Battery Aware Dynamic Scheduling for Periodic Task Graphs
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1. The document discusses battery-aware dynamic scheduling for periodic task graphs to maximize battery lifetime in embedded systems. 2. It proposes a methodology that combines a good dynamic voltage scaling algorithm with a priority function to schedule task graphs in a battery-efficient manner. 3. Simulations show the methodology performs up to 47% better than existing approaches in terms of battery lifetime.
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Economic growth with industrialization and urbanization lead to an extensive increase in power demand. It forced the utilities to add power generating facilities to cause the necessary demand-generation balance. The bulk power generating stations, mostly interconnected, with the penetration of distributed generation result in an enormous rise in the fault level of power networks. It necessitates for electrical utilities to control the fault current so that the existing switchgear can continue its services without upgradation or replacement for reliable supply. The deployment of fault current limiter (FCL) at the distribution and transmission networks has been under investigation as a potential solution to the problem. A saturated core fault current limiter (SCFCL) technology is a smart, scalable, efficient, reliable, and commercially viable option to manage fault levels in existing and future MV/HV supply systems. This paper presents the comparative performance analysis of two single-core SCFCL topologies impressed with different core saturations. It has demonstrated that the single AC winding configuration needs more bias power for affecting the same current limiting performance with an acceptable steady-state voltage drop contribution. The fault state impedance has a transient nature, and the optimum bias selection is a critical design parameter in realizing the SCFCL applications.
IRJET- Study Over Current Relay (MCGG53) Response using Matlab Model
This document describes a study of overcurrent relay response using MATLAB modeling. It presents the design of a MATLAB GUI to model various overcurrent relay characteristics and determine relay parameters. The study then examines coordination of overcurrent relays on a system by determining the time multiplier setting, plug setting, and operating time of different relays to ensure selectivity without sacrificing sensitivity or fault clearance time. Simulation results show the operating times vary according to the relay characteristics, with extremely inverse having the shortest time followed by very inverse and standard inverse. Proper coordination of these relay characteristics is important for protection.
Power system operation considering detailed modelling of the natural gas supp...
The energy transition from fossil-fuel generators to renewable energies represents a paramount challenge. This is mainly due to the uncertainty and unpredictability associated with renewable resources. A greater flexibility is requested for power system operation to fulfill demand requirements considering security and economic restrictions. In particular, the use of gas-fired generators has increased to enhance system flexibility in response to the integration of renewable energy sources. This paper provides a comprehensive formulation for modeling a natural gas supply network to provide gas for thermal generators, considering the use of wind power sources for the operation of the electrical system over a 24-hour period. The results indicate the requirements of gas with different wind power level of integration. The model is evaluated on a network of 20 NG nodes and on a 24-bus IEEE RTS system with various operative settings during a 24-hour period.
Run-time power management in cloud and containerized environments
With the rise of containerization, as well as the established adoption of virtualization technologies, run-time power and energy management is becoming one of the key challenges in modern cloud computing. This is also fundamental as power consumption contributes to the 20% of the Total Cost of Ownership of a datacenter and energy costs will exceed hardware costs in the near future. In this context, several goals towards power optimization can be achieved. On the one hand, power capping can be enforced and on top of that the system should be able to maximize performance. On the other hand, when performance are critical, the system should be able to provide a minimum SLA and optimize power consumption without violating it. Within this context, we propose a common autonomic methodology based on the ODA control loop for containers and virtual machines. The proposed methodology is able to achieve 25% power savings for containers and can improve performance under a power cap for virtual machines.
Graphical Closure Rules for Unsupervised Load Classification in NILM Systems
The document describes an unsupervised method for load classification in non-intrusive load monitoring (NILM) systems. The method involves 5 steps: (1) clustering raw energy data into steady states and transitions, (2) constructing a graph of states and transitions, (3) detecting cycles in the graph to define closure rules, (4) simplifying rules to reveal basic two-transition rules indicating loads, and (5) mapping loads to steady states by traversing from a minimum power node. The method was developed by researchers at LoadIQ to classify loads without requiring labeled training data.
EH-WSN
This document provides a summary of a student's master's thesis that compares different medium access control (MAC) techniques for energy harvesting wireless sensor networks. The student models the performance of a sensor network using random access and time-division multiple access (TDMA) MAC protocols. The modeling accounts for factors like the intermittent nature of energy harvesting, limited battery capacity, and packet arrival patterns. The random access protocol allows nodes to transmit randomly, while the TDMA protocol assigns dedicated time slots to nodes. The thesis presents the system models and implementation details of simulating the two MAC protocols using MATLAB.
The gravitational search algorithm for incorporating TCSC devices into the sy...
