2011 16th International Conference on Intelligent System Applications to Power Systems最新文献_第3页

Fault location in underground systems through optimum-path forest 基于最优路径森林的地下系统故障定位

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082204

A. Souza, P. da Costa, P. S. da Silva, C. Ramos, J. Papa

引用次数: 1

Reactive power optimization using evolutionary techniques: Differential Evolution and Particle Swarm 基于进化技术的无功优化:差分进化和粒子群

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082218

C. Ionescu, M. Eremia, C. Bulac

引用次数: 7

Adaptive power control modeling and simulation of a hydraulic turbine 水轮机自适应功率控制建模与仿真

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082250

T. Puleva, E. Garipov, G. Ruzhekov

引用次数: 5

Simulation results of cogeneration units as system reserve power source using multiagent modeling 基于多智能体建模的热电联产机组作为系统备用电源的仿真结果

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082254

D. Divényi, A. Dán

引用次数: 9

Smart optimal control of DC-DC boost converter for intelligent PV systems 智能光伏系统DC-DC升压变换器的智能最优控制

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082252

M. Elshaer, A. Mohamed, O. Mohammed

{"title":"Smart optimal control of DC-DC boost converter for intelligent PV systems","authors":"M. Elshaer, A. Mohamed, O. Mohammed","doi":"10.1109/ISAP.2011.6082252","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082252","url":null,"abstract":"This paper presents a novel smart-PID controller for optimal control of DC-DC boost converter used as voltage controller in PV systems. This proposed controller maximizes the stable operating range by using genetic algorithms (GA) to tune the PID parameters ultimately at various loading conditions. Then, a fuzzy logic approach is used to add a factor of intelligence to the controller such that it can move among different values of proportional gain, derivative gain and integral gain based on the system conditions. This controller allows optimal control of boost converter at any loading condition with no need to retune parameters or possibility of failure. Moreover, the paper presents a novel technique to move between the PI and PID configurations of the controller such that the minimum overshoot and ripple are obtained, which increases the controller applicability for utilization of PV systems in supplying sensitive loads. The controlled boost converter is used as an interface between photovoltaic (PV) panels and the loads connected to them. It converts any input voltage within its operating range into a constant output voltage that is suitable for load feeding. The proposed smart controller adapts the duty cycle of the boost converter based on input voltage and loading conditions such that it outputs a constant output voltage. A prototype system has been developed in the laboratory to verify the applicability of the proposed controller. Moreover, simulation and experimental results both confirm its validity of the proposed controller as an effective and reliable controller for boost converters in PV systems and the possibility to use it in practical situations.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916094","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: 7

An application of differential evolution to loop flow problem 微分演化在环流问题中的应用

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082243

G. O. Dag, M. Bagriyanik

引用次数: 0

Analysis of the optimal battery sizing for plug-in hybrid and battery electric vehicles on the power consumption and V2G availability 插电式混合动力和纯电动汽车最佳电池尺寸对功耗和V2G可用性的影响分析

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082258

J. Van Roy, S. De Breucker, J. Driesen

引用次数: 7

Controlling of artificial neural network for fault diagnosis of photovoltaic array 光伏阵列故障诊断中的人工神经网络控制

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082219

S. Syafaruddin, E. Karatepe, T. Hiyama

{"title":"Controlling of artificial neural network for fault diagnosis of photovoltaic array","authors":"S. Syafaruddin, E. Karatepe, T. Hiyama","doi":"10.1109/ISAP.2011.6082219","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082219","url":null,"abstract":"High penetration of photovoltaic (PV) systems is expected to play important roles as power generation source in the near future. One of the typical deployments of PV systems is without supervisory mechanisms to monitor the physical conditions of cells or modules. In the longer term operation, the cells or modules may undergo fault conditions since they are exposure to the environment. Manually module checking is not recommended in this case because of time-consuming, less accuracy and potentially danger to the operator. Therefore, provision of early automatic diagnosis technique with quick and efficient responses is highly necessary. Since high accuracy is the important issue in the diagnosis problems, the paper present fault diagnosis method using three-layered artificial neural network. A single artificial neural network (ANN) is not suitable to provide precise solution for this fault identification. Therefore, several ANNs are developed, then automatic control based module voltage terminal is established. The proposed method is simple and accurate to detect the exact location of short-circuit condition of PV modules in array.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497153","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: 129

Scheduling algorithms for agent based control and scheduling of microgrids 基于智能体的微电网控制与调度算法

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082198

D. Koukoula, A. Dimeas, N. Hatziargyriou

引用次数: 4

WRBF network based control strategy for PMSG on smart grid 基于WRBF网络的智能电网PMSG控制策略

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082233

Chiung-Hsing Chen, Chih-Ming Hong, Ting-Chia Ou

引用次数: 6