Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862516
I. Bhushan, S. Chandra
Grid fusion of renewable energy based distributed generation (DG) is gaining popularity globally due to their benefits of increasing efficiency, power quality, and system reliability. In front of their benefits, they are enduring the issues of unintentional islanding. Islanding is caused in the distributed generation because of system faults and equipment failure in the main grid. So, the islanding must be detected within 2s as recommended by distributed generation interconnection standards. Islanding identification in the micro grid is an essential key constraint for evolving safety and competent functioning of a power system. This paper presents a quick summary of various islanding detection methods in Integrated distributed generation systems. This work has concluded with few gaps existing in islanding detection techniques with their benefits and drawbacks.
{"title":"Comparative Analysis to Emphasize on Islanding Detection Techniques in Integrated Distributed Generation System","authors":"I. Bhushan, S. Chandra","doi":"10.1109/ICICCSP53532.2022.9862516","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862516","url":null,"abstract":"Grid fusion of renewable energy based distributed generation (DG) is gaining popularity globally due to their benefits of increasing efficiency, power quality, and system reliability. In front of their benefits, they are enduring the issues of unintentional islanding. Islanding is caused in the distributed generation because of system faults and equipment failure in the main grid. So, the islanding must be detected within 2s as recommended by distributed generation interconnection standards. Islanding identification in the micro grid is an essential key constraint for evolving safety and competent functioning of a power system. This paper presents a quick summary of various islanding detection methods in Integrated distributed generation systems. This work has concluded with few gaps existing in islanding detection techniques with their benefits and drawbacks.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862339
B. Rao, P. Gouda, S. Rao, K. Manohar
A stand-alone hybrid PV- Wind and diesel generator systems is proposed in this paper. Here, a permanent magnet synchronous generator is used for wind turbine and a synchronous generator is for diesel generator set. The automatic control of reactive power for this hybrid system is the main keystone in this paper. A synchronous compensator is proposed in this system to minimize the gap between reactive power generation and demand. A suitable control technique i. e Bull Optimization Technique is designed in this paper to control reactive power and to improve the stability of the system. The simulation for mathematical analysis is based on small signal model and this hybrid system is verified in MATLAB simulink using different control techniques.
{"title":"Reactive Power Control in Hybrid System Using Fuzzy Logic Control","authors":"B. Rao, P. Gouda, S. Rao, K. Manohar","doi":"10.1109/ICICCSP53532.2022.9862339","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862339","url":null,"abstract":"A stand-alone hybrid PV- Wind and diesel generator systems is proposed in this paper. Here, a permanent magnet synchronous generator is used for wind turbine and a synchronous generator is for diesel generator set. The automatic control of reactive power for this hybrid system is the main keystone in this paper. A synchronous compensator is proposed in this system to minimize the gap between reactive power generation and demand. A suitable control technique i. e Bull Optimization Technique is designed in this paper to control reactive power and to improve the stability of the system. The simulation for mathematical analysis is based on small signal model and this hybrid system is verified in MATLAB simulink using different control techniques.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126725099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862464
Asif Hamid, Danish Rafiq, S. A. Nahvi, M. A. Bazaz
The recent discovery of nonlinear system identification via the Sparse Identification of Nonlinear Dynamics (SINDy) method has enjoyed a lot of success across many engineering applications. Due to innovations in sparse regression and compressed sensing, this technique enables tractable identification of both the structure and parameters of a nonlinear dynamical system from data. In the present work, we show the application of SINDy for estimating power-grid parameters. In particular, we demonstrate how SINDy can be used to extract the underlying swing equations from time-series data and thus estimate the critical power-system parameters like rotor inertia and damping coefficients with high degree of accuracy. We demonstrate the results on the Ring-Grid and the IEEE 39-Bus test system.
