Published: Jun 29, 2022
Converted to Gold OA:
DOI: 10.4018/IJSESD.302462
Volume 13
Meet R. Patel, Amit Vilas Sant
Dynamic voltage restorer (DVR) is usually employed to mitigate sag/swell in supply voltages so that load voltage is regulated at nominal value. This paper proposes artificial neural network (ANN)...
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Dynamic voltage restorer (DVR) is usually employed to mitigate sag/swell in supply voltages so that load voltage is regulated at nominal value. This paper proposes artificial neural network (ANN) based reference voltage generation (RVG) scheme for the control of 3-phase DVR. ANN replaces the traditional control of DVR, which involves abc-dq0 and dq0-abc transformations, estimation of d-q axes voltage errors and proportional-integral (PI) controllers along with their tuning. In proposed control scheme, the feedforward ANN utilizes present and previous samples of supply voltage and peak magnitude of load voltage for RVG, which when impressed across the injection transformer results in sag/swell mitigation. It is important to note that the proposed scheme is free from transformations and controller tuning. The performance of 3-phase DVR with the proposed ANN based RVG scheme results in standard IEEE-519 compliant operation with load voltage regulated at nominal value even under sag/swell in supply voltage. This is verified through MATLAB/SIMULINK based simulaiton studies.
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Patel, Meet R., and Amit Vilas Sant. "ANN-Based Reference Voltage Generation Scheme for Control of Dynamic Voltage Restorer." IJSESD vol.13, no.2 2022: pp.1-16. https://doi.org/10.4018/IJSESD.302462
APA
Patel, M. R. & Sant, A. V. (2022). ANN-Based Reference Voltage Generation Scheme for Control of Dynamic Voltage Restorer. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-16. https://doi.org/10.4018/IJSESD.302462
Chicago
Patel, Meet R., and Amit Vilas Sant. "ANN-Based Reference Voltage Generation Scheme for Control of Dynamic Voltage Restorer," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-16. https://doi.org/10.4018/IJSESD.302462
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Published: Jun 15, 2022
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DOI: 10.4018/IJSESD.302463
Volume 13
Dilip Yadav, Nidhi Singh
In this article, Matlab & Simulation software is used for analysis and comparison of 8(Eight) different MPPT. Different MPPT techniques that have been considered in this article are PWM-based...
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In this article, Matlab & Simulation software is used for analysis and comparison of 8(Eight) different MPPT. Different MPPT techniques that have been considered in this article are PWM-based, Perturb and Observation (P&O), Incremental Conductance (InC), and Modified InC (MIC) that comes under the Conventional Method. In the Artificial Intelligence, Fuzzy Logic Controller (FLC), Artificial Neural Network (ANN) is chosen and in Hybrid method Neuro-Fuzzy Network (NFN) and Adaptive Neural Fuzzy Inference System (ANFIS) has been considered. PV module of 852.2 Watt is designed with the Boost Converter which can boost the voltage up to 185 Volt for all MPPT. A set of data has been taken for FLC, ANN, NFN, and ANFIS. After implementation, the result has been analyzed for standard test conditions and for the different environmental conditions. In this article, both irradiation and the temperature have been varied together for all MPPT rest are kept constant.
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Yadav, Dilip, and Nidhi Singh. "Comparative Analysis of Conventional, Artificial Intelligence, and Hybrid-Based MPPT Technique for 852.6-Watt PV System." IJSESD vol.13, no.2 2022: pp.1-23. https://doi.org/10.4018/IJSESD.302463
APA
Yadav, D. & Singh, N. (2022). Comparative Analysis of Conventional, Artificial Intelligence, and Hybrid-Based MPPT Technique for 852.6-Watt PV System. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-23. https://doi.org/10.4018/IJSESD.302463
Chicago
Yadav, Dilip, and Nidhi Singh. "Comparative Analysis of Conventional, Artificial Intelligence, and Hybrid-Based MPPT Technique for 852.6-Watt PV System," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-23. https://doi.org/10.4018/IJSESD.302463
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Published: Jun 29, 2022
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DOI: 10.4018/IJSESD.302464
Volume 13
Vikram Kumar, Vipan Kakkar, Krishan Kumar, Vinaya Rana
High frequency isolated bidirectional dual-active-bridge (HFIB-DAB) DC-DC converter is a bidirectional DC-DC converter. A hybrid power modulation scheme is introduced, resulting in improved...
