Top PDF Control of PV Connected Power Grid using LQR and Fuzzy Logic Control

Control of PV Connected Power Grid using LQR and Fuzzy Logic Control

Control of PV Connected Power Grid using LQR and Fuzzy Logic Control

84 4.6.1 Case 1: Acceptable increase in load (βˆ†π‘· π’π’π’‚π’…πŸ = βˆ†π‘· π’π’π’‚π’…πŸ ) Figure 4.32, Figure 4.33 and Table 4.17 show the response of both areas due to a reasonable change in load that is equal between both systems. The tie-line power change between both areas is shown in Figure 4.34. For this case, the response is within the required criteria for the undershoot, the settling time and the steady state error. The settling time is close to the required range due to the limitation of the fuzzy logic controller as there is a maximum improvement that could occur after the application of the controller. Even with the PI case it has been shown that neither the undershoot nor the settling time could be met even with many iterations in the optimization process. This is because the nature of the controller itself can only help improve a certain system to a certain extent. However, the enhancement that the FL controller provided to the system is obvious in comparison with PI controllers.
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Hybrid Fuzzy Control System for Power Control of Grid Connected PV System

Hybrid Fuzzy Control System for Power Control of Grid Connected PV System

Department of Electrical & Electronics Engineering, Mallareddy, Engineering College, maisammaguda; Hyderabad (Dt); T elangana, India. Abstract- The penetration of renewable energy in modern power system, Microgrid has become a popular application worldwide. In this concept bidirectional converters for AC and DC hybrid Microgrid application are proposed as an efficient interface. To reach the goal of bidirectional power conversion, both rectifier and inverter modes are analyzed.

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Grid Connected Pv System With Reactive Power Control By Using Fuzzy Controller

Grid Connected Pv System With Reactive Power Control By Using Fuzzy Controller

Recently , the photovoltaic power era system has been engaged as a standout amongst the most noteworthy energy sources because of the rising worry about an Earth-wide temperature boost, and the expansion of electrical power utilization. What's more, the PV module has no moving parts, which have made it extremely powerful, long lifetime and low upkeep gadget. Despite the fact that the PV module is as yet costly, however because of the huge scale manufacturing it has turned out to be progressively less expensive over the most recent couple of years. It has been accounted for in that the point of reference of 100GW introduced PV power everywhere throughout the world was achieved toward the finish of 2012 and expanded to 140GW toward the finish of 2013, and the larger part were grid associated. Consequently, an expectation has been made in that the future grid tied PV system will assume an imperative part in the direction of the conventional power system.
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Implementation of Fuzzy Logic Controller for PV Interfaced Grid Connected PBT Based DSTATCOM for Real and Reactive Power Control

Implementation of Fuzzy Logic Controller for PV Interfaced Grid Connected PBT Based DSTATCOM for Real and Reactive Power Control

Principal and Professor, Department of Electrical &Electronics Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India 3 ABSTRACT: In this paper Fuzzy logic controller for PV Interfaced Grid connected PBT (Power Balance Theory) based DSTATCOM (Distribution Static Compensator) for real and reactive power control is elaborated and implemented using β€˜Simpowersystem’ block sets of MATLAB. Distribution system has poor power quality due to drastic increase in real and reactive power demand due to industrial as well as agricultural loads in distribution system, which has resulted in insufficient active and reactive power at load end. DSTATCOM is promising shunt connected custom power device for mitigating the power quality issues. For mitigation of active power demand at load end distributed power generation such as PV generation system is interfaced with the grid through boost converter and two level voltage source converters. In this paper Fuzzy logic controller is used for stabilization of DC link capacitor voltage. Simulation is done for implementation of proposed controller for reactive power control and performance is investigated over conventional controllers for UPF mode of operation i.e., Reactive power flow control. The simulation results shows that fuzzy logic control provides better system response and reactive power control over PI controller.
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Design of Fuzzy Logic Controller for a PV Grid Connected Two Area Load Frequency Control System

