2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)最新文献_第3页

Efficiency Enhancement of ZVS based PFC converter With Average Current Controlled Scheme 采用平均电流控制方案提高ZVS型PFC变换器的效率

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212191

S. K. Pradhan, S. S, R. Das

引用次数: 0

Optimal design of a three degrees of freedom based controller for AGC of a power system with renewable energy sources 可再生能源电力系统AGC三自由度控制器的优化设计

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212192

N. Jena, S. Sahoo, B. K. Sahu, Nimai Charan Patel, K. Mohanty

引用次数: 0

Performance Analysis of 6-Pulse HVDC-VSC Using Deadbeat Controller in d-q Reference Frame Under DC Fault Condition paper 基于无差拍控制器的6脉冲HVDC-VSC在直流故障条件下的性能分析

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212213

Aradhana Khillo, S. S. Patnaik, S. Naresh

引用次数: 1

Superiority of JAYA Optimized 2DOF-IDD control strategy for AGC of hybrid power system JAYA优化2DOF-IDD控制策略在混合动力系统AGC中的优越性

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212293

Srikanta Mohapatra, P. Sahu, Ramchandra Agrawal, R. Prusty, Nimai Charan Patel

{"title":"Superiority of JAYA Optimized 2DOF-IDD control strategy for AGC of hybrid power system","authors":"Srikanta Mohapatra, P. Sahu, Ramchandra Agrawal, R. Prusty, Nimai Charan Patel","doi":"10.1109/CISPSSE49931.2020.9212293","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212293","url":null,"abstract":"The research work on automatic generation control (AGC) of a multi area power system has been well addressed in this article. In order to obtain AGC under dynamic load, the authors have proposed a degree of freedom oriented integral and double derivative controller. The degree of freedom nature of proposed 2DOF-IDD controller gracefully improves the overall performances under any disturbances. A multi objective JAYA algorithm has been suggested to optimally design the proposed 2DOF-IDD controller under different functional conditions. The performance of proposed 2DOF-IDD controller has been investigated through a standard comparative study over 2DOF-PID and 2DOF-PI control control approach for generation control of the proposed plant under study. The dynamic performance of suggested JAYA algorithm has been compared over flower pollination algorithm (FPA), cuckoo search algorithm (CSA) and genetic algorithm (GA). An improved objective function called integral of time multiplied by absolute error (ITAE) has been considered while optimizing parameters of proposed 2DOF-IDD controller. The proposed power system integrated with the wind power station is modeled with existing conventional system for improving overall rating of the system. Finally, it is inferred from various simulated results that suggested JAYA algorithm based 2DOF-IDD controller is better in regard to AGC of hybrid power system.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134492979","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: 4

Design and analysis of automatic generation control of two area power system based on modified differential evolution algorithm 基于改进差分进化算法的两区电力系统自动发电控制设计与分析

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212198

Ruhika Pattnaik, Sheetal Chandak, P. Rout, S. Routray, B. K. Sahu

{"title":"Design and analysis of automatic generation control of two area power system based on modified differential evolution algorithm","authors":"Ruhika Pattnaik, Sheetal Chandak, P. Rout, S. Routray, B. K. Sahu","doi":"10.1109/CISPSSE49931.2020.9212198","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212198","url":null,"abstract":"This manuscript deals with the design and analysis of dynamic performance of Modified Differential Evolution (MDE) algorithm based, Proportional-Integral-Differential (PID) controller for Automatic Generation Control (AGC) of two area power system. For justifying the proposed approach, reheat thermal system of two area integrated with PID controllers is considered. To obtain an optimum dynamic performance, the problem statement for design is framed as a single problem of optimization to apply MDE and finely tune the controller gain parameters. For the proposed MDE optimization strategy objective function based on the Integral of Time multiplied by Absolute Error (ITAE) is considered in this study. The proposed approach's enhanced performance is justified by showing better results as compared to other stochastic based optimization techniques. Furthermore, to validate the ability of the approach to perform with better stability under wide range of system parameter variation. Finally, the possibility of real time implementation of the proposed approach is supported with results from the load variation studies.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115554206","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

Coordinated Control of SSSC Based Controller Using GSA Algorithm 基于GSA算法的SSSC控制器协调控制