This paper proposes a gravitational search algorithm (GSA) to allocate the thyristor-controlled series compensator (TCSC) incorporation with the issue of reactive power management. The aim of using TCSC units in this study is to minimize active and reactive power losses. Reserve beyond the thermal border, enhance the voltage profile and increase transmission-lines flow while continuing the whole generation cost of the system a little increase compared with its single goal base case. The optimal power flow (OPF) described is a consideration for finding the best size and location of the TCSCs devices seeing techno-economic subjects for minimizing fuel cost of generation units and the costs of installing TCSCs devices. The GSA algorithm's high ability in solving the proposed multi-objective problem is tested on two 9 and 30 bus test systems. For each test system, four case studies are considered to represent both normal and emergency operating conditions. The proposed GSA method's simulation results show that GSA offers a practical and robust highquality solution for the problem and improves system performance.
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...
In the present paper, an efficient and performant nonlinear regulator is designed for the control of the pulse width modulation (PWM) voltage inverter that can be used in a standalone photovoltaic microgrid. The main objective of our control is to produce a sinusoidal voltage output signal with amplitude and frequency that are fixed by the reference signal for different loads including linear or nonlinear types. A comparative performance study of controllers based on linear and non-linear techniques such as backstepping, sliding mode, and proportional integral derivative (PID) is developed to ensure the best choice among these three types of controllers. The performance of the system is investigated and compared under various operating conditions by simulations in the MATLAB/Simulink environment to demonstrate the effectiveness of the control methods. Our investigation shows that the backstepping controller can give better performance than the sliding mode and PID controllers. The accuracy and efficiency of the proposed backstepping controller are verified experimentally in terms of tracking objectives.
Heuristic remedial actions in the reliability assessment of high voltage dire...
Planning of high voltage direct current (HVDC) grids requires inclusion of reliability assessment of alternatives under study. This paper proposes a methodology to evaluate the adequacy of voltage source converter/VSCHVDC networks. The methodology analyses the performance of the system using N-1 and N-2 contingencies in order to detect weaknesses in the DC network and evaluates two types of remedial actions to keep the entire system under the acceptable operating limits . The remedial actions are applied when a violation of these limits on the DC system occurs; those include topology changes in the network and adjustments of power settings of VSC converter stations. The CIGRE B4 DC grid test system is used for evaluating the reliability/adequacy performance by means of the proposed methodology in this paper. The proposed remedial actions are effective for all contingencies; then, numerical results are as expected. This work is useful for planning and operation of grids based on VSC-HVDC technology.
Controller design for PV experimental bench with ADRC strategy supervised by ...
Controller design for PV experimental bench with ADRC strategy supervised by ...International Journal of Power Electronics and Drive Systems
This document presents a controller design for a photovoltaic (PV) experimental bench using an active disturbance rejection control (ADRC) strategy supervised by a Labview created interface. A boost converter circuit is modeled, simulated in Power Simulator and Matlab Simulink, and implemented on an Arduino microcontroller board to maximize power extraction from a PV panel. Current and voltage sensors provide feedback to the ADRC controller, which adjusts the boost converter duty cycle. Simulation results show good agreement with experimental performance in terms of efficiency and robustness to changing conditions. A graphical user interface created in Labview allows real-time operation and supervision of the system.A charge recycling three phase dual rail pre charge logic based flip-flop
This document presents a charge recycling three-phase dual-rail pre-charge logic (CRTDPL) flip-flop design that aims to lower power consumption compared to traditional three-phase dual-rail pre-charge logic (TDPL). The CRTDPL inverter recycles charge stored at one output node during evaluation to partially charge the other output node in pre-charge, lowering power drawn from the supply. Simulation results show the CRTDPL inverter consumes up to 60% less power than a TDPL inverter. A CRTDPL flip-flop was also designed using two CRTDPL inverters and tested, showing around 50% lower power consumption than a TDPL flip
Parametric estimation in photovoltaic modules using the crow search algorithm
The problem of parametric estimation in photovoltaic (PV) modules considering man- ufacturer information is addressed in this research from the perspective of combinatorial optimization. With the data sheet provided by the PV manufacturer, a non-linear non-convex optimization problem is formulated that contains information regarding maximum power, open-circuit, and short-circuit points. To estimate the three parameters of the PV model (i.e., the ideality diode factor (a) and the parallel and series resistances (R p and R )), the crow search algorithm (CSA) is employed, which is a metaheuristic optimization technique inspired by the behavior of the crows searching food deposits. The CSA allows the exploration and exploitation of the solution space through a simple evolution rule derived from the classical PSO method. Numerical simulations reveal the effectiveness and robustness of the CSA to estimate these parameters with objective function values lower than 1 10 s 28 and processing times less than 2 s. All the numerical simulations were developed in MATLAB 2020a and compared with the sine-cosine and vortex search algorithms recently reported in the literature.