Design of Fuzzy Logic Controller for a PV Grid Connected Two Area Load Frequency Control System

Β© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1848 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In this paper, a PV grid connected two-area load frequency control system with 45% penetration level is presented. The model of the two-area system is introduced and the system frequency errors due to various cases of load changes are studied in this PV connected power grid. The design of appropriate and effective fuzzy logic controller (FLC) is presented to regulate those errors to keep the system response within the required specifications: settling time less than 3s, undershoot less than 0.02 Hz and steady state error equal to zero. The system response due to FLC is also compared to that due to the conventional PI controller designed for the same system.
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Aircraft Yaw Control System using LQR and
Fuzzy Logic Controller

Aircraft Yaw Control System using LQR and Fuzzy Logic Controller

3.2 Fuzzy Logic Controller (FLC) The concept of Fuzzy Logic Controller (FLC) was conceived by LotfiZadeh, a professor at the University of California at Berkley, and presented not as a control methodology, but as a way of processing data by allowing partial set membership rather than crisp set membership or non-membership. This approach to set theory was not applied to control systems until the 70's due to insufficient small-computer capability prior to that time. Professor Zadeh reasoned that people do not require precise, numerical information input, and yet they are capable of highly adaptive control. If feedback controllers could be programmed to accept noisy, imprecise input, they would be much more effective and perhaps easier to implement. In this context, FLC is a problem-solving control system methodology that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstation-based data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FLC provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information. FLC's approach to control problems mimics how a person would make decisions, only much faster. When idea of fuzzy logic is applied to control, it is generally called as ' fuzzy control. Fuzzy control is the first ever applicationknown to which fuzzy logic is applied. The fuzzy controller is composed of four elements. These are fuzzification, rule base, inference mechanism and defuzzification. A block diagram of a fuzzy control system is shown in Fig. 3
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Control of Single Phase Micro sources in a Utility Connected Grid by using FUZZY LOGIC

Control of Single Phase Micro sources in a Utility Connected Grid by using FUZZY LOGIC

The Fuzzy logic controller (FLC) is used as controller in the proposed model. The Fuzzy Logic tool was introduced I 1965, also by Lotfi Zadeh, and is a mathematical tool for dealing with uncertainty. T offers to a soft computing partnership the important concept of computing with words”. It provides a technique to deal with imprecision and information granularity. The fuzzy theory provides a mechanism for representing linguistic constructs such as β€˜many’ , β€˜low’ β€˜medium’ ’often’ β€˜few’. In general the fuzzy logic provides as inference structure that enables appropriate human reasoning capabilities. In fuzz logic basic control is determined by a set of linguistic rules which are determined by the system. Since numerical variables are converted into linguistic variables, mathematical modeling of system is not required. The fuzzy logic control is being proposed for controlling the inverter action. FLC is a new addition to control theory and it incorporates a simple, rule based IF X AND Y THEN Z approach to a solving control problem rather than attempting to a model a system mathematically.
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Active Power Control For A Single-Phase Grid-Connected PV System

Active Power Control For A Single-Phase Grid-Connected PV System

Active Power Control For A Single-Phase Grid- Connected PV System Dalia H Al_Maamoury, Muhamad Bin Mansor, Ali Assim Al_Obaidi Abstract: - This research presents a simulation modelling for the development of active power control for photovoltaic single-phase inverter grid- connected system. The inverter system model and its control strategies are carried out in MATLAB/SIMULINK environment, utiliz ing SPWM with bipolar switching scheme signals for switching inverter devices (IGBTs) to generate (50Hz) pure sine wave. Fuzzy logic controller is used to regulate the active power flow for both modes of operations namely isolated and grid-connected mode according to the load power demand. The inverter provides power not only to the local loads but also feeds the available excess power to the grid. The simulation was carried out to facilitate the real PV power transfer to the local loads and grid. With the excellent results of 2.07% in the total harmonic distortion (THD) of output voltage, suggests that the proposed control system exhibits a good performance. The simulation results waveforms such as AC output voltages, current and system power flo w are presented to validate the efficacy of the control system.
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Model of Grid connected PV Power Generation Inverter Control System

