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检索条件"任意字段=1st International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022"

共 61 条记录，以下是21-30 订阅

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Seven Level Hf Isolated Inverter For 1-Phase Grid-Connected Solar Photovoltaic System 1

Seven Level Hf Isolated Inverter For 1-Phase Grid-Connected ...

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1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Shaik, Abdul Khadar Shuaib, Y. Mohamed Bharanigha, V. Khan, P Meeravali BSA Crescent Institute of Science and Technology Department of EEE India SVNE Tirupathi India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

This work aims to develop a new galvanically isolated high boost DC/AC inverter for grid-connected solar photovoltaic (PV) system. It consist of high boost DC-DC block at the front, high frequency (HF) isolation transformer, seven level inverter and a small filter at output side. DC-DC converter helps to regulate the intermittent voltage of PV and helps to track MPPT of the system, HF transformer isolate the PV system from the grid, which avoids any leakage current to the grid and six switch seven level inverter produce high quality sinusoidal voltage and current helps to reduce equipment. Moreover, input side current is continuous with much simplified gate-drive circuit. The operating principle, design guidelines along with simulation results and prototype model of the proposed inverter will be presented in details for the design verification and validation. © 2022 IEEE.

关键词： Solar power generation

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SHO Algorithm Based PID controller for Automatic Generation Control of Multiarea Multiunit power System With Renewable Energy Source 1

SHO Algorithm Based PID Controller for Automatic Generation ...

引用

1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Patel, Nimai Charan Yadav, Sujesh Kumar Yadav, Sunil Kumar Pradhan, Partha Sarathi Government College of Engineering Department of Electrical Engineering Odisha Keonjhar India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

For good quality power delivery to the consumers and maintaining the system stability in an interconnected power system, automatic generation control (AGC) plays a substantial role. This article describes AGC of a multi-area multi-unit interconnected power system (IPS). It consists of three area nine-unit system in which thermal and hydro plants are common in each area and wind, diesel and gas plants are combined in the area 1, area 2 and area 3 respectively. Boiler dynamics (BD), governor dead band (GDB) and generation rate constraint (GRC), are considered to make the system more practical and realistic but due to the introduction of GRC and GDB, the system becomes highly nonlinear. Hence, it becomes a challenging task to stabilize the system against any load disturbance. In this article, proportional-integral-derivative (PID) controller is designed by independently employing particle swarm optimization (PSO) and selfish herd optimization (SHO) algorithm and implemented for AGC of three un-equal area multi-source power system against a load disturbance of 1 % in area 1. It is found that the proposed SHO based PID controller is superior and more effective than the PSO based PID controller in damping out the frequencies and tie-line powers oscillations. © 2022 IEEE.

关键词： controllers

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intelligent Surveillance System with Mask Detection and Temperature Monitoring 1

Intelligent Surveillance System with Mask Detection and Temp...

引用

1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Sivapriyan, R Kumar, N Pavan Mohan, C.V. Sakshi, N Sir Mvit Department of Eee Bangalore India Private Limited Bangalore India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

An efficient and adroit surveillance system is im-perative in the fast-paced digital world, with a monumental rise in video-based surveillance systems for security and monitoring. The pandemic has created the need for effective surveillance and made it more relevant than ever before. The AI-based surveillance system proposed in this paper is capable of performing the traditional functions of a surveillance system and checking if a person is wearing a mask and if his temperature is below a certain threshold. The proposed surveillance system is a video-based surveillance system capable of logging people who are not wearing a mask or whose temperature is not below a specified value. This system is implemented with Raspberry Pi as the central hub for processing, extracting, and analyzing the video stream from a camera. The proposed system aims to identify the mask on people by using a cascade classifier generated by Machine learning techniques, thus mulling down the effects of external factors (lighting condition, position, etc.) that affect the performance of a traditional video surveillance system. © 2022 IEEE.

关键词： Monitoring

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Coordinated Synthetic Inertia Control Provision from Distributed Energy Resources and Energy storage Systems 1

Coordinated Synthetic Inertia Control Provision from Distrib...

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1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Nema, Sumit Prakash, Vivek Bhakar, Rohit Pandzic, Hrvoje School of Automation Banasthali Vidyapith Department of Electrical Engineering Tonk India University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Malaviya National Institute of Technology Department of Electrical Engineering Jaipur India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

Large-scale integration of Distributed Energy Resources (DERs) into power grids reduces the system inertial response. Reduced inertial response results in high Rate-of-Change-of-Frequency (RoCoF) and poses operational challenges regarding the grid frequency stability. The need for Fast Frequency Response (FFR) like Synthetic Inertia Control (SIC) is recognized globally as one of the potential solutions to this challenge. This paper proposes a novel SIC control strategy in an islanded microgrid framework with DERs like wind, photovoltaic, Energy storage Systems (ESS), Diesel generator and inverters. Particle Swarm Optimization (PSO) is applied to tune the SIC droop, the damping and inverter the time constant. Furthermore, a PID controller is implemented for fine tuning of the synthetic inertia constants. The proposed approach is examined in a control area with distinct degrees of DERs and load. Case studies and numerical results demonstrate about 94% improvement in RoCoF and 72% improvement in the frequency nadir. © 2022 IEEE.