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High frequency isolated bidirectional dual-active-bridge (HFIB-DAB) DC-DC converter is a bidirectional DC-DC converter. A hybrid power modulation scheme is introduced, resulting in improved efficiency over complete power range. This proposed hybrid modulation scheme combines two different types of power modulation techniques. Up to certain level of power modulation, the DPS power modulation technique is more efficient and after that the efficient performance of RF power modulation technique supersedes over the other. A switch over provision is proposed to choose the most efficient one for a given power transfer requirement in the HFIB-DAB DC-DC converter by using the proposed reconfigurable resonant tank network. The results are verified by using 4 kW HFIB-DAB DC-DC converter operating at 50 kHz. It is designed to interface two 400V DC bus voltages on either side of the HFIB-DAB DC-DC converter. The validation is done by using MATLAB/Simulink package and a maximum power transfer efficiency of 99.94% is achieved.
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Kumar, Vikram, et al. "Hybrid Power Modulation Scheme for High Frequency Isolated Bidirectional Dual-Active-Bridge DC-DC Converter." IJSESD vol.13, no.2 2022: pp.1-21. https://doi.org/10.4018/IJSESD.302464
APA
Kumar, V., Kakkar, V., Kumar, K., & Rana, V. (2022). Hybrid Power Modulation Scheme for High Frequency Isolated Bidirectional Dual-Active-Bridge DC-DC Converter. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-21. https://doi.org/10.4018/IJSESD.302464
Chicago
Kumar, Vikram, et al. "Hybrid Power Modulation Scheme for High Frequency Isolated Bidirectional Dual-Active-Bridge DC-DC Converter," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-21. https://doi.org/10.4018/IJSESD.302464
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Published: Jun 29, 2022
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DOI: 10.4018/IJSESD.302465
Volume 13
Ibrahim Abdulhamid Datti, Shiva Pujan Jaiswal, Jaya Chitra, Mustapha Muhammad Saidu
In this work, an algorithm based on mayfly is presented towards the optimal capacitor placement for the minimization of losses and improvement of the voltage profile. It employs the concept of fixed...
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In this work, an algorithm based on mayfly is presented towards the optimal capacitor placement for the minimization of losses and improvement of the voltage profile. It employs the concept of fixed and switched capacitor with the former serves as an alternative to later. A factor based on loss sensitivity was employed in locating a candidate bus, this helps in search space reduction and optimal sizing and placement of capacitor were realized using the mayfly algorithm. The effectiveness of this technique was tested on the standard 10 bus and 15 bus radial distribution system which upon comparison the result surpassed that of the previous method .
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Datti, Ibrahim Abdulhamid, et al. "A Mayfly Algorithm-Based Optimal Placement of Capacitor for the Minimization of Losses and Improvement of Voltage Profile in a Microgrid." IJSESD vol.13, no.2 2022: pp.1-24. https://doi.org/10.4018/IJSESD.302465
APA
Datti, I. A., Jaiswal, S. P., Chitra, J., & Saidu, M. M. (2022). A Mayfly Algorithm-Based Optimal Placement of Capacitor for the Minimization of Losses and Improvement of Voltage Profile in a Microgrid. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-24. https://doi.org/10.4018/IJSESD.302465
Chicago
Datti, Ibrahim Abdulhamid, et al. "A Mayfly Algorithm-Based Optimal Placement of Capacitor for the Minimization of Losses and Improvement of Voltage Profile in a Microgrid," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-24. https://doi.org/10.4018/IJSESD.302465
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Published: Jun 29, 2022
Converted to Gold OA:
DOI: 10.4018/IJSESD.302466
Volume 13
Mohsina Nazir, Arjun Tyagi, V. V. Tyagi, Krishan Kumar, Ram Krishan
Due to the rapid increase in energy demand and associated environmental effects, renewable energy especially solar energy is being prioritized and promoted as the best choice for meeting energy...
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Due to the rapid increase in energy demand and associated environmental effects, renewable energy especially solar energy is being prioritized and promoted as the best choice for meeting energy demands and mitigating environmental issues. Solar energy is effectively utilized in the distributed generation (DG). The main component of the solar photovoltaic system used for converting produced DC power into AC power is the solar inverter. The solar inverter can supply both active and reactive power. However, conventional solar inverters are configured for producing only active power. Demand for reactive power is served by grid only. Therefore, the solar inverters can be upgraded to utilize their reactive power capability also. Which will decrease the reactive power requirement from the grid, resulting in the mitigation of various power quality issues. Reactive power compensation by a smart solar inverter does not require much additional cost or system resources. This article reviews various reactive power support and control techniques provided by the solar inverter.
