Presentation o An Intelligent protection scheme for microgrid using data-mining and machine learning.
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3) The proposed control strategy involves angle, frequency, and power loops instead of conventional current and voltage loops. It directly controls power output by varying power angle and voltage amplitude.
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Consider the power network as shown in fig.1
Now if we disconnect the line AB from the infinite transmission grid there will be an isolated region . The D1, D2 are power sources (eg : inverter , solar power cells ). The power generated in this region is fed to the island only.
We see that there no longer is any control over the island voltage at the bus X . Also there is no mechanism here for control of frequency.
This state is referred to as islanding.
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microgrid NaumanAli78 A DC micro grid system has been proposed to enable the large-scale introduction of distributed solar power generation by connecting photovoltaic units and batteries to a DC distribution network. A demonstration facility was developed consisting of various PV technologies, an aerogenerator, and a redox flow battery. The redox flow battery successfully balanced supply and demand on the micro grid through its rapid charge/discharge capability despite fluctuating power generation and consumption. This demonstrated the feasibility of using a redox flow battery for supply-demand management in a DC micro grid system.
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converter system depend on the quality of the inverter current control. In this paper, a control technique for a photovoltaic
system connected to the grid based on digital pulse-width modulation (DSPWM) which can synchronize a sinusoidal output
current with a grid voltage and control the power factor is proposed. This control is based on the single phase inverter controlled
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explained. Simulations results of output voltage and current validate the impact of this method to determinate the appropriate
control of the system. A digital design of the control based on generator PWM using VHDL is proposed and implemented on
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- Master's degree in Electrical Engineering with a focus on power systems and experience in software development.
- Skilled in transmission planning tools like PSSE and experience analyzing power flows, contingencies, and reliability standards.
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Microgrid.iet
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Control for Grid-Connected and Intentional Islanding Operations of Distribute...
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which consists of a load and a distributed generation (DG) system, is isolated from the remainder
of the utility system. In this situation, it is important for the microgrid to continue to provide
adequate power to the load. Under normal operation, each DG inverter system in the microgrid
usually works in constant current control mode in order to provide a preset power to the main
grid. When the microgrid is cut off from the main grid, each DG inverter system must detect this
islanding situation and must switch to a voltage control mode. In this mode, the microgrid will
provide a constant voltage to the local load. This paper describes a control strategy that is used to
implement grid-connected and intentional-islanding operations of distributed power generation.
This paper proposes an intelligent load-shedding algorithm for intentional islanding and an
algorithm of synchronization for grid reconnection.
Dcgris3
Dcgris3vikram anand The strategy is based on an autonomous distributed control
scheme in which the DC bus voltage level is used as an indicator of the power balance in the
microgrid. The autonomous control strategy does not rely on communication links or a
central controller, resulting in reduced costs and enhanced reliability. As part of the control
strategy, an adaptive droop control technique is proposed for PV sources in order to
maximize the utilization of power available from these sources while ensuring acceptable
levels of system voltage regulation
IRJET- Series Voltage Regulator for Radial DC – Microgrid
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Integrated protection and control strategies for microgrid
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2) Key aspects of synchronverters are described, including emulated inertia, controlled frequency dynamics, and power-frequency droop control for power sharing in island mode.
3) The proposed control strategy involves angle, frequency, and power loops instead of conventional current and voltage loops. It directly controls power output by varying power angle and voltage amplitude.
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Consider the power network as shown in fig.1
Now if we disconnect the line AB from the infinite transmission grid there will be an isolated region . The D1, D2 are power sources (eg : inverter , solar power cells ). The power generated in this region is fed to the island only.
We see that there no longer is any control over the island voltage at the bus X . Also there is no mechanism here for control of frequency.
This state is referred to as islanding.
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They comprise of distributed energy resources like wind turbine, Photovoltaic, Storage devices like batteries and renewable resources of power systems. They can operate in two modes, viz. Connected mode, where they are connected to the Main grid; and island mode, where they are isolated from Main grid. While microgrids offer advantages like improved reliability, stability,and efficiency; their implementation poses different technical challenges specifically for protection of microgrid. It is essential to protect a micro grid in both the grid-connected and the island mode of operation against all different types of faults. This paper gives literature review for different challenges and protection of techniques for microgrid protection.