Ijartes v2-i4-001
1) The document presents a framework for automatic generation control (AGC) in a two-area restructured power system with non-linear governor characteristics, including hydro-hydro systems.
2) It models the addition of a frequency stabilizer equipped with an energy storage system to stabilize frequency and tie-line power oscillations under disturbances.
3) The gains of controllers and parameters of the stabilizer are optimized using genetic algorithms. Simulations show the response of the optimized load frequency controller under different transactions in the restructured electricity market.
The Power Quality Improvement in the Modes of Operation for Microgrid with UPQC
This document discusses improving power quality in microgrid systems with unified power quality conditioners (UPQC). It proposes a new configuration and control method for UPQC in distributed generation-based microgrid systems called UPQCμG-IsDRT. The UPQCμG-IsDRT incorporates intelligent islanding detection and reconnection techniques to allow seamless transfer of power between grid-connected and island modes of operation. Simulation results showed the fuzzy logic-based controller of the UPQCμG-IsDRT provided better performance than a UPQC controller alone. The document also reviews existing literature on microgrids and power quality improvement devices like UPQC, and analyzes the control design of the proposed UPQCμG-Is
What's hot (20)
Comparison of cascade P-PI controller tuning methods for PMDC motor based on ...
Comparison of cascade P-PI controller tuning methods for PMDC motor based on ...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Modified T-type topology of three-phase multi-level inverter for photovoltaic...
Non-integer IMC Based PID Design for Load Frequency Control of Power System t...
Non-integer IMC Based PID Design for Load Frequency Control of Power System t...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Artificial Intelligence Technique based Reactive Power Planning Incorporating...
Model Predictive Current Control of a Seven-phase Voltage Source Inverter
Model Predictive Current Control of a Seven-phase Voltage Source Inverter
Decentralised PI controller design based on dynamic interaction decoupling in...
Decentralised PI controller design based on dynamic interaction decoupling in...
Single core configurations of saturated core fault current limiter performanc...
Single core configurations of saturated core fault current limiter performanc...
IRJET- Study Over Current Relay (MCGG53) Response using Matlab Model
IRJET- Study Over Current Relay (MCGG53) Response using Matlab Model
Power system operation considering detailed modelling of the natural gas supp...
Power system operation considering detailed modelling of the natural gas supp...
Run-time power management in cloud and containerized environments
Run-time power management in cloud and containerized environments
Graphical Closure Rules for Unsupervised Load Classification in NILM Systems
Graphical Closure Rules for Unsupervised Load Classification in NILM Systems
The gravitational search algorithm for incorporating TCSC devices into the sy...
The gravitational search algorithm for incorporating TCSC devices into the sy...
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...
Comparison of backstepping, sliding mode and PID regulators for a voltage inv...
Heuristic remedial actions in the reliability assessment of high voltage dire...
Heuristic remedial actions in the reliability assessment of high voltage dire...
Controller design for PV experimental bench with ADRC strategy supervised by ...
Controller design for PV experimental bench with ADRC strategy supervised by ...
A charge recycling three phase dual rail pre charge logic based flip-flop
A charge recycling three phase dual rail pre charge logic based flip-flop
Parametric estimation in photovoltaic modules using the crow search algorithm
Parametric estimation in photovoltaic modules using the crow search algorithm
The Power Quality Improvement in the Modes of Operation for Microgrid with UPQC
The Power Quality Improvement in the Modes of Operation for Microgrid with UPQC
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Circular barcode design resistant to linear motion blur (preliminary slides)
It is hard to recognize markers from a moving camera, because of motion blur. Our circular barcode design allows fairly stable recognition even with linear motion blur. Each circular barcode can contain 9 bits of data. We developed an algorithm that recognizes barcodes at 30 frames/sec from 1080P video, utilizing GPGPU.
Wireless sensor networks
sensors are what we experience the most in our life. they are even working in our body in different aspects. they may be as eyes, ears, skin, tongue etc. when we combine them they make a network. it may be a human sensor network. but i have shared something interesting about wireless sensor networks.
Energy conservation in wireless sensor networks
The document discusses energy conservation techniques in wireless sensor networks. It begins with an introduction to wireless sensor networks and identifies power consumption as a major challenge. It then outlines the typical architecture of a wireless sensor node and examines the power breakdown across different components. The document proceeds to discuss basic approaches to energy conservation, including duty cycling, data-driven, and mobility-based techniques. It also mentions future work in integrating different approaches into a single solution and addresses questions.