{"title":"Power Grid parameter estimation using Sparse Identification of Nonlinear Dynamics","authors":"Asif Hamid, Danish Rafiq, S. A. Nahvi, M. A. Bazaz","doi":"10.1109/ICICCSP53532.2022.9862464","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862464","url":null,"abstract":"The recent discovery of nonlinear system identification via the Sparse Identification of Nonlinear Dynamics (SINDy) method has enjoyed a lot of success across many engineering applications. Due to innovations in sparse regression and compressed sensing, this technique enables tractable identification of both the structure and parameters of a nonlinear dynamical system from data. In the present work, we show the application of SINDy for estimating power-grid parameters. In particular, we demonstrate how SINDy can be used to extract the underlying swing equations from time-series data and thus estimate the critical power-system parameters like rotor inertia and damping coefficients with high degree of accuracy. We demonstrate the results on the Ring-Grid and the IEEE 39-Bus test system.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126525857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862362
D. Shetty, N. Jayalakshmi, M. Arjun, Poojashree Hebbar
The harmful impacts of fossil fuels have made us adopt renewable energy sources which do not replenish upon more usage. The renewable energy sources like solar PV system provide many benefits, including green and clean energy. At the same time, solar PV panels suffer from low output power when subjected to partial shading. Several Maximum Power Point Tracking (MPPT) algorithms have been proposed in the literature to tackle this problem. Choosing an appropriate algorithm to track the maximum power point is of paramount importance as it improves the efficiency of the PV system by a significant margin. This paper focuses on evaluating and comparing various MPPT algorithms that fall under different categories such as conventional, soft computing and hybrid methods. These algorithms are simulated and tested on a partially shaded PV system for various performance parameters in MATLAB/Simulink environment.
{"title":"Evaluation of MPPT Algorithms for PV System under Partial Shading Conditions","authors":"D. Shetty, N. Jayalakshmi, M. Arjun, Poojashree Hebbar","doi":"10.1109/ICICCSP53532.2022.9862362","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862362","url":null,"abstract":"The harmful impacts of fossil fuels have made us adopt renewable energy sources which do not replenish upon more usage. The renewable energy sources like solar PV system provide many benefits, including green and clean energy. At the same time, solar PV panels suffer from low output power when subjected to partial shading. Several Maximum Power Point Tracking (MPPT) algorithms have been proposed in the literature to tackle this problem. Choosing an appropriate algorithm to track the maximum power point is of paramount importance as it improves the efficiency of the PV system by a significant margin. This paper focuses on evaluating and comparing various MPPT algorithms that fall under different categories such as conventional, soft computing and hybrid methods. These algorithms are simulated and tested on a partially shaded PV system for various performance parameters in MATLAB/Simulink environment.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123041198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862387
Balvinder Singh, S. K. Bishnoi, Mandeep Sharma
This work proposes the strategy of the proportional-integral-derivative regulator with noise reduction filter (PIDF) for frequency and tie-line power flow regulation of a two-area Photovoltaic (PV) and Thermal power plant interconnected power system. The Supercapacitor energy storage (SCES) unit has also been employed to refine the power system's steady-state and dynamic performance. A recently designed new metaheuristic optimization technique dwarf mongoose optimization algorithm (DMO) has been employed to fine-tune the controllable parameters of PIDF and proportional-integral (PI) regulators. This is an earlier attempt of supercapacitor unit and DMO algorithm in such hybrid unit. The superiority of the DMO-tuned PIDF regulator has been validated in contrary with PI regulators optimized with various renowned algorithms i.e. genetic algorithm and firefly algorithm in the presented power system. Further, the performance of the studied controller has been validated with various performance indicators. The robustness analysis of the presented controller has been checked with various ambiguities applied by changing system parameters.
{"title":"Frequency Regulation Scheme for PV integrated Power System using Energy Storage Device","authors":"Balvinder Singh, S. K. Bishnoi, Mandeep Sharma","doi":"10.1109/ICICCSP53532.2022.9862387","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862387","url":null,"abstract":"This work proposes the strategy of the proportional-integral-derivative regulator with noise reduction filter (PIDF) for frequency and tie-line power flow regulation of a two-area Photovoltaic (PV) and Thermal power plant interconnected power system. The Supercapacitor energy storage (SCES) unit has also been employed to refine the power system's steady-state and dynamic performance. A recently designed new metaheuristic optimization technique dwarf mongoose optimization algorithm (DMO) has been employed to fine-tune the controllable parameters of PIDF and proportional-integral (PI) regulators. This is an earlier attempt of supercapacitor unit and DMO algorithm in such hybrid unit. The superiority of the DMO-tuned PIDF regulator has been validated in contrary with PI regulators optimized with various renowned algorithms i.e. genetic algorithm and firefly algorithm in the presented power system. Further, the performance of the studied controller has been validated with various performance indicators. The robustness analysis of the presented controller has been checked with various ambiguities applied by changing system parameters.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126475684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862460
Satyabrata Sahoo, P. S. Puhan, G. Panda
Speed of wind is stochastic in nature due to evolution of earth and un-even distribution of sun ray on the surface of earth. So also wind power from wind turbine, because wind power is cubically proportional to the wind speed. This paper focuses on the design and implementation of two fuzzy logic controllers for a variable speed doubly fed induction generator (DFIG) based wind turbine with above rated wind speed. The objective is to control the turbine output power by controlling generator torque and pitch angle simultaneously. To achieve this objective, a MATLAB-SIMULINK setup is designed and from the results it is found that the two fuzzy controllers gives the excellent performance.
