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EV Charging Station Placement using Nature-Inspired Optimisation Algorithms 基于自然优化算法的电动汽车充电站布局
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085885
Furkan Ahmad, Luluwah Al-Fagih, S. A. Qadir, M. Khalid
{"title":"EV Charging Station Placement using Nature-Inspired Optimisation Algorithms","authors":"Furkan Ahmad, Luluwah Al-Fagih, S. A. Qadir, M. Khalid","doi":"10.1109/PIECON56912.2023.10085885","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085885","url":null,"abstract":"Electric Vehicle charging station (EVCS) infrastructure planning involves developing and implementing strategies, policies, and infrastructure in terms of optimal placement, sizing, power flow, etc., in the electric distribution network (DN) and transportation network (TN) to support the widespread adoption of EVs. Various Nature-inspired algorithms (NIOs) have offered an adaptive platform for optimal electric vehicle charging infrastructure planning. This manuscript comprehensively reviews the application of different NIOs algorithms in optimal EVCS placement.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132603911","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}
引用次数: 1
Mango Leaf disease Classification using deep learning Hybrid Model 基于深度学习混合模型的芒果叶病分类
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085869
Sachin Jain, Preeti Jaidka
{"title":"Mango Leaf disease Classification using deep learning Hybrid Model","authors":"Sachin Jain, Preeti Jaidka","doi":"10.1109/PIECON56912.2023.10085869","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085869","url":null,"abstract":"Plant diseases are essential as they result in a severe reduction in the quality and quantity of agricultural products. Therefore, early detection and diagnosis of these diseases are imperative. To this end, we propose a deep learning-based approach that automates classifying mango leaf diseases. Deep learning-based classification methods like support vector machines classify various image databases and give the best performance in image segmentation. Here we proposed a way to extract deep qualities of Images by customizing the SVM and then applying the SVM and SGD (hybrid) method. We use the Basic Harumanis Mango Leaves 2021 Dataset for this research. Experimental results show that the suggested approach gives an accuracy of 97.7%.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131122125","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}
引用次数: 1
Adaptive integral velocity sliding mode control approach-based optimal AGWO-IMC-PID controller design and LFC for LSPS 基于自适应积分速度滑模控制方法的最优AGWO-IMC-PID控制器设计与LFC控制
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085790
Rahul Singh, J. Kumar, Jay Singh, Anurag Singh
{"title":"Adaptive integral velocity sliding mode control approach-based optimal AGWO-IMC-PID controller design and LFC for LSPS","authors":"Rahul Singh, J. Kumar, Jay Singh, Anurag Singh","doi":"10.1109/PIECON56912.2023.10085790","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085790","url":null,"abstract":"This work develops an optimal AGWO IMC PID controller and derating using AGWO (Adaptive Gray Wolf Optimization Algorithm) for load frequency control (LFC) of high-power systems using model approximation methods. An ideal low-dimensional model (ROM) of the studied large-scale energy system is identified by reducing the integral squared error (ISE) between step responses, a performance parameter used to quantify performance. Lyapunov stability theory produces strong linear matrix inequalities that guarantee the integrity of the entire energy system. Second, the LFC design is done using an optimized ROM rather than a high-power grid concept. AGWO’s new IMC-PID controller architecture improves power system dynamic stability by providing excellent reference input tracking performance, robust spurious rejection, and improved reference input tracking performance. In comparison to earlier studies, the simulation results clearly demonstrate a significant improvement in the LFC’s reaction to load disturbances and the existence of uncertainties.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126894485","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}
引用次数: 0
AVOA-based PID+IDF controller for frequency control of isolated hybrid thermal power system 基于avoa的PID+IDF隔离型混合火电系统频率控制
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085725
T. Veerendar, D. Kumar