Vendula Hejlová - Wireless sensor network components for monitoring air pollu...
The document discusses the selection of components for a wireless sensor network to monitor air pollution in an urban environment. It outlines criteria for selecting sensor network nodes, including 8 groups of criteria related to sensors, communication, energy, environmental resistance, technical aspects, expansion options, physical parameters, and price. 25 total criteria are identified and weighted based on their importance. The document then provides an example wireless sensor network implementation in Olomouc, Czech Republic, establishing requirements for monitoring various air pollutants using 15 sensor nodes. Finally, potential sensor node options are analyzed according to the outlined criteria.
Basic Architecture of Wireless Sensor Network
The document discusses software architecture design considerations for wireless sensor networks. It examines four key characteristics of wireless sensor networks that impact software architecture: self-organization, cooperative processing, energy efficiency, and modularity. It then describes common components of service-oriented wireless sensor network architectures, including sensor applications, node applications, network applications, and middleware. Finally, it analyzes two proposed software architectures and how they address the requirements of wireless sensor networks.
Wireless sensor network -a zone based approach
This document proposes an energy efficient approach for wireless sensor networks (WSNs) based on zone formation rather than clustering. It involves grouping nodes into zones based on the number of hops to an inviting node, with each zone having a maximum radius R. The algorithm constructs zones virtually by exchanging invitation packets. Nodes track their zone ID and type (normal or border). Border nodes store information about neighboring zones. Experimental results show the approach reduces energy consumption by decreasing unnecessary transmissions compared to other protocols.
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Circular barcode design resistant to linear motion blur (preliminary slides)
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The reduction in energy consumption without any deadline miss is one of the main challenges in real-time embedded systems. Dynamic voltage scaling (DVS) is a technique that reduces the power consumption of processors by utilizing various operating points provided to the DVS processor. These operating points consist of pairs of voltage and frequency. The selection of operating points can be done based on the load to the system at a particular point of time. In this work DVS is applied to both periodic and sporadic tasks, and an average of 40% of energy is reduced. The energy consumption of the processor is further reduced by 2-10% by reducing the number of pre-emption and frequency switching
Selection of Passive Component for Cockroft Walton Voltage Multiplier: A Low ...
This document summarizes a research paper on selecting passive components for a Cockroft-Walton voltage multiplier circuit to generate high voltages for educational laboratories. It describes criteria for selecting the number of stages, capacitors, and diodes in the circuit based on the required output voltage and allowable ripple. Simulation results show the effect of these selections on ripple voltage at different stages. The selection approach aims to minimize ripple at the final stage by reducing it at earlier stages, requiring non-equal capacitor values. This circuit can generate up to 100kV for laboratory experiments in a low-cost manner.
Modeling Simulation and Design of Photovoltaic Array with MPPT Control Techni...
The Renewable energy is important part of power generation system due to diminution of fossils fuel. Energy production from photovoltaic (PV) is widely accepted as it is clean, available in abundance, & free of cost. This paper deals with modeling of PV array including the effects of temperature and irradiation. The DC-DC converter is used for boosting low voltage of the PV array to high DC voltage. Since the efficiency of a PV array is around 13% which is low, it is desirable to operate the module at the peak power point to improve the utilization of the PV array. A maximum power point tracker (MPPT) is used for extracting the maximum power from the solar PV array and transferring that power to the load. To track maximum power point (MPP) Perturb & Observe (P & O) algorithm is used which periodically perturbs the array voltage or current and compare PV output power with that of previous perturbation cycle which controls duty cycle of DC-DC converter. The entire system is simulated in MATLAB /SIMULINK and simulation results are presented.
Multi-Objective Aspects of Distribution Network Volt-VAr Optimization
This document discusses multi-objective optimization approaches for distribution network volt-var optimization (VVO). It presents two common multi-objective optimization techniques: the e-constraint method and weighted-sum method. The e-constraint method optimizes one objective function while setting the other objectives as constraints. The weighted-sum method assigns weighting coefficients to each objective and minimizes their sum. The document demonstrates these methods on a test distribution feeder with controllable capacitor banks and a solar farm, seeking to optimize both active and reactive power.
Implementation of RTOS on STM32F4 Microcontroller to Control Parallel Boost f...
The DC-DC converter is operated with pulse width modulation (PWM) and controlled by modifying duty cycle.
The PWM is easy developed on microcontroller system, but the problem become complex when some control
algorithm implemented to determine duty cycle value. Multitasking is needed to handle sensor, control algorithm
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This second OS task is task implemented to control second boost converter. The measurement of current and
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A Review of Analysis and Modeling of Grid Connected Three Phase Multilevel Un...
