ISGT2011-India最新文献_第2页

Enhancement of voltage stability index of distribution system by network reconfiguration including static load model and daily load curve 通过电网重构提高配电网电压稳定指标，包括静态负荷模型和日负荷曲线

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145379

K. Mistry, R. Roy

引用次数: 10

Distribution automation leading to a smarter grid 配电自动化带来更智能的电网

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145384

M. Thomas, S. Arora, V. Chandna

引用次数: 17

Improvement of power factor in power electronic systems by using a method of compensation 用补偿方法改善电力电子系统的功率因数

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145382

N. Venkateswarlu, M. Velmurugan, J. Suresh

引用次数: 1

Effect of unbalance in voltage supply on the detection of mixed air gap eccentricity in an induction motor by Motor Current Signature Analysis 用电机电流特征分析方法研究供电不平衡对感应电动机混合气隙偏心检测的影响

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145365

R. Samaga, K. Vittal, J. Vikas

引用次数: 4

Gencos optimal strategic bidding with transmission constraints using particle swarm optimization 基于粒子群算法的输电约束下发电系统最优竞价策略研究

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145358

M. Mandala, C. P. Gupta

{"title":"Gencos optimal strategic bidding with transmission constraints using particle swarm optimization","authors":"M. Mandala, C. P. Gupta","doi":"10.1109/ISET-INDIA.2011.6145358","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145358","url":null,"abstract":"This paper proposes an optimal strategic bidding with transmission congestion using Particle Swarm Optimization with Time varying acceleration coefficients (PSO-TVAC). A bilevel programming (BLP) technique is formulated in which upper level problem represents an individual generating company (Genco) profit maximization and the lower level represents the independent system operator's (ISO) market clearing problem with and without transmission congestion. The values of Transmission Congestion Distribution factors (TCDFs) are used to select redispatch of generators for congestion management with and without generator reactive power procurement. Numerical result on test system IEEE 30 bus is presented for illustration purpose and the results are compared with Particle swarm optimization (PSO), Particle Swarm Optimization with Time Varying Inertia Weight (PSO-TVIW) and Particle Swarm Optimization with Time Varying acceleration coefficients (PSO-TVAC) in terms of solution quality. The comprehensive experimental results prove that the PSO-TVAC is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122611235","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

Variable Acceleration Coefficient-based Particle Swarm Optimization for Non-Convex Economic load dispatch problem 基于变加速度系数的粒子群算法求解非凸经济负荷调度问题

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145368

V. K. Jadoun, K. R. Niazi, A. Swarnkar, N. Gupta

引用次数: 4

Transmission tariff allocation using combined MW-Mile & Postage stamp methods 使用MW-Mile和邮票相结合的传输费用分配方法

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145364

Babasaheb Kharbas, M. Fozdar, H. Tiwari

引用次数: 13

Dynamic Voltage Compensator: Transformationless control perspective 动态电压补偿器:无变换控制的观点

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145357

S. Srinath, C. Kumar, M. Selvan

引用次数: 0

A PSO solution for improved voltage stability of a hybrid ac-dc microgrid 一种改善交直流混合微电网电压稳定性的PSO解决方案

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145340

M. Akbari, M. Golkar, S. Tafreshi

引用次数: 20

Optimal capacitor placement in distribution networks using differential evolution incorporating dimension reducing power flow method 结合降维潮流法的差分进化配电网电容器优化配置

ISGT2011-India Pub Date : 2011-12-01 DOI: 10.1109/ISET-INDIA.2011.6145350

S. Neelima, Dr. P. S. Subramanyam

{"title":"Optimal capacitor placement in distribution networks using differential evolution incorporating dimension reducing power flow method","authors":"S. Neelima, Dr. P. S. Subramanyam","doi":"10.1109/ISET-INDIA.2011.6145350","DOIUrl":"https://doi.org/10.1109/ISET-INDIA.2011.6145350","url":null,"abstract":"A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses decrease proportionally, when moved away from the substation, also the losses increases quadraticaly. The reason for decrease in voltage and increase in losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, two stage methodologies are used. In first stage, the load flow of pre-compensated distribution system is carried out using ‘dimension reducing distribution load flow algorithm (DRDLFA)’. On the basis of this load flow the potential locations of compensation are computed. In the second stage, Differential Evolution (DE) Algorithm is used to determine the optimal location and size of the capacitors such that the cost of the energy loss and capacitor cost to be a minimum. The above method is tested on IEEE 69 bus system and compared with other methods in the literature like Particle swarm optimization.","PeriodicalId":265646,"journal":{"name":"ISGT2011-India","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115581314","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: 6