关键词： Energy storage

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Design of smart Building System and Monitoring Using IoT 1

Design of Smart Building System and Monitoring Using IoT

引用

1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Srihari, Theddu Sai, Merugu Venkat Srinivas, N. Vardhaman College of Engineering Dept. of Eee Hyderabad India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

The paper mainly focuses on saving energy by cutting down the unwanted consumption of energy. The paper discusses the system which can be operated by itself without the intervention of humans. It can be implemented in organizations as well in public areas. It reduces the consumption of power whenever it is not required. The main idea of this paper is to automate the devices and the ability to make their decisions on their own based on their surroundings. This proposed system will reduce the amount of energy used in a room's lighting while still providing efficient lighting. It decides on its own based on the sunlight availability in the room. Similarly for remaining devices can able to make their decisions based on the different factors provided. Another advancement is it can count the number of visitors and issue the warning mentioned. Similarly, we can implement in operating the fans, doors, etc. The above-collected data can be monitored by using the IoT cloud. These all are implemented altogether to make it more efficient. It works as per the algorithm designed for that specific purpose and can able to make changes depending on the scale of the application. Our proposed system will reduce the consumption of the power and automates the daily routine things based on the requirements specified © 2022 IEEE.

关键词： Lighting

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A Fast Battery Charging Scheme for a Solar Energy System Using intelligent Bi-directional Converter 1

A Fast Battery Charging Scheme for a Solar Energy System Usi...

引用

1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Basu, Arpita Singh, Madhu National Institute of Technology Department of Electrical Engineering Jamshedpur India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

This paper presents a comprehensive design and control strategy for a photovoltaic (PV) energy system. This system consists of a 2kW photovoltaic system, two converter circuit, a resistive load of 6ohm and battery storage. Resistive load and battery system is connected to a common DC bus. This scheme offered two Converter topologies;one is boost converter and another is DC / DC bidirectional converter. The boost converter is directly connected in series to the PV array whereas the bi-directional DC/DC converter (BDC) is connected to the battery. The boost converter is used to regulate the maximum power point tracking (MPPT) of the PV array. For MPPT from the solar array the Perturb & Observe method (P&O) is used. The bi-directional converter regulates battery charging and discharging power flow. When the generated PV power is less than the required power for load the battery is discharging to fed the load to meet the demand. On the other hand, when the generated power of the PV array is more than the demand the battery is charging. Closed-loop control of bi-directional controller is implemented with two control schemes with two controllers. Scheme 1. Proportional Integral controller and scheme 2. Takagi-Sugeno Fuzzy controller. The paper deals with the comparative analysis of battery management in terms of charging-discharging, rise time, overshoot, undershoot, peak value, peak time. © 2022 IEEE.

关键词： controllers

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Industrial Revolution 4.0: Energy Monitoring and Load Control System 1

Industrial Revolution 4.0: Energy Monitoring and Load Contro...

引用

1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Ahmed, Kaushik Emon, Mayeen Uddin Bin Hassan, Md Yeasib Hossen, Md Shamim Mahmud, Dewan Mahnaaz American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

This manuscript aims to propose a fourth industrial revolution-based approach to electricity distribution and management systems. The energy meter measures electrical energy, and it is inspected by a person where consumption bills are prepared depending on the meter reading. Most often, the bills are prepared based on the meter reading i.e., manually by hand which tends to be unreliable, expensive, time-consuming, and error prone. Energy meter monitoring using image processing and a computerized billing system is a feasible process that can eliminate conventional meter reading, saves time and money, increase accuracy, prevent electricity theft, and prevent peak hour costs. This manuscript focuses on remote monitoring and controlling of individual loads, energy meter monitoring, forecast analysis depending on industrial electricity consumption, and a digital billing system. Load forecast will help the user further to take managerial decisions. Furthermore, this prototype exhorts the user to turn off the highest energy-consuming load during peak hours and help to reduce peak hour demand as well as the energy cost of the user. Concisely, this system is designed to provide a better, safer, and simpler distribution system to the users and electricity suppliers. © 2022 IEEE.

关键词： Optical character recognition

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Voltage Mode Control of Buck Converter using Practical PID controller 1

Voltage Mode Control of Buck Converter using Practical PID C...