This document reviews a five-level multiple-pole structure for a grid connected three phase multilevel unity power rectifier that aims to improve power factor and reduce total harmonic distortion using fewer components. The proposed design is a five-level/multiple-pole multilevel unity power factor rectifier that achieves unity power factor and input current shaping with a reduced number of components. It uses a simple control method based on average current control at a low switching frequency to compensate for grid current harmonics. Simulation results show the design has better dynamic response and tracking under unbalanced grid conditions compared to other existing rectifier topologies.
Dvfs nima-afraz
This document discusses Dynamic Voltage and Frequency Scaling (DVFS) and a novel DVS-EDF scheduling algorithm for multi-core embedded real-time systems. DVFS allows dynamic adjustment of processor frequency and voltage to conserve power. The proposed DVS-EDF algorithm uses Earliest Deadline First scheduling and DVFS to guarantee task deadlines while improving energy efficiency over simple power-aware scheduling by up to 12%. It considers task utilization, critical frequency, and leakage power to minimize energy consumption within deadline constraints.
RT15 Berkeley | Optimized Power Flow Control in Microgrids - Sandia Laboratory
The document summarizes research on designing nonlinear controllers for microgrid systems with stochastic sources and loads. Key points include:
1) A secure scalable microgrid testbed was developed to experimentally test Hamiltonian surface shaping power flow controllers (HSSPFC).
2) Models of single and multiple DC microgrids were formulated to develop optimal operating points using a dynamic optimizer.
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A Review on Modeling and Analysis of Multi Stage with Multi Phase DC DC Boost...
A new version of the new Hybrid Boost DC DC ready to draw power from two different DC sources for standard DC bus feeds is presented in this paper. An important feature of the proposed converter is that both sources provide simultaneous power to a lower load than the reduced current rate. This feature is very attractive for DC grid applications. With the analysis of the time zone, steady state performance is established and the transformational power correction parameters are obtained. In this paper, a powerful converter is introduced, with its operating principles based on charging pumps and converters of reinforcement series. In addition, although three switches are used, no separate gate driver is required instead of one bridge gate driver and one gate driver on the lower side. As such, the proposed converter is easy to analyze and easy to operate. In addition, additional test results are provided to confirm the effectiveness of the proposed converter. Mukesh Kuma | Manoj Kumar Dewangan | Maheedhar Dubey "A Review on Modeling and Analysis of Multi Stage with Multi Phase DC-DC Boost Converter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39985.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/39985/a-review-on-modeling-and-analysis-of-multi-stage-with-multi-phase-dcdc-boost-converter/mukesh-kuma
Optimal load scheduling
1. The document discusses the process of electrical load scheduling which involves estimating the instantaneous electrical loads in a facility in terms of active, reactive, and apparent power.
2. The key steps in load scheduling include collecting a list of expected loads, determining each load's electrical parameters, classifying loads, calculating each load's consumed power, and determining the operating, peak, and design loads.
3. Load scheduling is important for equipment sizing and power system studies to understand a facility's preliminary load details and provide input for the unit commitment and economic load dispatch problems.
Universal Four Leg v4
Abstract- This paper presents a major revision of the Universal Four Leg ‘DC Grid Laboratory Experimental Setup’. This revision includes the reduction of current loops, the increase of efficiency in the power stage, the expansion of measurement possibilities and the re-specification of the input/output range.
To deal with an ever present complication in the world of measurements, simple fuse holders are converted into dedicated probe measurement connectors. These connectors reduce large ground loops to a minimum.
Key features include a clear board layout and silkscreen, a tremendous reduction of semiconductor losses resulting in a heatsink-less power stage and easy, reliable probe and power connections. Provisions are made for a Single Board Computer (SBC) to read and control the Universal Four Leg V4. The SBC can also be used to communicate with external devices to allow for remote control of the Universal Four Leg and the presentation of measurements performed.
The Universal Four Leg is a power management device with a wide range of applications in both higher educational laboratory courses, as well as a dedicated grid manager in low voltage DC-grids.
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
This document describes a microgrid system with distributed generators including solar panels, wind turbines, and a diesel generator. Energy storage devices like batteries and fuel cells are also included. Frequency control of the system is challenging due to varying renewable energy output. The document proposes using an Artificial Neuro-Fuzzy Inference System (ANFIS) controller to improve frequency control performance compared to conventional controllers like PI. MATLAB/Simulink models are developed to simulate the microgrid components and evaluate the ANFIS controller.