Model of Grid connected PV Power Generation Inverter Control System

mdeshmukh13@yahoo.com 1 ,manishakhardenvis@rediffmail.com 2 ,jape.vasant@rediffmail.com 3 Abstractβ€” This paper presents the experimental model of grid connected PV power generation inverter control system. On the basis of experimental study of power output side of photovoltaic grid connected generator system, the effectiveness of improved PWM inverter control method is analyzed. Considering the result of experiments, a single phase grid connected Improved PWM inverter control system is designed. The result of the simulations performed using MATLAB/SIMULINK software shows that the improved PWM inverter control system can effectively control the grid current sine waveform using the less computationally demanding harmonic suppression technique. It can achieve the maximum power point tracking. The simulations are performed for a 10 volts system and after analyzing the simulation results, the system is implemented in hardware. After the comparison of simulation model and actual hardware for 10 volts system we implemented the system for 1000 volts. The proposed hardware is able to put the arbitrary power out to the load or to the grid to maintain the stability and reliability of the power system.
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Fuzzy Logic Control for the tracking of maximum power point of a PV system

Fuzzy Logic Control for the tracking of maximum power point of a PV system

A photovoltaic generator can operate over a wide range of voltage and current output, but in case you want to maximize the energy produced (connected to UPS, battery charger), it is interesting to include a search of maximum power point in converters [1]. In fact the I (V) depend on the solar irradiance and temperature. These climatic variations result in fluctuations in the maximum power point. Because of these fluctuations, it often inserts one or more controlled static converters for the furtherance of the maximum power point. These commands are known

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Fuzzy Logic Control of Wind Turbine Storage System Connected to the Grid Using Multilevel Inverter

Fuzzy Logic Control of Wind Turbine Storage System Connected to the Grid Using Multilevel Inverter

Ali Berboucha, Kamel Djermouni, Kaci Ghedamsi, Djamal Aouzellag Laboratoire de Maitrise des Γ‰nergies Renouvelables, FacultΓ© de Technologie, University of Bejaia. Algeria b.ali06@hotmail.fr Abstract – This paper aimed to evaluate the use of wind turbine storage systems to provide electricity in the electrical grid through a five-level inverter. The proposed system is composed of four wind turbine generators based on permanent magnet synchronous generator (PMSG), four battery storage systems connected to each capacitor of the DC link and a five level diode clamped inverter connected to the grid by three phase transformer. The control algorithm proposed is based on fuzzy logic to tracks and extract the maximum wind power by controlling the rotational speed of wind turbine, which is most appropriate when there is a lack of information on the characteristic C p (Ξ», Ξ²) of the turbine. The system operator controls the power production of the four wind turbine generators by sending out reference power signals to each input side regulation unit, the input side regulation units regulate the voltage of each capacitor of the DC link, regulate the voltage and the state of charge of each battery storage system. The inverter is controlled by simplified space vector modulation which allows us to reduce the computational time and reduce the algorithm complexity compared to the conventional five levels space vector modulation, the grid side control level regulate the power and the current injected to the grid.
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Enhancement of High-order vector control strategy for LCL Filter Based Grid-Connected PV system by Using Fuzzy Logic Controller

Enhancement of High-order vector control strategy for LCL Filter Based Grid-Connected PV system by Using Fuzzy Logic Controller

A photovoltaic system, also PV system or solar power system is a power system designed to supply usable solar power by means of photovoltaics. It consists of an arrangement of several components, including solar panels to absorb and convert sunlight into electricity, a solar inverter to change the electric current from DC to AC, as well as mounting, cabling and other electrical accessories to set up a working system. It may also use a solar tracking system to improve the system's overall performance and include an integrated battery solution, as prices for storage devices are expected to decline. Strictly speaking, a solar array only encompasses the ensemble of solar panels, the visible part of the PV system, and does not include all the other hardware, often summarized as balance of system (BOS). Moreover, PV systems convert light directly into electricity and shouldn't be confused with other technologies, such as concentrated solar power or solar thermal, used for heating and cooling.
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Control of Grid Connected PV Systems With Grid Support Functions