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from the energy provided by the photovoltaic generator. The power quality injected into the grid and the performance of the
converter system depend on the quality of the inverter current control. In this paper, a control technique for a photovoltaic
system connected to the grid based on digital pulse-width modulation (DSPWM) which can synchronize a sinusoidal output
current with a grid voltage and control the power factor is proposed. This control is based on the single phase inverter controlled
by bipolar PWM Switching and lineal current control. The electrical scheme of the system is presented. The approach is widely
explained. Simulations results of output voltage and current validate the impact of this method to determinate the appropriate
control of the system. A digital design of the control based on generator PWM using VHDL is proposed and implemented on
Field-Programmable Gate Array “FPGA”.
Iceeot
Iceeotfayas ahamed This document summarizes a presentation on modeling and simulating a solar PV and battery-based DC microgrid system. It discusses the advantages of DC microgrids over AC microgrids. It also outlines several real-world DC microgrid implementations worldwide and describes the designed microgrid system. Three scenarios are simulated to test the energy management control algorithm in maintaining the DC bus voltage and regulating the battery state of charge. The results demonstrate the controls working as expected. Future work is proposed to expand the system and design protections.
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Control of parallel dc dc converters in a dc microgrid
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Resume- EE
Resume- EEShashwat Shekhar - Motivated Electrical Engineer with 1 year of experience in power transmission planning, generator interconnection studies, and NERC compliance studies seeking a position in power systems engineering.
- Master's degree in Electrical Engineering with a focus on power systems and experience in software development.
- Skilled in transmission planning tools like PSSE and experience analyzing power flows, contingencies, and reliability standards.
Presentation22
Presentation22Sima Aznavi Hierarchical Droop Controlled Frequency Optimization and Energy Management of a Grid-Connected Microgrid ,
Sustech 2017 conference, Nov 12-14
Presented by Sima Aznavi
anti islanding technology(passive)
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Microgrid.iet
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which consists of a load and a distributed generation (DG) system, is isolated from the remainder
of the utility system. In this situation, it is important for the microgrid to continue to provide
adequate power to the load. Under normal operation, each DG inverter system in the microgrid
usually works in constant current control mode in order to provide a preset power to the main
grid. When the microgrid is cut off from the main grid, each DG inverter system must detect this
islanding situation and must switch to a voltage control mode. In this mode, the microgrid will
provide a constant voltage to the local load. This paper describes a control strategy that is used to
implement grid-connected and intentional-islanding operations of distributed power generation.
This paper proposes an intelligent load-shedding algorithm for intentional islanding and an
algorithm of synchronization for grid reconnection.
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Similar to Presentation o An Intelligent protection scheme for microgrid using data-mining and machine learning. (20)
Dcgris3
Dcgris3vikram anand The strategy is based on an autonomous distributed control
scheme in which the DC bus voltage level is used as an indicator of the power balance in the
microgrid. The autonomous control strategy does not rely on communication links or a
central controller, resulting in reduced costs and enhanced reliability. As part of the control
strategy, an adaptive droop control technique is proposed for PV sources in order to
maximize the utilization of power available from these sources while ensuring acceptable
levels of system voltage regulation
IRJET- Series Voltage Regulator for Radial DC – Microgrid
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Fault Detection and Isolation in Low-Voltage DC-Bus Microgrid System
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Modeling and simulation for PV, Fuel cell Based MICROGRID under Unbalanced L...
Modeling and simulation for PV, Fuel cell Based MICROGRID under Unbalanced L...IJMER Distributed generation has attracted great attention in recent years, thanks to the progress
in new-generation technologies and advanced power electronics. The Microgrid has been a successful
example by integrating various generation sources with the existing power distribution network
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Ijmer 46061528
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IRJET- A Literature Study on Fault Recognition in Different System
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B1102030610
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FPGA-based fault analysis for 7-level switched ladder multi-level inverter u...
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Multilevel Cascaded-TypeDynamic Voltage Restorer with Fault Current Limiting ...
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Keynote icdcm Josep Guerrero
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sikder2018.pdf
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IRJET- Performance Analysis of a DC Microgrid Integrated Dynamic Voltage ...
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FAULT DETECTION IN FIVE BUS SYSTEM USING MATLAB & SIMULINK (DISCRETE WAVELET ...