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Nazir, Mohsina, et al. "A Review on Reactive Power Capability of Distributed Solar PV Inverter in Distribution Systems." IJSESD vol.13, no.2 2022: pp.1-10. https://doi.org/10.4018/IJSESD.302466
APA
Nazir, M., Tyagi, A., Tyagi, V. V., Kumar, K., & Krishan, R. (2022). A Review on Reactive Power Capability of Distributed Solar PV Inverter in Distribution Systems. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-10. https://doi.org/10.4018/IJSESD.302466
Chicago
Nazir, Mohsina, et al. "A Review on Reactive Power Capability of Distributed Solar PV Inverter in Distribution Systems," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-10. https://doi.org/10.4018/IJSESD.302466
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Published: Jul 13, 2022
Converted to Gold OA:
DOI: 10.4018/IJSESD.302467
Volume 13
Namrta Sharma, C. B. Vishwakarma
A simplification method is suggested in this paper to simplify a large-scale dynamic system using logarithmic pole clustering and moments matching using Pade approximations. The denominator...
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A simplification method is suggested in this paper to simplify a large-scale dynamic system using logarithmic pole clustering and moments matching using Pade approximations. The denominator polynomial of the simplified model is computed by using logarithmic pole clustering while the numerator coefficients of the same model are determined by matching the time-moments of the original large-scale system. The viability of the proposed method has been tested on few large-scale systems taken from the literature.
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Sharma, Namrta, and C. B. Vishwakarma. "A Hybrid Approach for Simplification Using Logarithmic Clustering and Moments Matching." IJSESD vol.13, no.2 2022: pp.1-15. https://doi.org/10.4018/IJSESD.302467
APA
Sharma, N. & Vishwakarma, C. B. (2022). A Hybrid Approach for Simplification Using Logarithmic Clustering and Moments Matching. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-15. https://doi.org/10.4018/IJSESD.302467
Chicago
Sharma, Namrta, and C. B. Vishwakarma. "A Hybrid Approach for Simplification Using Logarithmic Clustering and Moments Matching," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-15. https://doi.org/10.4018/IJSESD.302467
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Published: Jun 15, 2022
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DOI: 10.4018/IJSESD.302468
Volume 13
Ravindra Kumar Yadav, P. N. Hrishikesha, Vikas Singh Bhadoria
Electrical energy is playing an important role in our day-to-day life. The burden on utility is increasing continuously due to huge utilization of electrical energy thereby utilities are suffering...
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Electrical energy is playing an important role in our day-to-day life. The burden on utility is increasing continuously due to huge utilization of electrical energy thereby utilities are suffering from peak shortage. The concept of demand side management can be applied to relieve the utilities from suffering peak load burden. In this paper, a Lowest Tariff Load Shifting (LTLS) approach of DSM is suggested to flatten the load curve as desired by the utilities. Residential and commercial loads are considered for validation of proposed algorithm. The use of DSM techniques can delay the expansion of power system for short duration such as few months or years. This paper produces a flatten load curve by applying LTLS technique of DSM and results demonstrates cost saving and peak load reduction in residential as well as commercial area.
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Yadav, Ravindra Kumar, et al. "Lowest Tariff Load Shifting Demand Side Management Technique in Smart Grid Environment." IJSESD vol.13, no.2 2022: pp.1-16. https://doi.org/10.4018/IJSESD.302468
APA
Yadav, R. K., Hrishikesha, P. N., & Bhadoria, V. S. (2022). Lowest Tariff Load Shifting Demand Side Management Technique in Smart Grid Environment. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-16. https://doi.org/10.4018/IJSESD.302468
Chicago
Yadav, Ravindra Kumar, P. N. Hrishikesha, and Vikas Singh Bhadoria. "Lowest Tariff Load Shifting Demand Side Management Technique in Smart Grid Environment," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-16. https://doi.org/10.4018/IJSESD.302468
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Published: Jul 15, 2022
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DOI: 10.4018/IJSESD.302469
Volume 13
Daniel A., Partheeban Nagappan
Cloud Computing Environment (CCE) is a newly rudimentary knowledge in the IT industry. Central to these problems lies in the establishment of an active LB algorithm. The network load can be CPU...
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Cloud Computing Environment (CCE) is a newly rudimentary knowledge in the IT industry. Central to these problems lies in the establishment of an active LB algorithm. The network load can be CPU load, memory limit, postponement, or system load. In the proposed algorithm, Load Balancing (LB) done by considering priority policy. An Efficient and Dynamic Load Balancing Approach in Cloud Computing (EDBA-CC) proposed, and the related algorithm executed on CloudSim (CS). A resource allocation approach that takes into account Resource Utilization (RU) would lead to better energy efficiency. The outcomes indicate the effectiveness of the proposed algorithm. The outcomes exhibited that the EDBA-CC algorithm reduced Response Time (RT). The decreasing in RT is about 2.23 ms when the instruction length was 275 Byte, and the decreasing became more obviously with 10.12 ms for RT and 5.54 ms for RT when the instruction length was 2000 Byte.
