2007 International Conference on Intelligent Systems Applications to Power Systems最新文献_第6页

Generating Unit Maintenance Scheduling using Hybrid PSO Algorithm 基于混合粒子群算法的发电机组维护调度

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441692

Young-Soo Park, Jin-ho Kim, Juneho Park, Junying Hong

{"title":"Generating Unit Maintenance Scheduling using Hybrid PSO Algorithm","authors":"Young-Soo Park, Jin-ho Kim, Juneho Park, Junying Hong","doi":"10.1109/ISAP.2007.4441692","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441692","url":null,"abstract":"This paper addresses a hybrid particle swarm optimization-based approach for solving a generating unit maintenance scheduling problem (GMS). We focus on the power system reliability such as reserve ratio better than cost function as the objective function of GMS problem. It is shown that particle swarm optimization-based method is more effective in obtaining feasible schedules such as GMS problem related to power system planning and operation. In our paper, we find the optimal solution of the GMS problem within a specific time horizon using hybrid PSO algorithm, simple modification to the standard particle swarm optimization adding mutation operator of GA to solve the stagnation problem. Actual data obtained from the IEEE reliability test system (1996) including 32-generators are applicable to the GMS problem. From the result, we can conclude that the hybrid PSO is enough to look for the optimal solution effectively in the generating unit maintenance scheduling problem. It is also envisaged that hybrid PSO (HPSO) algorithm can be easily implemented for similar optimizations and scheduling problems in power system problems to obtain improved solutions.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127404340","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: 18

Moral Hazard in the Electricity Capacity Markets 电力容量市场中的道德风险

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441607

M. Joung, Jinho Kim, K.Y. Lee

引用次数: 4

Stability and Performance of an Autonomous Hybrid Wind-PV-Battery System 自主混合风-光电-电池系统的稳定性和性能

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441622

Li Wang, T. Lin

{"title":"Stability and Performance of an Autonomous Hybrid Wind-PV-Battery System","authors":"Li Wang, T. Lin","doi":"10.1109/ISAP.2007.4441622","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441622","url":null,"abstract":"This paper presents small-signal stability, steady-state characteristics, and dynamic performance of an autonomous hybrid wind-PV-battery system feeding an isolated single-phase load. To improve the inherent variable frequency, variable voltage, and loading effects of the studied wind synchronous generator (SG) under random wind speeds, an AC-to-DC converter and a battery system are employed to combine distinct generated energies from the wind SG and a PV module. The stored energy in the battery is converted into a single-phase source with constant voltage and constant frequency to supply isolated single-phase loads by means of a DC-to-DC boost converter and a DC-to-AC inverter. The d-q axis equivalent-circuit models for the SG, AC-to-DC converter, DC-to-AC inverter, DC-to-DC boost converter, PV module, and battery system are respectively derived to establish the complete dynamic system equations of the studied hybrid system. Experimental results obtained from a laboratory 300 W SG, a 24 V, 1.5 kW PV module, and a 24 V, 250 Ah battery system are compared with the simulated results to validate the proposed system model. Small-signal stability of the studied system under various operating points and different disturbance conditions is also carried out by using eigenvalue analysis and dynamic simulations, respectively.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131573131","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: 15

A Novel ANN Based Method for Online Voltage Stability Assessment 一种基于神经网络的在线电压稳定性评估新方法

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441625

B. Suthar, R. Balasubramanian

{"title":"A Novel ANN Based Method for Online Voltage Stability Assessment","authors":"B. Suthar, R. Balasubramanian","doi":"10.1109/ISAP.2007.4441625","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441625","url":null,"abstract":"This paper presents an ANN based method for online voltage stability assessment of power systems. The most vulnerable load buses of the system from voltage stability point of view have been identified by Modal analysis. A separate feed forward type of ANN is trained for each vulnerable load bus. For each of these ANN's, some novel inputs, comprising of the moments obtained by multiplying the real power and reactive power contributions with the electrical distance between each generator-vulnerable load bus pair and the reactive power margins available at the generators, are used in addition to the usually used inputs viz. the real and reactive power loads and the voltage magnitude at the vulnerable load bus. The target output for each input pattern is obtained by computing the distance to voltage collapse from the current system operating point using a continuation power flow type algorithm (Contour Program) incorporating the Q limits of the generators. The proposed method has been applied to the IEEE 30 bus test system. The distances to voltage collapse obtained by the ANN and by the analytical method are found to be closely matching with each other.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125679483","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: 11

Computational Intelligence Techniques Applied to Flexible and Auto-adaptive Operation of CHP Based Home Power Supply 计算智能技术在热电联产家庭电源柔性自适应运行中的应用

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441673

J. Matics, G. Krost

引用次数: 3

Reactive Power Management in Offshore Wind Farms by Adaptive PSO 基于自适应粒子群算法的海上风电场无功管理

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441595

V. S. Pappala, S.N. Singh, M. Wilch, I. Erlich

引用次数: 37

Design and Training of Artificial Neural Networks for Locating Low Current Faults in Distribution Systems 配电系统小电流故障定位的人工神经网络设计与训练

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441599

J. Coser, D.T. do Vale, J. Rolim

引用次数: 21

An Enhanced Immune-Annealing Algorithm for Mixed-Integer Optimal Power Flow 混合整数最优潮流的增强免疫退火算法

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441651

Cong-Hui Huang, Whei-Min Lin

引用次数: 1

Intelligent Grid Initiatives in India 印度的智能电网计划

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441670

Y. Pradeep, S. Khaparde, R. Kumar

引用次数: 14

On - line generation of synthetic information on voltage stability margins 电压稳定裕度综合信息的在线生成

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441648

D. Lucarella, S. Massucco, F. Silvestro, G. Vimercati

引用次数: 2