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Photovoltaic powered uninterruptible power supply using smart relay 采用智能继电器的光伏供电不间断电源
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559175
I. Daut, M. Irwanto, S. Hardi
{"title":"Photovoltaic powered uninterruptible power supply using smart relay","authors":"I. Daut, M. Irwanto, S. Hardi","doi":"10.1109/PEOCO.2010.5559175","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559175","url":null,"abstract":"Uninterruptible power supply (UPS) sits between a power supply such as wall outlet and devices to prevent undesired feature that can occur within the power source such as outages, sags, surges and bad harmonics from the supply to avoid a negative impact on the devices. This paper presents a photovoltaic (PV) powered UPS using smart relay. It is a standby UPS whereas if the main power source fail to supply power to loads, a battery powered inverter turns on to continue supplying power. The battery is charged by the PV using solar charger and transfer switch controlled by smart relay. The UPS was tested to a load of 240 V, 20 W AC aquarium water pump. The test result shown that the UPS perform well, when the main power source fail, the battery could power inverter and the smart relay control the transfer switch, the load and battery current were 0.1 A and 1.56 A, respectively.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116229405","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: 9
Measurement of overall power loss and flux leakage in M4 grain-oriented silicon iron assembled with 45o T-joint of three phase transformer core 三相变压器铁心45o t型接头M4晶化硅铁总功率损耗和漏磁测量
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559200
N. Kajaan, I. Daut, Md. Reza Md. Mohyin
{"title":"Measurement of overall power loss and flux leakage in M4 grain-oriented silicon iron assembled with 45o T-joint of three phase transformer core","authors":"N. Kajaan, I. Daut, Md. Reza Md. Mohyin","doi":"10.1109/PEOCO.2010.5559200","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559200","url":null,"abstract":"In this paper, the result of an investigation on the effect of using M4 Grain-Oriented Silicon Iron core material to the 100kVA three phase distribution transformers has been analyzed. The investigation includes the variation of power loss and flux leakage with 5mm different overlap length with staggered yoke and limb configuration. Both power loss and flux leakage has been measured using no-load test with 15 layer of lamination. The power loss of the transformer model core at the operation mode flux density, 1.5T is 1.079W/Kg. The flux leakage at T-joint is observed to be higher than that in the corner joint with 47.3uT and 37.6uT respectively during operation mode, 1.5T.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116450029","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
Bees algorithm technique for loss minimization in power transmission network using Static Var Compensator 基于静态无功补偿的输电网损耗最小化的蜜蜂算法技术
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559165
N. Othman, I. Musirin, M. Rahim, Z. Othman
{"title":"Bees algorithm technique for loss minimization in power transmission network using Static Var Compensator","authors":"N. Othman, I. Musirin, M. Rahim, Z. Othman","doi":"10.1109/PEOCO.2010.5559165","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559165","url":null,"abstract":"This paper presents the application of Bees Algorithm (BA) technique for loss minimization in power transmission network. The loss minimization technique is implemented through Static Var Compensator (SVC) installation and the optimization technique is the Bees Algorithm. Bees Algorithm was developed to optimally determine the SVC values to be installed in the power transmission network. In this study, SVC was modeled as an effective capacitive reactance equivalent which aims to alter the transmission lines properties in the system. In order to perform validation process, a 26-bus IEEE Reliability Test System (RTS) will be utilized and tested in minimizing total transmission loss in the system.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122889447","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: 8
Determination of representative load curve based on Fuzzy K-Means 基于模糊k均值的代表性负荷曲线确定
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559257
P. Binh, Nguyen Hong Ha, Tong Cong Tuan, Le Dinh Khoa