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DOI: 10.4018/IJSESD.302470
Volume 13
Abha Kumari, C. B. Vishwakarma
The authors proposed an evolutionary-optimization technique known as the Genetic Algorithm (GA) for the optimization and order reduction of high order systems (HOSs) in the time domain. As we know a...
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The authors proposed an evolutionary-optimization technique known as the Genetic Algorithm (GA) for the optimization and order reduction of high order systems (HOSs) in the time domain. As we know a lot of optimization techniques are available in the frequency domain but limited in the time domain. The proposed technique is applicable for time-domain systems. The reduced model (RM) obtained by the proposed technique can be replaced with the original HOS as it retains all the important time and frequency response specifications of the original HOS. The efficacy of the proposed method has been tested on few numerical examples from the literature. The important time and frequency response specifications of the proposed RM are compared with RM obtained by recent techniques using MATLAB/Simulink. The proposed algorithm is applicable for Single-input single-output (SISO) and multi-input multi-output (MIMO) linear, nonlinear, time-invariant, and time-variant systems.
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Kumari, Abha, and C. B. Vishwakarma. "An Evolutionary Optimization Technique for Time Domain Modelling." IJSESD vol.13, no.2 2022: pp.1-13. https://doi.org/10.4018/IJSESD.302470
APA
Kumari, A. & Vishwakarma, C. B. (2022). An Evolutionary Optimization Technique for Time Domain Modelling. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-13. https://doi.org/10.4018/IJSESD.302470
Chicago
Kumari, Abha, and C. B. Vishwakarma. "An Evolutionary Optimization Technique for Time Domain Modelling," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-13. https://doi.org/10.4018/IJSESD.302470
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Published: Jul 13, 2022
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DOI: 10.4018/IJSESD.302471
Volume 13
Suman Lata, Sandip Dhakal, H. K. Verma, Shiva Pujan Jaiswal, Vikas Singh Bhadoria
The control and monitoring system presented is based on Supervisory Control and Data Acquisition concept. It provides GUI service for operators and data visualization capability to display data...
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The control and monitoring system presented is based on Supervisory Control and Data Acquisition concept. It provides GUI service for operators and data visualization capability to display data trends using an appropriate DBMS (database management system). The SCADA system also incorporates Alarm and PAS (public address system) for operational and functional safety. The remote control of the gates is carried out through PC based SCADA software from a centrally located control room. The SCADA system consists of a Master Terminal Unit (MTU) located in the control room, MicroLogix 1400 PLC-based Remote Terminal Units (RTUs) located in the control panels of dam gates, and ultrasonic sensors equipped with MODBUS/ RTU interface to measure upstream and downstream water levels. RTUs-MTU communication is realized using a dedicated LAN. This paper presents the system design along with hardware layout and software programs for both, RTUs and MTU. The program for PLC has been written in ladder logic using RSLogix 500, a powerful development software from Rockwell Automation.
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Lata, Suman, et al. "Development of PLC and SCADA-Based Automation Systems for Control of Irrigation Dam Gates." IJSESD vol.13, no.2 2022: pp.1-20. https://doi.org/10.4018/IJSESD.302471
APA
Lata, S., Dhakal, S., Verma, H. K., Jaiswal, S. P., & Bhadoria, V. S. (2022). Development of PLC and SCADA-Based Automation Systems for Control of Irrigation Dam Gates. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-20. https://doi.org/10.4018/IJSESD.302471
Chicago
Lata, Suman, et al. "Development of PLC and SCADA-Based Automation Systems for Control of Irrigation Dam Gates," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-20. https://doi.org/10.4018/IJSESD.302471
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Published: Nov 18, 2022
Converted to Gold OA:
DOI: 10.4018/IJSESD.314214
Volume 13
Kirti Pal, Omveer Singh
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Pal, Kirti, and Omveer Singh. "Special Issue on Advanced Innovation and Technology With Sustainability Engineering." IJSESD vol.13, no.2 2022: pp.1-1. https://doi.org/10.4018/IJSESD.314214
APA
Pal, K. & Singh, O. (2022). Special Issue on Advanced Innovation and Technology With Sustainability Engineering. International Journal of Social Ecology and Sustainable Development (IJSESD), 13(2), 1-1. https://doi.org/10.4018/IJSESD.314214
Chicago
Pal, Kirti, and Omveer Singh. "Special Issue on Advanced Innovation and Technology With Sustainability Engineering," International Journal of Social Ecology and Sustainable Development (IJSESD) 13, no.2: 1-1. https://doi.org/10.4018/IJSESD.314214
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