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212298

A. K. Patra, S. K. Mohapatra, S. K. Barik

{"title":"Coordinated Control of SSSC Based Controller Using GSA Algorithm","authors":"A. K. Patra, S. K. Mohapatra, S. K. Barik","doi":"10.1109/CISPSSE49931.2020.9212298","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212298","url":null,"abstract":"In present scenario, the stability of power systems decreases with size, loading and complexity of power system. This problem is related to power system oscillation and performance of power system components. It is because of inadequate control required in power system and poor coordination among power system controllers. In this work we present power system satiability enhancement through coordinately control of SSSC based damping controllers and PSS. It is thoroughly investigated by designing a coordinated structure of both controllers for the purpose analysis. Here the simultaneous coordinated tuning of the Δω based PI types lead-lag controller based SSSC controller and power system stabilizer is performed by using GSA optimization technique. The simulation results of which are compared with conventional lead-lag coordinately control of SSSC controller. The performance of the purpose coordinately controllers are evaluated applying various disturbances and loading condition for both SMIB and multi machine complex power system. The effectiveness and strength of the proposed controller is tested by developing test model for both SMIB and MMIS in MATLAB platform","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116157910","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

Tuning of governor and damping controller parameters of hydro power station for small signal stability enhancement 水电站调速器和阻尼控制器参数的整定提高了小信号稳定性

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212210

Narayan Nahak, Geetanjali Dei, Ramachandra Agrawal, A. Choudhury

引用次数: 1

An Improved MPPT Technique Under Partial Shading Condition Using Simple P&O Algorithm 基于简单P&O算法的部分遮阳条件下改进的MPPT技术

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212234

Boni Satya Varun Sai, Sarang A. Khadtare, D. Chatterjee

{"title":"An Improved MPPT Technique Under Partial Shading Condition Using Simple P&O Algorithm","authors":"Boni Satya Varun Sai, Sarang A. Khadtare, D. Chatterjee","doi":"10.1109/CISPSSE49931.2020.9212234","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212234","url":null,"abstract":"Partial shading (PS) affects the productivity of power generation in the photovoltaic system. During PS condition, PV panel shows multiple peaks in power-voltage (P- V) and current-voltage (I-V) characteristics, making conventional Maximum Power Point Tracking (MPPT) algorithms like Perturb and observe (P&O) method, Incremental conductance (I&C) method etc., fails to extract maximum power. Optimization based techniques like Particle swarm optimization (PSO), Cuckoo Search (CS) and Maximum power point scanning (MPPS) methods etc., can perform an active monitoring of maximum power under PS condition. Since, optimization-based systems are complex and time-consuming, in this paper an improved MPPT is proposed for tracking maximum power under PS condition. The Proposed MPPT method does not require any computational burden, making it more compatible for real time with good tracking efficiency. The proposed MPPT is verified for 3S configuration with various shading patterns showed satisfactory results with excellent dynamic behaviour and very high tracking efficiency.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123588317","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

Data analytics to increase efficiency of the AI based energy consumption predictor 数据分析，提高基于人工智能的能源消耗预测器的效率

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212200

Smrutishikta Das, T. Choudhury, S. K. Mohapatra

{"title":"Data analytics to increase efficiency of the AI based energy consumption predictor","authors":"Smrutishikta Das, T. Choudhury, S. K. Mohapatra","doi":"10.1109/CISPSSE49931.2020.9212200","DOIUrl":"https://doi.org/10.1109/CISPSSE49931.2020.9212200","url":null,"abstract":"These days most of the developed countries have been focusing on energy consumption forecasting. The smart management of energy became the key note for many researchers in aspects of better understanding of the complex pattern of energy production, distribution and utility line. The AI based smart predictor mainly depends on the huge historical data analytics along with a set of modelling algorithms to specify each logical part. In this paper we have discussed about the core data analytics and the manual evaluation to capture the exact patterns from a real time versatile building energy consumption dataset which could be utilized in the implementation of an AI based smart predictor. With high dimensional data visualization and data analytics we were able to attain relatively lower mean absolute error i.e. a reduction of error up to 40.22% in the data pre-processing phase. We have mainly focused on the handling of the real time energy consumption data set and to trace out the energy supply or consumption breakdown conditions. From a publicly available data set, various data pre-processing criteria have taken and prepared the data-frame for the multivariate prediction model. After data pre-processing linear regression has been used to predict the energy consumption per carpet area and the prediction efficiency has been compared for each cases. With the manual evaluation and the tracing of energy breakdown or any other unusual condition, the prediction performance increased up to 31.03%.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121852956","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: 3

Impact Analysis of Inter-phase Transformer on A Double Star AC/DC Controlled Converter 两相变压器对双星交直流控制变换器的影响分析

2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE) Pub Date : 2020-07-01 DOI: 10.1109/CISPSSE49931.2020.9212302

Ranjan Kumar, Sanjeev Singh, R. Singh

引用次数: 4