Control of Grid Connected PV Systems With Grid Support Functions

β€’ dSPACE 1103 control system β€’ CLIB 4 The control of the PV inverter is made through the Interface and Protection Card (IPC2) of the dSPACE system. The PC connected to the dSPACE holds the CLIB which can access the desired parameters. Additional functions for the inverter were implemented in the CLIB application. First, a grid check will be performed, which consists of reading the value from dSPACE of the grid voltage magnitude. If the value is within a specific range the application will proceed, otherwise it will wait for the grid. Next, a function to reset the PLL is made and one to check whenever the inverter has tripped. In case of trip, the inverter will be reset with the corresponding function. If no problems occurred so far, the application continues with the inverter start function. Signals and parameters are read from the dSPACE processor board using the CLIB functions. In this case, the grid voltage/ current/ power and DC voltage/ current/ power are read to gather information to monitor the PV system.
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Advanced power control strategy in grid connected PV systems for constant power generation

Advanced power control strategy in grid connected PV systems for constant power generation

Advanced power control strategy in grid connected PV systems for constant power generation S.R.S.Akhila & Y.Manasa Abstract - Each solar cell has a voltage-current (V-I) characteristic reflecting its response to both temperature and the incident light level. This is generally achieved using the algorithmic method for continuous maximum power point tracking (MPPT) i.e. the product between Voltage and Current shall be maximum. This can also ensure a fast and smooth transition between maximum power point tracking and Constant Power Generation (CPG). Regardless of the solar irradiance levels, high-performance and stable operation are always achieved by the proposed control strategy. It can regulate the PV output power according to any set-point, and force the PV systems to operate at the left side of the maximum power point without stability problems.
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Grid-Connected Pv-Fc Hybrid System Power Control Using  Mppt And Boost Converter

Grid-Connected Pv-Fc Hybrid System Power Control Using Mppt And Boost Converter

The advantage of high frequency circuits is that they can be designed with very high efficiency transformers and small components. Some MPPTs are more rapid and accurate and thus more impressive which need special design and familiarity with specific subjects such as fuzzy logic or neural network methods. MPPT fuzzy logic controllers have good performance under varying atmospheric conditions and exhibits better performance in contrast with P&O control method [11]; however the main disadvantage of this method is that its effectiveness is highly dependent on the technical knowledge of the engineer in computing the error and coming up with the rule base table. It is greatly dependant on the how designer arranges the system which requires skill and experience.
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Control of Grid Connected PV Inverter using LMF Adaptive Method

Control of Grid Connected PV Inverter using LMF Adaptive Method

Keywords: LMF, Photovoltaic, SRFT I. INTRODUCTION Demand for clean, economical, and renewable energy has increased consistently over the past few decades. Among a variety of renewable energy resources available, solar energy appears to be a major contender due to its abundance and pollution-free conversion to electricity through photovoltaic (PV) process. Increasing interest in PV systems, demands growth in research and development activities in various aspects such as Maximum Power Point Tracking (MPPT), PV arrays, anti-islanding protection, stability and reliability, power quality and
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Power Angle Control Scheme for Integration of UPQC In Grid Connected PV System

Power Angle Control Scheme for Integration of UPQC In Grid Connected PV System

The shunt active power filter is the most corrective measure to remove the current related problems, power factor improvement by supplying reactive power and regulates DC link voltage. The series APF acts as controlled voltage source and corrects voltage related problems, like sag or swell, flickering, harmonics, etc.,. As a combination of both of these, UPQC improves service reliability. In the present work, shunt inverter control is based on modified active- reactive (p-q) power theory, uses High selectivity filter (HSF) for reference current generation. The series APF uses Power Angle Control (PAC) scheme for compensating sag/swell, interruption and voltage related problems along with sharing a part of load reactive power demand with shunt APF and thus ease its loading and makes the utilization of UPQC to be optimal. The topology uses three phase three leg inverters for both shunt APF and series APF. The gating signals were generated using Hysteresis controller. The output of High step-Up DC-DC Converter is used to work as DC voltage source for both APFs.
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A Control Strategy in Power Management for a Grid Connected PV-FC Hybrid System