引用

1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Ravi, Dayyala Ghosh, Arnab Nit Department of Electrical Engineering Odisha Rourkela India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

This paper explains about voltage mode control of buck converter using a practical PID controller technique. In Crucial applications, such as power supplies for data centres, the buck converter is the most commonly used converter to step down the DC voltage level to the needed amount. This type of converter's voltage is controlled by switching, which stores energy in the circuit before releasing it at a predetermined voltage level to the output. This study focused on a Buck converter with the goals of i) controlling the output voltage under variable input voltage and load current conditions and (ii) attaining high efficiency while preserving quick transient performance. This converter's closed loop voltage regulation ensures that the output voltage remains unchanged regardless of load current, input voltage, or reference voltage fluctuations. PID controller in voltage mode controller can be designed by using small signal model of DC-DC buck converter which can be obtained with the help of circuit averaging technique. In this Paper, we can simulate the Buck converter with Different Case studies like step up load transient, step up input voltage transient and step-up reference voltage transient and we can observe output voltage response behaviour during those transient times. In this paper, a Practical buck converter is considered to capture all the non-ideality behaviour of the converter and Fixed Frequency-Trailing edge PWM method is used with switching frequency of 1MHz © 2022 IEEE.

关键词： Buck converter

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A smart Solar Charge controller Based on IOT Technology with Hardware Implementation 1

A Smart Solar Charge Controller Based on IOT Technology with...

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1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Samal, Sarita Soni, Roshan Kumar Nayak, Sarthak Barik, Prasanta Kumar Dash, Rudranarayan Dei, Geetanjali School of Electrical Engineering Kiit Bhubaneswar751024 India Department of Mee Caet Ouat Bhubaneswar751003 India

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

This Paper presents the concept of a Maximum power Point Tracking (MPPT) based Solar Charge controllers (SCC) for charging a battery in stand-alone Solar Photo-voltaic (SPV) systems. A SCC is a battery charge regulator which is connected in between the SPV panel and the battery, the primary purpose of the SCC is to regulate the charging of the battery so that it charges correctly. PWM based SCCs may get the job done but they have very low efficiency as compared to MPPT based ones and thus waste a lot of SPV power. This fact has been analyzed in our article by executing the simulations for both the charge controller types and the efficiency of PWM was found to be only 65% whereas that of the MPPT based is 94%. Another useful feature in modern day SCCs and in our prototype is the facility to monitor the device parameters remotely on a wireless network which provides major flexibility to controllers. In this prototype model we have implemented MPPT based SCC along with one Wi-Fi module for monitoring the battery voltage, current, PWM pulses and battery status on smartphones. The user also gets notified about the battery status, whether the battery is charging or it is over charging. If the SPV voltage is more than 12V the relay disconnects the battery from the SPV cell and a notification regarding this is given to the user. © 2022 IEEE.

关键词： Pulse width modulation

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Forecasting Electric power Generation in a Photovoltaic power Systems for smart Energy Management 1

Forecasting Electric Power Generation in a Photovoltaic Powe...

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1st international conference on intelligent controller and computing for smart power, iciccsp 2022

作者： Rao, Challa Krishna Sahoo, Sarat Kumar Yanine, Franco Fernando Aditya Institute of Technology and Management Department of Electrical and Electronics Enginnering A.P. Tekkali India Parala Maharaja Engineering College Dept. of Electrical Engineering Odisha Berhampur India School of Engineering of Universidad Finis Terrae Providencia Santiago Chile

ISBN: (数字)9781665472586

ISBN: (纸本)9781665472586

Solar electricity is generated using photovoltaic (PV) systems all over the world. Solar power sources are irregular in nature since PV system output power is intermittent and highly dependent on environmental conditions. Irradiance, humidity, PV surface temperature, and wind speed are only a few of these variables. The uncertainty in photovoltaic generating, it's crucial to plan ahead for solar power generation. Solar power forecasting is required for electric grid supply and demand planning. Because solar power generation is weather-dependent and unregulated, this forecast is complicated and difficult. Selective developed to this goal. Traditional approaches such as statistics, autoregressive moving average, regression, and others were used to forecast PV power before the widespread usage variables are assessed for prediction models based on Artificial Neural Networks (ANN) and regression models. Several PV forecasting algorithms have been of machine learning technologies. Artificial Neural Networks, Support Vector Machines, and hybrid techniques have grown popular as a result of recent advances in machine learning methodologies and access to huge data. This study examines the impacts of numerous environmental conditions on PV system output, as well as the working principle and application of various PV forecasting approaches, in order to better comprehend the insights of PV prediction. Furthermore, the important parameters influencing PV generation are calculated using real-time data. © 2022 IEEE.

关键词： Solar power generation

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