Modeling and simulation of three phases cascaded H-bridge grid-tied PV inverter
In this paper a control scheme for three phase seven level cascaded H-bridge inverter for grid tied PV system is presented. As power generation from PV depends on varing environmental conditions, for extractraction of maximum power from PV array, fuzzy MPPT controller is incorporated with each PV array. It gives fast and accurate response. To maintain the grid current
sinusoidal under varying conditions, a digital PI controller scheme is adopted. A MATLAB/Simulink model is developed for this purpose and results are presented. At last THD analysis is carried out in order to validate the performance of the overall system. As discussed, with this control strategy the balanced grid current is obtained keeping THD values with in the specified range of IEEE-519 standard.
IRJET-Power Quality Improvement by using CHB Inverter based DVR
This document discusses the design and analysis of a Dynamic Voltage Restorer (DVR) using a 7-level cascade H-bridge inverter to improve power quality. A DVR is a custom power device that injects voltage into the distribution system to regulate load voltage during sags or swells. This DVR employs a multilevel cascade H-bridge inverter which generates voltage waveforms with low harmonic distortion and connects directly to the network without a transformer. The performance of the DVR is analyzed in MATLAB and simulation results show it effectively compensates voltage sags and improves power quality for sensitive loads.
Design and Simulation of MPPT Algorithm for Three Phase Induction Motor Solar...
In this paper a three phase induction motor controller for a photovoltaic powered water pump without the use of chemical storage element is presented. The use of a three-phase induction motor is a better solution to the dc motor water pumping system. This system is use to achieve a more efficient, reliable, maintenance-free, and cheaper solution than that use dc motors or low-voltage synchronous motors. The developed system is based on a non inverting buck“boost converter and a full-bridge three-phase inverter. Maximum Power Point Tracking (MPPT) algorithm has been developed and implemented to maximize the use of solar power generated at any given instant. By using MATLAB/ Simulink model is implemented. The system is expected to have a high lifetime due to the inexistence of storage element. As a result, the system is a economical solution to deliver water to household, industrial and agricultural activities which require water supply. Swati Killedar | Dr. S. N. Patil | Prof. A. P. Kinge"Design and Simulation of MPPT Algorithm for Three Phase Induction Motor Solar Water Pump" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9682.pdf http://www.ijtsrd.com/engineering/electrical-engineering/9682/design-and-simulation-of-mppt-algorithm-for-three-phase-induction-motor-solar-water-pump/swati-killedar
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This document summarizes a genetic algorithm approach for solving the unit commitment problem in power systems. The unit commitment problem aims to schedule power generating units in a cost-effective way while satisfying operational constraints. The proposed approach uses a genetic algorithm with an intelligent coding scheme to represent the on/off status of generating units over time. It also uses annular crossover and mutation genetic operators. The algorithm was tested on standard test systems and showed improvements over other approaches in reducing costs and computational time for finding solutions.
P0450495100
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A Multilevel Inverter with MPPT Control for Drifting Analysis and Improved Po...
This document presents a voltage sensor-based maximum power point tracking (MPPT) control algorithm for a multilevel inverter photovoltaic system. The MPPT algorithm uses only the output voltage measurement to track the maximum power point and regulates the battery charge. Simulation results show that the algorithm achieves fast tracking of changes in solar irradiance and load variations. The paper also analyzes the steady-state behavior and drift phenomenon of the MPPT algorithm to evaluate tracking efficiency. A 15-level asymmetric cascaded H-bridge multilevel inverter topology is proposed to reduce output voltage harmonics and improve the voltage range from the PV array.
Reliability Constrained Unit Commitment Considering the Effect of DG and DR P...
Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79.
Design and implementation of a generator power sensor and shutdown timer
This document describes the design and implementation of a generator power sensor and shutdown timer. Key points:
1) A microcontroller (Atmega8) is used to control the timing operation and sense power restoration, making the circuit more compact, efficient and reliable compared to using discrete components.
2) The microcontroller is programmed in C language to control an LCD display, buttons, LEDs, buzzer, and relay for switching the generator.
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RT15 Berkeley | Optimized Power Flow Control in Microgrids - Sandia Laboratory
A Review on Modeling and Analysis of Multi Stage with Multi Phase DC DC Boost...
A Review on Modeling and Analysis of Multi Stage with Multi Phase DC DC Boost...
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
Modeling and simulation of three phases cascaded H-bridge grid-tied PV inverter
Modeling and simulation of three phases cascaded H-bridge grid-tied PV inverter
IRJET-Power Quality Improvement by using CHB Inverter based DVR
IRJET-Power Quality Improvement by using CHB Inverter based DVR
Design and Simulation of MPPT Algorithm for Three Phase Induction Motor Solar...
Design and Simulation of MPPT Algorithm for Three Phase Induction Motor Solar...
IRJET- A Genetic based Stochastic Approach for Solving Thermal Unit Commitmen...