{"title":"AVOA-based PID+IDF controller for frequency control of isolated hybrid thermal power system","authors":"T. Veerendar, D. Kumar","doi":"10.1109/PIECON56912.2023.10085725","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085725","url":null,"abstract":"This paper presents a load frequency controller (LFC) of an isolated hybrid thermal power system (IhTPS) integrated with a distributed generation unit to reduce frequency deviations (FD) that appeared after adding the load demand and wind power fluctuations. A proportional-integral-derivative plus integral-derivative filter (PID+IDF) controller is proposed as an LFC or a secondary controller in the frequency control area to eliminate the FD and steady-state error of the IhTPS response. To obtain an optimistic result of IhTPS, a recently developed African Vultures optimization algorithm (AVOA) is used for proper tuning of the controller gains by minimizing the integral of time multiplied absolute error criterion. The efficacy of the optimized PID+IDF controller performance is examined by considering different case studies. It is observed from simulated system results that the proposed AOVA-optimized PID+IDF controller delivers better performance in terms of fewer oscillations, lower peak under/overshoots, and settling time of FD. Further, the sensitivity analysis is performed to validate the robustness of the proposed controller in the presence of random wind speed and parameter uncertainties.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124502209","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}
引用次数: 1
Privacy Preservation Using Random Forest For Healthcare Data In Case Of Smart Cities 在智慧城市的情况下，使用随机森林保护医疗数据的隐私
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085763
Sunil Kumar, A. Devi
{"title":"Privacy Preservation Using Random Forest For Healthcare Data In Case Of Smart Cities","authors":"Sunil Kumar, A. Devi","doi":"10.1109/PIECON56912.2023.10085763","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085763","url":null,"abstract":"The healthcare sector all over the world is going through an amount of change that may be considered to be typical. There will be a large and profound shift in the clinical, operational, and financial paradigms, as well as in the economy on a worldwide scale, as a result of the digitization of patient data and health information. In this paper, ML is used as a base aggregator to improve the privacy of healthcare users in smart cities","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122132838","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}
引用次数: 0
Optimal Power Point Detection in Dynamic Partial Shading of PV Systems Using Darts Game Optimizer Algorithm 基于飞镖游戏优化算法的光伏系统动态局部遮阳最优功率点检测
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085785
Mounica Patil, K. Archana, Andalu Gopagoni
{"title":"Optimal Power Point Detection in Dynamic Partial Shading of PV Systems Using Darts Game Optimizer Algorithm","authors":"Mounica Patil, K. Archana, Andalu Gopagoni","doi":"10.1109/PIECON56912.2023.10085785","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085785","url":null,"abstract":"This study proposes the darts game optimizer (DGO), a revolutionary game-based optimization technique. The unique aspect of this inquiry is the DGO design, which is based on a simulation of the darts game’s regulations. In comparison to other non-renewable sources, solar energy produced by a PV production system is the cleanest, pollution-free, and most practical form of electrical energy. The irradiance and temperature parameters of the atmosphere affect the power generated by PV generation systems. The generated power of the panels will be impacted by PV partial shadowing circumstances. Power losses increases and hence efficiency reduces due to partial shading. Extraction of maximum power from PV systems using MPPT algorithms becomes difficult during partial shading conditions due to increased local optimal peak powers. This paper proposes a game-based optimization algorithm termed Darts Game optimization (DGO) to extract maximum power by tracking global maximum point from local optimal peak powers. The results presented in the paper demonstrate the capacity of the proposed DGO algorithm in tracking the global maximum with quicker convergence, lesser settling time, and negligible power oscillation. The practicability and efficacy of the proposed DGO-based MPPT have been validated using simulation, and the results are compared with Perturb & Observe and Particle Swarm optimization based MPPT algorithms. Presented results evidently validate its ability in tracking the global maximum.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123391212","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}
引用次数: 0
Reliability Analysis of Power System Employed by High Power Consumption Data Center 高功耗数据中心电力系统可靠性分析
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085721
Jorge Piloto, Raul Ribeiro, R. Sarker, Mohd Tariq, A. Sarwat
