electrical Power & Energy Systems 2018, 96, 282 -295.
AMA StyleErsan Kabalci, Yasin Kabalci. A wireless metering and monitoring system for solar string inverters. International Journal of Electrical Power & Energy Systems. 2018; 96 ():282-295.
Chicago/Turabian StyleErsan Kabalci; Yasin Kabalci. 2018. "A wireless metering and monitoring system for solar string inverters." International Journal of Electrical Power & Energy Systems 96, no. : 282-295.
Electrical harmonic is an important issue on power quality of electrical systems. Therefore, estimation of power harmonics are essential to design filters to be utilized in electrical power systems for reducing harmonics and their effects on the electrical power systems. In this study, a power system harmonic estimation solution based on modified artificial bee colony (MABC) algorithm have been proposed. The proposed method in this study is different from other hybrid techniques previously reported ones since estimation processes are mainly focused on decreasing computational complexity and time. In order to provide more accurate and comprehensive estimation results for the proposed method, two different experiments are investigated. Obtained results by the performed experiments showed that the proposed harmonic estimator provides several advantages such as offering very low computational time, more accurate estimation of amplitude and phase values for all conditions and low complexity.
Yasin Kabalci; Serdar Kockanat; Ersan Kabalci. A modified ABC algorithm approach for power system harmonic estimation problems. Electric Power Systems Research 2018, 154, 160 -173.
AMA StyleYasin Kabalci, Serdar Kockanat, Ersan Kabalci. A modified ABC algorithm approach for power system harmonic estimation problems. Electric Power Systems Research. 2018; 154 ():160-173.
Chicago/Turabian StyleYasin Kabalci; Serdar Kockanat; Ersan Kabalci. 2018. "A modified ABC algorithm approach for power system harmonic estimation problems." Electric Power Systems Research 154, no. : 160-173.
The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but also cause dangerous situations such as heating and burning. For this reason, the estimation of the amplitude and phase of harmonics plays an important role in the design of electrical systems that will reduce the negative effects of harmonics. In this study, a novel harmonic estimator design for the harmonic estimation problem, which is frequently proposed in the literature, is proposed using hybrid particle swarm optimization (HPSO). The obtained results are compared with those of the proposed studies in literature and the success of the designed HPSO based harmonic estimator is analyzed.
Yasin Kabalci; Serdar Kockanat; Ersan Kabalci. Harmonic estimator design using hybrid particle swarm optimization. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) 2017, 1 -4.
AMA StyleYasin Kabalci, Serdar Kockanat, Ersan Kabalci. Harmonic estimator design using hybrid particle swarm optimization. 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). 2017; ():1-4.
Chicago/Turabian StyleYasin Kabalci; Serdar Kockanat; Ersan Kabalci. 2017. "Harmonic estimator design using hybrid particle swarm optimization." 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) , no. : 1-4.
The observing and metering processes are necessary in renewable energy conversion systems as applied in smart grid applications of conventional grid. In this study, the requirements of the renewable energy sources examined with a solar microgrid model that is developed via Matlab/Simulink. The dc-ac conversion system utilized in this paper contains three solar power plants with maximum power point tracking (MPPT) system and a multilevel inverter to create three-phase ac line voltages. The transmission line is modeled at the output of the inverter with a length of 25 km by using real line parameters. The infrastructure of power line communication (PLC) is managed by binary phase shift keying (BPSK) modems that are located in different places. The usage of the proposed energy monitoring technique eliminates additional monitoring costs due to the fact that the power lines are not only exploited to carry the generated voltage, but also utilized to convey the drawn power rate of loads at the back-end of the microgrid.
Yasin Kabalci; Ersan Kabalci. Modeling and analysis of a smart grid monitoring system for renewable energy sources. Solar Energy 2017, 153, 262 -275.
AMA StyleYasin Kabalci, Ersan Kabalci. Modeling and analysis of a smart grid monitoring system for renewable energy sources. Solar Energy. 2017; 153 ():262-275.
Chicago/Turabian StyleYasin Kabalci; Ersan Kabalci. 2017. "Modeling and analysis of a smart grid monitoring system for renewable energy sources." Solar Energy 153, no. : 262-275.
Renewable energy sources are obviously accepted as clean energy sources of future. The solar energy is the most popular among other renewable energy sources in all over the world. Many studies are performed on photovoltaics (PVs) and solar energy systems. Inverter is the most important power converter section of photovoltaic systems in terms of efficiency in changing weather conditions. This study presents the design and analysis of a micro inverter for PV systems. The proposed micro inverter is designed by using MATLAB Simulink software, and the control algorithms are implemented according to Incremental Conductance method. It consists of isolated boost converter with Maximum Power Point Tracking (MPPT) and H-bridge inverter with PI controller. The reaction of system has been observed under changing irradiation conditions. The implemented micro inverter has compensated the irradiation changes at boost converter stage, and dc-ac conversion process is performed regarding to the designed PI controller. The dc bus voltage is increased to around 300V, and the HF transformer is used to increase inverter input voltage to 420V. The output of inverter is generated with the support of PI controller to track 220Vrms line voltage. The THD rates for both voltage and current are measured at 0.51% in FFT spectrum, and the overall power of the micro inverter is supplied around 315W.
Ersan Kabalci; Aydin Boyar; Yasin Kabalci. Design and analysis of a micro inverter for PV plants. 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2017, 1 -6.
AMA StyleErsan Kabalci, Aydin Boyar, Yasin Kabalci. Design and analysis of a micro inverter for PV plants. 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). 2017; ():1-6.
Chicago/Turabian StyleErsan Kabalci; Aydin Boyar; Yasin Kabalci. 2017. "Design and analysis of a micro inverter for PV plants." 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) , no. : 1-6.
This paper presents an optimization approach based differential search algorithm (DSA) for amplitude and phase estimation of time varying power signal in electrical power systems. Proposed method has been tested for two well-known literature problems that include fundamental, sub- and inter-harmonic estimation cases. The performance of the suggested DSA method has been compared with those of the Genetic Algorithm-Least Square (GA-LS), Particle swarm optimization with passive congregation least square (PSOPC-LS), Bacterial foraging optimization (BFO), Fuzzy bacterial foraging-least square (F-BFO-LS) and Bacterial foraging optimization-recursive least square (BFO-RLS). The results show that the proposed DSA method has an efficient, fast and accurate estimation behavior among previously reported ones in the case of time varying harmonic power signals. In addition, the estimated amplitude and phase values using DSA method can provide possibility to design suitable harmonic reducing filter for improving power quality.
Yasin Kabalci; Serdar Kockanat; Ersan Kabalci. A differential search algorithm application for solving harmonic estimation problems. 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2017, 1 -5.
AMA StyleYasin Kabalci, Serdar Kockanat, Ersan Kabalci. A differential search algorithm application for solving harmonic estimation problems. 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). 2017; ():1-5.
Chicago/Turabian StyleYasin Kabalci; Serdar Kockanat; Ersan Kabalci. 2017. "A differential search algorithm application for solving harmonic estimation problems." 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) , no. : 1-5.