IRJET- A Genetic based Stochastic Approach for Solving Thermal Unit Commitmen...
A Multilevel Inverter with MPPT Control for Drifting Analysis and Improved Po...
A Multilevel Inverter with MPPT Control for Drifting Analysis and Improved Po...
Reliability Constrained Unit Commitment Considering the Effect of DG and DR P...
Reliability Constrained Unit Commitment Considering the Effect of DG and DR P...
Design and implementation of a generator power sensor and shutdown timer
Design and implementation of a generator power sensor and shutdown timer
More from Nicolas Navet
In-Vehicle Networking : a Survey and Look Forward
N. Navet, "In-Vehicle Networking : a Survey and Look Forward", Workshop on Specialized Networks, in conjunction with ETFA 2009, Mallorca, Spain, September 26, 2009.
Automotive communication systems: from dependability to security
"Automotive communication systems: from dependability to security", talk at the 1st Seminar on Vehicular Communications and Applications (VCA 2011), Luxembourg, May 2011.
Mécanismes de protection dans AUTOSAR OS
N. Navet, H. Perrault, "Mécanismes de protection dans AUTOSAR OS", RTS Embedded Systems 2009 (RTS'09), Paris, March 31 - April 2, 2009.
Pushing the limits of CAN - Scheduling frames with offsets provides a major p...
M. Grenier, L. Havet, N. Navet, "Pushing the limits of CAN - Scheduling frames with offsets provides a major performance boost", Proc. of the 4th European Congress Embedded Real Time Software (ERTS 2008), Toulouse, France, January 29 - February 1, 2008.
New policies
The document discusses creating new real-time scheduling policies. It introduces real-time systems and scheduling, and describes how scheduling policies are commonly defined using priority functions. Existing scheduling policies like earliest deadline first are discussed. The goal is to formally define new scheduling policies and analyze their performance, especially for improving control in networked control systems.
Isi2007 nn shc_2007
1. Genetic programming is used to evolve computer programs that can discover trading rules from financial time series data.
2. Experiments show that GP performs best on stocks with high entropy or complexity, as these stocks are less predictable and the training period more closely resembles out-of-sample data.
3. Improvements are needed such as more rigorous assessment of GP outcomes, better data division schemes, and risk-adjusted fitness functions to produce more robust trading strategies.
Configuring the communication on FlexRay: the case of the static segment
N. Navet, M. Grenier, L. Havet, "Configuring the communication on FlexRay: the case of the static segment", Proc. of the 4th European Congress Embedded Real Time Software (ERTS 2008), Toulouse, France, January 29 - February 1, 2008.
Automating the Configuration of the FlexRay Communication Cycle
N. Navet, "Automating the Configuration of the FlexRay Communication Cycle", FlexRay Product Days, Fellbach, Germany, November 2008.
Aperiodic Traffic in Response Time Analyses with Adjustable Safety Level
D. Khan, N. Navet, B. Bavoux, J. Migge, "Aperiodic Traffic in Response Time Analyses with Adjustable Safety Level", 14th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2009), Mallorca, Spain, September 2009
Ertss2010 multicore scheduling
1) The document discusses multicore scheduling challenges for automotive electronic control units (ECUs) as the automotive industry moves toward multicore architectures.
2) It presents a model for scheduling numerous tasks or "runnables" across multiple cores of an ECU. The model considers attributes of each runnable like period, worst case execution time, initial offset, and core allocation constraints.
3) The document proposes using load balancing algorithms like Least Loaded and variants to build schedule tables that assign runnables to slots on each core, aiming to balance load over time while avoiding peaks. It has implemented these approaches in a scheduling tool.
Optimizing the Robustness of X-by-Wire using Word Combinatorics
This document discusses optimizing the configuration of X-by-wire networks using combinatorial methods. It examines two objectives: minimizing the probability that at least one frame is corrupted (Pone), and minimizing the probability that all frames are corrupted (Pall). For TDMA networks, grouping replicas together minimizes Pone, while using balanced words minimizes Pall. For TTP/C networks, stacking slots optimally in two stacks minimizes Pall. Future work includes mixed fail-silent and non fail-silent nodes, and applying these methods to other protocols like FlexRay.
Cief2007 nn shc_slides
This document discusses experiments analyzing the entropy rates and profitability of technical analysis on NYSE US 100 stocks from 2000-2006. It finds that stocks have differing entropy rates ranging from 2.68-2.79 bits/character on average. Lower entropy stocks exhibited more autocorrelation. Genetic programming was used to generate trading rules and found that for high entropy stocks, generated rules did not consistently outperform random lottery trading, indicating technical analysis was not clearly profitable.