{"title":"Reliability Analysis of Power System Employed by High Power Consumption Data Center","authors":"Jorge Piloto, Raul Ribeiro, R. Sarker, Mohd Tariq, A. Sarwat","doi":"10.1109/PIECON56912.2023.10085721","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085721","url":null,"abstract":"In this paper, we analyze the reliability of a power system employed in large data centers with high power demand. As an emergency response system, it is crucial to ensure that the data center retains its functionality in the event of an emergency. This assessment aims to have a seamless transition with high reliability. Continuous Markov process (CMP) and Monte Carlo simulation (MCS) provide an exponential index of reliability based on the number of nines in the result. The model under test uses a four-state matrix/equation based on the availability and failure states for CMP and MCS. Finally, a discussion provide insight in how these two methods achieve similar results with different mathematical approaches.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125564148","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}
引用次数: 0
Optimal BESS Compensator Design for Fast Frequency Response 快速频率响应优化BESS补偿器设计
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085831
S. Nema, Ashish Mathur, Vivek Prakash, H. Pandžić
{"title":"Optimal BESS Compensator Design for Fast Frequency Response","authors":"S. Nema, Ashish Mathur, Vivek Prakash, H. Pandžić","doi":"10.1109/PIECON56912.2023.10085831","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085831","url":null,"abstract":"Bulk integration of Renewable Energy Sources (RES) into the power grids may cause reduced system inertia and high Rate-of-Change-of-Frequency (RoCoF), which calls for an improved Fast Frequency Response (FFR). FFR can be delivered by optimal utilization of a Battery Energy Storage System (BESS). In this paper, a compensator for BESS is designed to provide FFR. BESS is deployed in a sequence (fraction of the total capacity) rather than integrating the entire capacity into the grid at the time of grid frequency events. Optimal BESS compensator parameters with an inverter are obtained using various performance indices estimated by multiple metaheuristic optimization algorithms. The system frequency dynamics are presented with and without considering the BESS response. A numerical analysis reveals that the proposed BESS compensator improves system performance by 80.9% at the time of grid frequency events.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120958438","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}
引用次数: 1
Simulation, Design and Modeling of Lead-Free Double Halide Perovskite Solar Cell 无铅双卤化物钙钛矿太阳能电池的仿真、设计与建模
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085788
Sakshi Sharma, R. Pachauri, Renu Mavi, Shashikant, A. Minai
{"title":"Simulation, Design and Modeling of Lead-Free Double Halide Perovskite Solar Cell","authors":"Sakshi Sharma, R. Pachauri, Renu Mavi, Shashikant, A. Minai","doi":"10.1109/PIECON56912.2023.10085788","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085788","url":null,"abstract":"Recently, Perovskite solar photovoltaic (PV) cells are in trends nowadays. Till now, 22.01parcent efficiency is reported for double halide Perovskite solar cells in literature. In this work lead-free double halide Perovskite solar cell is designed and analyzed. The highest efficiency of 20.49% is achieved for the designed double halide device. The reported work can be further carry forward for tandem approach performance analysis of developed PV cell device as observed in terms of current density, power conversion density (PCE), fill factor (FF) etc.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682111","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}
引用次数: 0
Real-Time Simulation of Battery ElectricVehiclewith PI Controller Tuned by Particle Swarm Optimization (PSO) algorithm using OPAL-RT 基于OPAL-RT的粒子群优化PI控制器的纯电动汽车实时仿真
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085822
Huzaifa Naz, M. Jamil, S. Kirmani
{"title":"Real-Time Simulation of Battery ElectricVehiclewith PI Controller Tuned by Particle Swarm Optimization (PSO) algorithm using OPAL-RT","authors":"Huzaifa Naz, M. Jamil, S. Kirmani","doi":"10.1109/PIECON56912.2023.10085822","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085822","url":null,"abstract":"Theincreased atmospheric adulteration due to the exponential growth in the number of on-road vehicles is creating a problem for metropolitan residents. In present time, E-Vehicles (EVs)are among the finest alternatives to the traditional form of transportation. The EVs represent the feasible candidates in reducing the hazardous emissions from the environment due to the conventional vehicles. In this paper, a battery electric vehicle (BEV) model is developed in Simulink, a MATLAB-based graphical programming environment. The main objective of the developed model is to reduce the steady state error and regularize the speed of BEV using PI controller tuned with Particle Swarm optimization (PSO). The BEV model is Analyzed and simulated in MATLAB and validated through a real time OPAL-RT simulator (OP4510).","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122257316","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}
引用次数: 0
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