{"title":"Determination of representative load curve based on Fuzzy K-Means","authors":"P. Binh, Nguyen Hong Ha, Tong Cong Tuan, Le Dinh Khoa","doi":"10.1109/PEOCO.2010.5559257","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559257","url":null,"abstract":"With the large amount of information (large number of daily load curves) for one consumer or one group of consumers, the classification and building the representative load curve (RLC) are necessary. The RLC can be built in the set of similar load curves by clustering analysis. This paper presents a Fuzzy clustering technique to determine RLC on the basis of their electricity behavior. Fuzzy K-Means (FKM) is utilized in this work. The load data used in this work are from actual measurements from different feeders derived from a distribution network. Global criterion method and Bellman-Zadeh's maximization principle will be used to compromise the Cluster validity indexes and determine the optimal cluster number. Determining the suitable weighting exponent m is also introduced in this paper.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122464200","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: 14
Power quality improvement using DVR with two fast vector control 电能质量改进采用DVR与两个快速矢量控制
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559216
A. O. Al-Mathnani, H. Shareef, A. Mohamed, M. A. Mohd. Ali, M. Hannan
{"title":"Power quality improvement using DVR with two fast vector control","authors":"A. O. Al-Mathnani, H. Shareef, A. Mohamed, M. A. Mohd. Ali, M. Hannan","doi":"10.1109/PEOCO.2010.5559216","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559216","url":null,"abstract":"Voltage sag and swell are the common problem for sensitive load. The impact range from load disruptions to substantial economic losses. The DVR is the best solution to protect the sensitive loads. This paper present a fast DVR with controller to compensate the short outage, reduced the harmonic distortion and transient voltage for balanced and unbalanced load. In-phase method with continues two vector control algorithm is used to detect and compensate ΔV and ΔQ variables during voltage sag and voltage compensation. When there is any phase angle or phase jump in supply voltage the reference voltage is adjusted to track the phase angle of the supply voltage. A phase locked loop is used to keep the load voltage synchronized continuously and tracks the source voltage. It is shown that the proposed DVR controller improves the system power quality. Photovoltaic (PV) system with boost converter is designed to maintain the DC source voltage. Simulation was carried out using PSCAD/EMTDC.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410839","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: 5
Particle swarm optimization (PSO) technique in economic power dispatch problems 粒子群优化技术在经济电力调度中的应用
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559236
A. Jaini, I. Musirin, N. Aminudin, Muhammad Murtadha Othman, T. Rahman
{"title":"Particle swarm optimization (PSO) technique in economic power dispatch problems","authors":"A. Jaini, I. Musirin, N. Aminudin, Muhammad Murtadha Othman, T. Rahman","doi":"10.1109/PEOCO.2010.5559236","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559236","url":null,"abstract":"Economic power dispatch problem plays an important role in the operation of the power systems. It is a method of determine the most efficient, low cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The primary objective of economic dispatch is to minimize the total cost of generation while maintaining the operational constraints of the available generation resources. In this paper, a particle swarm optimization algorithms (PSO) with one of the accelerating coefficients being constant are proposed to solve the economic power dispatch problem. Particle swarm optimization (PSO) is algorithms modeled on swarm intelligence that finds a solution to an optimization problem in a search space, or model and predict social behavior in the presence of objectives. In this study, the proposed technique was tested using the standards IEEE 26-BUS RTS and the results revealed that the proposed technique has the merit in achieving optimal solution for addressing the problems.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128984571","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: 17
Lightning flashover test on pipeline: Effect to conducting material 管道雷电闪络试验:对导电材料的影响
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559214
F. Z. Ab. Latif, F. Hanaffi, A. Nazmin, A. Khamis, A.A. Rahman
{"title":"Lightning flashover test on pipeline: Effect to conducting material","authors":"F. Z. Ab. Latif, F. Hanaffi, A. Nazmin, A. Khamis, A.A. Rahman","doi":"10.1109/PEOCO.2010.5559214","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559214","url":null,"abstract":"It is generally known that power system outages caused by lightning flashover present a serious engineering problem. Most of the industrial company take serious action in order to protect their equipment from damage by natural causes such as lightning. It will be the necessary precautions to keep the lightning channel far away from the immediate neighbourhood of flammable and explosive materials. Protection of electric equipment against this power of nature is one objective of high voltage engineering and testing. The aim of this study is to investigate flashover in gap between industrial pipeline and any conducting material around the pipe. Impulse voltage test are used to simulate the lightning and tested on prototype of pipeline. The influence of the spark gap discharge on the statistics of the air breakdown processes has been investigated in a wide range of gap lengths from 1.0cm to 3.0cm under impulse conditions. The results were discussed base on its breakdown voltage affected by the length of the gap.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121388778","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 tuning of PSS parameters for damping improvement using PSO algorithm 基于粒子群算法的PSS参数优化调谐