A Control Strategy in Power Management for a Grid Connected PV-FC Hybrid System

This is the table of prefixed scales, which indicates the β€œlocation” of the peak power point A perturb and observe method is employed in the project due to the easy manipulation of the module and more importantly, low power loss through the process. The IncCond method only offers little improvement over the P&O method underslowly changing atmospheric conditions. Different modules and schemes have been usedto implement peak power point tracking using a microcontroller. One of those techniques which are often used is one that based on the dP/dVmethod . Other methods include heavy mathematical calculation and modeling . Due to the lack of resource on the PIC microcontroller and the complexity in programming, mathematical modeling method is not recommended. On the other hand, dP/dV method offers simpler design and quickerresponse as well as a stable solution. Therefore it is used in this work. It also offers several other useful features such as good steady state and transient response, flexibility in the control algorithm.
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Control of Thermal Power System Using Adaptive Fuzzy Logic Control

Control of Thermal Power System Using Adaptive Fuzzy Logic Control

71 Chapter 5: Conclusion and future work 5.1 Conclusion In this thesis, uncontrolled/open loop and controlled/closed loop single area, two area, and three area LFC system were considered. The system inputs, Δ𝑃𝑃 𝑑𝑑𝑖𝑖 , were the disturbances experienced by each control area. The system outputs were the frequency deviation, Δ𝑓𝑓 𝑖𝑖 , of each area and tie-line power exchange, Δ𝑃𝑃 𝑑𝑑𝑖𝑖𝑑𝑑,𝑖𝑖𝑖𝑖 . Tie-line power exchange was used to interconnect the control areas when the LFC system consisted of more than one area. In chapter 2, appropriate conventional PID control was selected for each area and tuning of the control parameters was done manually to ensure the required specifications are met. In chapter 2, it was noticed that controlling systems with uncertain and unpredictable behavior such as power systems is a challenging task and a more efficient and reliable type of control was needed to control the system. In chapter 3, adaptive FL control was combined with conventional PID control to improve the system output performance. FL controls are well suited to control time-variant systems without the need to know accurate mathematical modelling of the system. FL uses FL base rules to predict the system output based on some knowledge about the nature of the system.
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Control of Thermal Power System Using Adaptive Fuzzy Logic Control

Control of Thermal Power System Using Adaptive Fuzzy Logic Control

71 Chapter 5: Conclusion and future work 5.1 Conclusion In this thesis, uncontrolled/open loop and controlled/closed loop single area, two area, and three area LFC system were considered. The system inputs, Δ𝑃𝑃 𝑑𝑑𝑖𝑖 , were the disturbances experienced by each control area. The system outputs were the frequency deviation, Δ𝑓𝑓 𝑖𝑖 , of each area and tie-line power exchange, Δ𝑃𝑃 𝑑𝑑𝑖𝑖𝑑𝑑,𝑖𝑖𝑖𝑖 . Tie-line power exchange was used to interconnect the control areas when the LFC system consisted of more than one area. In chapter 2, appropriate conventional PID control was selected for each area and tuning of the control parameters was done manually to ensure the required specifications are met. In chapter 2, it was noticed that controlling systems with uncertain and unpredictable behavior such as power systems is a challenging task and a more efficient and reliable type of control was needed to control the system. In chapter 3, adaptive FL control was combined with conventional PID control to improve the system output performance. FL controls are well suited to control time-variant systems without the need to know accurate mathematical modelling of the system. FL uses FL base rules to predict the system output based on some knowledge about the nature of the system.
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