Virtualization in Automotive Embedded Systems : an Outlook
N. Navet, B. Delord, M. Baumeister, "Virtualization in Automotive Embedded Systems : an Outlook", talk at RTS Embedded System 2010, Paris, France, March, 2010.
More from Nicolas Navet (13)
Automotive communication systems: from dependability to security
Automotive communication systems: from dependability to security
Pushing the limits of CAN - Scheduling frames with offsets provides a major p...
Pushing the limits of CAN - Scheduling frames with offsets provides a major p...
Configuring the communication on FlexRay: the case of the static segment
Configuring the communication on FlexRay: the case of the static segment
Automating the Configuration of the FlexRay Communication Cycle
Automating the Configuration of the FlexRay Communication Cycle
Aperiodic Traffic in Response Time Analyses with Adjustable Safety Level
Aperiodic Traffic in Response Time Analyses with Adjustable Safety Level
Optimizing the Robustness of X-by-Wire using Word Combinatorics
Optimizing the Robustness of X-by-Wire using Word Combinatorics
Virtualization in Automotive Embedded Systems : an Outlook
Virtualization in Automotive Embedded Systems : an Outlook
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HCL Notes and Domino License Cost Reduction in the World of DLAU
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The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
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UiPath Test Automation using UiPath Test Suite series, part 5
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Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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Removing Uninteresting Bytes in Software Fuzzing
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- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
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GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
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UiPath Test Automation using UiPath Test Suite series, part 5
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Presentation of the OECD Artificial Intelligence Review of Germany
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How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
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Climate Impact of Software Testing at Nordic Testing Days
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
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Infrastructure Challenges in Scaling RAG with Custom AI models
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Battery Aware Dynamic Scheduling for Periodic Task Graphs
- 1. Battery Aware Dynamic Scheduling for Periodic Task Graphs Venkat Rao # , Nicolas Navet # , Gaurav Singhal *, Anshul Kumar , GS Visweswaran # TRIO Group, INRIA-Lorraine /LORIA. * Dept of ECE, UT Austin, Dept of CSE, IIT Delhi Dept of EE, IIT Delhi
- 9. Problem Definition To find a battery efficient schedule for a given a set of periodic tasks graphs (T1, T2, ....Tn) which have corresponding deadlines (D1,D2, .....Dn) equal to their periods, where a taskgraph Ti comprises of any m interdependent nodes, each of which are in themselves tasks with given worst case computations (wci1, wci2, ......wcim). T1 D1 T3D3 T2 D2 wci Precendence constraint
- 24. Thank You
- 25. Battery Models Still Too computationally intensive for use at runtime Not accurate, elements change value depending conditions Use capacitor and resistors to represent battery Circuit Still in the process of development. Relatively accurate and fast. Stochastic Slow, involves a large number of parameters Accurate PDE (higher forms of KiBaM) Disadvantages Advantages
- 28. Simulation Results: Effect of ready list on energy consumption Energy consumption (normalized w.r.t optimal schedule) by various scheduling policies for different number of tasks in a taskgraph At Utilization 70% and actual computation times varying from 20% to 70%
- 29. Simulation Results: Effect of priority function on energy consumption Energy consumption (normalized w.r.t optimal schedule) by various scheduling policies for different number of tasks in a taskgraph At Utilization 70% and actual computation times varying from 20% to 70%. Ready list comprises of most imminent.
Editor's Notes
- Based solely on the electro-chemistry. Sometime rely on empirically established 2. PDE: finite element models, divide each cell into a number of finite elements interacting with each other, models current flow and potential distribution in the cell. Quite complex and slow while accurate, not suitable for mobile OS. 3. 4. Stochastic is a promising modeling method. Represent the battery behavior as A discrete time transient stochastic process, that tracks the the cell state of the charge.
- Factors that may affect the battery performance include: When a battery stands idle after a discharge, certain chemical and physical changes take place which can result in voltage recovery. So, the voltage will rise after a rest period, giving a saw-tooth-shaped discharge. Shelf Life: even during storage, the battery is still discharge itself. Depending on the storage temp and humidity, the short shelf life can be a problem on long-term discharges. Around room temp, alkaline lose about 3% capacity per year, however zinc-carbon can lose up to 15% of the capacity
- Factors that may affect the battery performance include: When a battery stands idle after a discharge, certain chemical and physical changes take place which can result in voltage recovery. So, the voltage will rise after a rest period, giving a saw-tooth-shaped discharge. Shelf Life: even during storage, the battery is still discharge itself. Depending on the storage temp and humidity, the short shelf life can be a problem on long-term discharges. Around room temp, alkaline lose about 3% capacity per year, however zinc-carbon can lose up to 15% of the capacity