{"title":"Power control of a variable speed DFIG based wind turbine using two fuzzy logic controllers","authors":"Satyabrata Sahoo, P. S. Puhan, G. Panda","doi":"10.1109/ICICCSP53532.2022.9862460","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862460","url":null,"abstract":"Speed of wind is stochastic in nature due to evolution of earth and un-even distribution of sun ray on the surface of earth. So also wind power from wind turbine, because wind power is cubically proportional to the wind speed. This paper focuses on the design and implementation of two fuzzy logic controllers for a variable speed doubly fed induction generator (DFIG) based wind turbine with above rated wind speed. The objective is to control the turbine output power by controlling generator torque and pitch angle simultaneously. To achieve this objective, a MATLAB-SIMULINK setup is designed and from the results it is found that the two fuzzy controllers gives the excellent performance.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126619553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862487
Aryan Dali, A. Mane, Husain Challawala, Jai Damani
For corporate and private groups, providing security and secure access to workplaces has long been a top priority. From keypads to fingerprint sensors, there have been advancements in the way security is delivered over the years. Even these, though, have their flaws and weaknesses. Computer Vision is a more powerful and modern technique which can be integrated into a security system for the purpose of increasing the overall level of security. This project aims to create a security system that utilizes this software as well as a temperature sensing module to enable secure, monitored and contact-less, access. The facial authentication is achieved with a help of a webcam connected to the system and a python program on which this is executed, after which the main control is transferred to the Arduino UNO Microcontroller board which tests the two incoming inputs and provides access based on its decision. A training model is employed which studies the given images of the users and detects them when entry is requested.
{"title":"Implementation of Security System Using Computer Vision and Temperature Detection","authors":"Aryan Dali, A. Mane, Husain Challawala, Jai Damani","doi":"10.1109/ICICCSP53532.2022.9862487","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862487","url":null,"abstract":"For corporate and private groups, providing security and secure access to workplaces has long been a top priority. From keypads to fingerprint sensors, there have been advancements in the way security is delivered over the years. Even these, though, have their flaws and weaknesses. Computer Vision is a more powerful and modern technique which can be integrated into a security system for the purpose of increasing the overall level of security. This project aims to create a security system that utilizes this software as well as a temperature sensing module to enable secure, monitored and contact-less, access. The facial authentication is achieved with a help of a webcam connected to the system and a python program on which this is executed, after which the main control is transferred to the Arduino UNO Microcontroller board which tests the two incoming inputs and provides access based on its decision. A training model is employed which studies the given images of the users and detects them when entry is requested.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122830297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862463
Babita Panda, B. Panda, Subhrajeet Rout
The conventional energy sources that are used today are the most reliable sources discovered till date. But its environmental consequences and exhaustibility are the sole reason for switching to the renewable energy sources. Despite of all its environmental benefits and inexhaustible nature, it is very unpredictable and hence not at all reliable. So instead of depending on a single renewable source world is moving towards a hybrid source. So the idea of smart integration of the renewable energy sources with grid or battery bank for standalone system is coming into picture. The core objective of this paper is to create a smart sensor-based network for automatic control and switching of the solar and wind integrated system depending upon the nature of resource available, demand and utilizing from the auxiliary supply when needed. This is a theoretical model with the objective is to enhance the efficiency and reliability of the system. A part of this model is modelled in the MATLAB/Simulink Software to check the utility of the model.