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559198
Abolfazl Jalilvand, M. Keshavarzi, M. Khatibi
{"title":"Optimal tuning of PSS parameters for damping improvement using PSO algorithm","authors":"Abolfazl Jalilvand, M. Keshavarzi, M. Khatibi","doi":"10.1109/PEOCO.2010.5559198","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559198","url":null,"abstract":"In this paper a method based on the Particle Swarm Optimization (PSO) algorithm is presented for tuning Power System Stabilizer (PSS) parameters. In the proposed method, based on the optimization of a suitable objective function, optimal values for PSS controlling parameters including lead-lag compensator time constants as well as the controller gain are calculated. The employed objective function is the damping ratio of eigenvalues corresponding to system critical modes obtained from the analysis of the linearized model of system around the operating point. Controllable and critical modes of the system are identified using modal controllability and observability criteria. The proposed algorithm is applied to a single machine power system and for various operating conditions. Simulation results prove the capability of the proposed algorithm in damping improvement of power system.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365391","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
Distributed generation intelligent islanding detection using governor signal clustering 基于调速器信号聚类的分布式发电智能孤岛检测
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559212
A. Darabi, A. Moeini, M. Karimi
{"title":"Distributed generation intelligent islanding detection using governor signal clustering","authors":"A. Darabi, A. Moeini, M. Karimi","doi":"10.1109/PEOCO.2010.5559212","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559212","url":null,"abstract":"One of the major protection concerns with distribution networks comprising distributed generation is unintentional islanding phenomenon. Expert diagnosis system is needed to distinguish network cut off from normal occurrences. An important part of synchronous generator is automatic load-frequency controller (ALFC). In this paper, a new approach based on clustering of input signal to governor is introduced. Self-organizing map (SOM) neural network is used to identify and classify islanding and non-islanding phenomena. Simulation results show that input signal to governor has different characteristics concern with islanding conditions and other disturbances. In addition, the SOM is able to identify and classify phenomena satisfactorily. Using proposed method, islanding can be detected after 200 ms.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127700381","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
Artificial immune system based machine learning for voltage stability prediction in power system 基于人工免疫系统的电力系统电压稳定性预测
2010 4th International Power Engineering and Optimization Conference (PEOCO) Pub Date : 2010-06-23 DOI: 10.1109/PEOCO.2010.5559230
S. I. Suliman, T. Rahman
{"title":"Artificial immune system based machine learning for voltage stability prediction in power system","authors":"S. I. Suliman, T. Rahman","doi":"10.1109/PEOCO.2010.5559230","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559230","url":null,"abstract":"Voltage instability has recently become a challenging problem for many power system operators. This phenomenon has been reported to be responsible for severe low voltage condition leading to major blackouts. This paper presents the application of Artificial Immune Systems (AIS) for online voltage stability evaluation that could be used as early warning system to the power system operator so that necessary action could be taken in order to avoid the occurrence of voltage collapse. Key features of the proposed method are the implementation of clonal selection principle that has the capability in performing pattern recognition task. The proposed technique was tested on the IEEE 30 bus power system and the results shows that fast performance with accurate evaluation for voltage stability condition has been obtained.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126322234","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
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