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Analysis of Low Frequency Oscillations in Autonomous Microgrid in Staic and D...
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under grund fault ppt (1).pptx
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Agent based Load Management for Microgrid
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Advanced railway security system (arss) based on zigbee communication for tra...
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Presentation o An Intelligent protection scheme for microgrid using data-mining and machine learning.
- 2. CONTENTS Preface Microgrid Test System Microgrid Modeling with RTDS Fault Data Generation No-Fault Data Generation Feature Extraction Deep-Learning Simulation Results RTDS Classification Conclusions 2
- 3. PREFACE A data-mining based intelligent protection scheme for fault detection is developed The proposed relaying scheme is developed on a real time digital simulator (RTDS) platform One cycle post-fault current signal samples are retrieved Samples are pre-processed using S-transform to obtain statistical features Deep learning is used to classify fault and no fault from extracted features 3
- 4. MICROGRID TEST SYSTEM Two synchronous generators One photovoltaic (PV) module One wind farm 4 DGs are connected to the corresponding buses with breaker So they can be disconnected Microgrid can operate in both radial and mesh topology using circuit breakers
- 5. MICROGRID MODELING WITH RTDS 5 Wind Turbine Photovoltaic Synchronous Generator Synchronous Generator Load Capacitor Bank Topology Switches PCC Breaker
- 6. FAULT DATA GENERATION 6 Fault and no-fault scenarios are generated using RSCAD script The script file controls the operation of the simulator and analyses the data without user interaction Batch mode of operation for all combination of scenarios is implemented. Different type of faults at different locations of the microgrid can be implemented Fault types: phase-to-ground phase-to-phase-ground three-phase-to-ground faults 1. Fault resistance: 0.1, 10 , 30, 100 Ohms 2. Fault in different lines. 3. Fault position: 20%, 40%, 60% and 80% of line length. 4. microgrid topology: Radial and mesh 5. Mode of operation: grid connected, islanded. 6. DG outage: Synchronous generator at bus 3.
- 7. FAULT GENERATION SCRIPT 7 DG Breake r Capacitance Switch PCC Breake r Location of Fault Line Resistance Fault Type No initial fault scenario generation by index in the loops Save cycle samples
- 8. NO-FAULT DATA GENERATION 8 No-fault scenarios are generated using the same RSCAD script The script file changes the parameters of the microgrid without user interaction No Fault Operational Scenarios: 1. Load variations from normal load to 120% overload. 2. Capacitor switching at PCC and Buses 2 and 6. 3. Microgrid topology: Radial and mesh 4. Mode of operation: grid connected, islanded. 5. DG outage: Synchronous generator at bus 3.
- 9. S-TRANSFORM IN FEATURE EXTRACTION 9 Three phase current signals of both ends of the respective feeder are retrieved Samples are processed using S-transform to extract features.
- 11. DEEP LEARNING 11 Deep learning is used for the data classification All classification tasks depend upon labeled datasets Two classes of fault and no fault are considered 80% of the generated data is used for Deep learning training Remaining 20% is used for test 200 nodes: sigmoid 100 nodes: tanh 100 nodes: softsign 50 nodes: sigmoid 0/1
- 13. LINE1-3, A-G FAULT, GRID CONNECTED 13
- 14. LINE1-3, B-C-G FAULT, GRID CONNECTED 14
- 15. LINE1-3, A-B-C-G FAULT, GRID CONNECTED 15
- 16. LINE1-3,B-G FAULT, LOOP AND GRID CONNECTED 16
- 17. SIMULATION RESULTS: DATA CLASSIFICATION 17 • The data is classified into two classes of fault and no fault • The classification results for 748 fault and 625 no-fault scenarios are shown below. The results show the classification has about 97% accuracy. The 3% misclassification : 18 faulty and 18 non-faulty scenarios are classified incorrectly
- 18. In this project, the simulated IEC microgrid in RSCAD and its components have been described. Different types of conditions including fault resistance, fault locations, and various levels of DG penetration within different topologies of microgrid are studied. The faults are simulated at different location of the line between two buses and the current is measured. Then, deep learning has been applied for classification for the protection scheme. In the next step, the performance of the proposed method will be evaluated for high impedance faults (HIFs) which are difficult to detect. Also, the effects of communication failure will be assessed. Compare with other data-mining based approaches. CONCLUSION 18