{"title":"Automatic Control Strategy for Smart Integration of Renewable Sources","authors":"Babita Panda, B. Panda, Subhrajeet Rout","doi":"10.1109/ICICCSP53532.2022.9862463","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862463","url":null,"abstract":"The conventional energy sources that are used today are the most reliable sources discovered till date. But its environmental consequences and exhaustibility are the sole reason for switching to the renewable energy sources. Despite of all its environmental benefits and inexhaustible nature, it is very unpredictable and hence not at all reliable. So instead of depending on a single renewable source world is moving towards a hybrid source. So the idea of smart integration of the renewable energy sources with grid or battery bank for standalone system is coming into picture. The core objective of this paper is to create a smart sensor-based network for automatic control and switching of the solar and wind integrated system depending upon the nature of resource available, demand and utilizing from the auxiliary supply when needed. This is a theoretical model with the objective is to enhance the efficiency and reliability of the system. A part of this model is modelled in the MATLAB/Simulink Software to check the utility of the model.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122834534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Multilevel Inverter (MLI) comes in large range of levels and the study of MLI took an acceleration in recent time. MLI has wide range of use in moderate voltage and large power applications. For utilization, the inverter must satisfy the voltage requirement as desired by the load, so controlling the response of the inverter is a matter of concern. In this paper, intelligent algorithm-based Proportional Integral (PI) controller is implemented for nourishing the output response of the inverter. The Regulation of Inverter output voltage is done by minimizing the “Integral Time Absolute Error” (ITAE). Here ITAE is considered as the objective to be minimized using stochastic optimization techniques. Optimization techniques like, “Particle Swarm Optimization” (PSO), “Genetic Algorithm” (GA) and “Artificial Bee Colony” (ABC) are implemented and compared. A seven level H-Bridge based Cascaded Multi-level Inverter (HBC MLI) is simulated using “Level Shifted Pulse Width Modulation” (LS PWM) technique. ABC optimization technique proved to be better than the other techniques in terms of better fitness.
{"title":"Intelligent control based level shifted PWM Multilevel Inverter","authors":"Neelakantha Guru, Abinash Prusty, Siddhanta Pani, Kausik Nanda, Ajit Kumar Barisal","doi":"10.1109/ICICCSP53532.2022.9862462","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862462","url":null,"abstract":"The Multilevel Inverter (MLI) comes in large range of levels and the study of MLI took an acceleration in recent time. MLI has wide range of use in moderate voltage and large power applications. For utilization, the inverter must satisfy the voltage requirement as desired by the load, so controlling the response of the inverter is a matter of concern. In this paper, intelligent algorithm-based Proportional Integral (PI) controller is implemented for nourishing the output response of the inverter. The Regulation of Inverter output voltage is done by minimizing the “Integral Time Absolute Error” (ITAE). Here ITAE is considered as the objective to be minimized using stochastic optimization techniques. Optimization techniques like, “Particle Swarm Optimization” (PSO), “Genetic Algorithm” (GA) and “Artificial Bee Colony” (ABC) are implemented and compared. A seven level H-Bridge based Cascaded Multi-level Inverter (HBC MLI) is simulated using “Level Shifted Pulse Width Modulation” (LS PWM) technique. ABC optimization technique proved to be better than the other techniques in terms of better fitness.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"101 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131197276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862473
Junaid Hussain Lanker, Ravi Bhushan, Neeraj Gupta
This paper presents multi area load frequency control (LFC) using artificial intelligence techniques in a power system comprising of non-reheat thermal power units for a three area interconnected power system. In this proposed scheme, fuzzy logic, Artificial Neural Network and Genetic Algorithm technique has been used to tune the classical PID controller for each area. Step load disturbance has been applied to assess its consequence on the dynamic performance of power system. The results are compared and appreciable change i.e minimum overshoot/undershoot, less settling time and a better response is achieved. For simulation of the controllers MATLAB simulation software is used.
{"title":"Load Frequency Control of Multi Area Power System Using Meta-heuristic/Artificial Intelligence Techniques","authors":"Junaid Hussain Lanker, Ravi Bhushan, Neeraj Gupta","doi":"10.1109/ICICCSP53532.2022.9862473","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862473","url":null,"abstract":"This paper presents multi area load frequency control (LFC) using artificial intelligence techniques in a power system comprising of non-reheat thermal power units for a three area interconnected power system. In this proposed scheme, fuzzy logic, Artificial Neural Network and Genetic Algorithm technique has been used to tune the classical PID controller for each area. Step load disturbance has been applied to assess its consequence on the dynamic performance of power system. The results are compared and appreciable change i.e minimum overshoot/undershoot, less settling time and a better response is achieved. For simulation of the controllers MATLAB simulation software is used.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133196451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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