{"title":"The modeling of partial discharge waveforms in power systems equipment","authors":"R. Ambikairajah, Bao Toan Phung, J. Ravishankar","doi":"10.1109/ASSCC.2012.6523352","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523352","url":null,"abstract":"This paper looks at the modeling of partial discharge (PD) waveforms to gain an understanding of the characteristics of PD signals. To accurately model the PD waveforms, a high sampling rate of 500 MHz was used in collecting the PD data with the use of a high-frequency current transformer. While characteristics such as rise time, fall time and pulse width have been used in the past to analyze PD waveforms, this paper uses Prony's method to fit a digital transfer function to the PD waveform, such that the impulse response of the digital filter approximately matches the waveform. Results show that this technique can be applied to internal, corona and surface partial discharge signals, and a model like this can be used for simulating and interpreting PD waveforms.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116722559","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}
{"title":"Distribution network reconfiguration using genetic algorithm and load flow","authors":"P. L. Roux, J. Munda, Y. Hamam","doi":"10.1109/ASSCC.2012.6523339","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523339","url":null,"abstract":"There are various ways of reducing active power losses in distribution networks. Network reconfiguration is one of the most important methods. However, it can be a very difficult optimisation problem. The proposed Genetic Algorithm with Rank Weight selection is used to search the population for the optimum solution in the network. The chromosome is represented by a string of binary numbers (zeroes, 0s and ones, 1s). By opening one switch in each loop (fundamental loop approach), almost all the solutions will be feasible (radial networks). By doing this the chromosome will only consist of the open switches (Genotype); thus reducing the computation time. Constraints are used to filter the search by means of penalty factors, which guarantees the solution found by the Genetic Algorithm to be feasible.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123472801","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}
{"title":"Single-phase grid connected axial flux permanent magnet generator system with reactive power compensation functionality","authors":"P. Wannakarn, V. Kinnares","doi":"10.1109/ASSCC.2012.6523289","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523289","url":null,"abstract":"This paper presents a single-phase grid connected system with reactive power compensation functionality for an axial flux permanent magnet (AFPM) generator. The proposed system offers bi-function namely not only transfers energy generated by any kind of mechanical power sources via an AFPM but also feeds reactive power to compensate the reactive power drawn by loads. The proposed system includes 3 main parts: the 5-Phase laboratory made AC AFPM, full bridge rectifier and an IGBT full bridge inverter. A current control technique based on fixed hysteresis band is used. All control algorithms are implemented on dsPIC30F4011 Digital Signal Controller (DSC). The proposed system is able to transfer energy supplied from the proposed AFPM to a 1-phase, 50 Hz, 220 V mains supply. Apart from the power transfer, the proposed system also provides reactive power compensation for resistive-inductive load to improve power factor of the grid to nearly unity. The system performance is investigated which appears satisfactory.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124087752","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}
{"title":"Ouput power smoothening of variable-speed wind turbine systems by pitch angle control","authors":"Tan Luong Van, Dong-Choon Lee","doi":"10.1109/ASSCC.2012.6523258","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523258","url":null,"abstract":"This paper proposes a new strategy of the output power smoothening for the variable speed wind turbine systems, which is based on the pitch angle control using the fuzzy logic controller. In this method, the turbine power and its reference are used as control input variables for the fuzzy logic controller (FLC), in which the turbine power reference is determined depending on the double exponential smoothening (DES) method. This method is effective to smoothen the generator output power without any need of the power compensation by the energy storage system. The effectiveness of the proposed method is verified by simulation results for a 2-MW PMSG wind turbine system.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127932021","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}
{"title":"Optimal reactive power dispatch by pseudo-gradient guided particle swarm optimization","authors":"D. Le, V. N. Dieu","doi":"10.1109/ASSCC.2012.6523230","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523230","url":null,"abstract":"This paper proposes a pseudo gradient based particle swarm optimization (PGPSO) method for solving optimal reactive power dispatch (ORPD) problem. The proposed PGPSO is the particle swarm optimization with constriction factor guided by pseudo-gradient for better search ability. The implementation of the pseudo-gradient in PSO is to determine the suitable direction for particles to guarantee that they can quickly move to global optimal solution. The proposed PGPSO has been implemented for the ORPD problem with different objectives such as minimizing the real power losses, improving the voltage profile, and enhancing the voltage stability satisfying various constraints of reactive power limits of generators, switchable capacitor banks, bus voltage limits, transformer tap changer limits, and transmission line limits. The proposed method has been tested on the IEEE 30-bus system and the obtained results are compared to those from other PSO variants and other methods in the literature. The result comparison has indicated that the proposed method can obtain total power loss, voltage deviation or voltage stability index less than the others for the considered cases. Therefore, the proposed PGPSO can be a favorable solution method for dealing the ORPD problem.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131045928","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}
K. Yamashita, Keita Tokumitsu, Atsuhiro Koyama, Masamoto Tatematsu
{"title":"Automatic extraction method suitable for deriving load model parameters","authors":"K. Yamashita, Keita Tokumitsu, Atsuhiro Koyama, Masamoto Tatematsu","doi":"10.1109/ASSCC.2012.6523349","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523349","url":null,"abstract":"Inappropriate load models could cause discrepancies between the measured and simulated responses in both the steady-state and transient state. Therefore, more accurate load models and their parameters need to be derived with the aid of measured data. Although more sophisticated measurement devices have been developed, the whole measured data such as for 30 seconds should not be used for deriving load model parameters, because the natural change in load structures regardless of voltage- and frequency-dependent load can deteriorate the accuracy of the derived voltage- and frequency-dependent load model parameters. In order to extract measured data that do not include the natural change in load structure, an automatic extraction method suitable for deriving load model parameters using a Fuzzy Inference System (FIS) is developed. The suitable data length can be specified using the correlation index between active power load and load bus voltage provided by the FIS. The measured data which are not used for the learning algorithm are used to validate the performance of the developed method.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127190033","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}
{"title":"Power sensitivity and algebraic technique for evaluation of penetration level of photovoltaic on DC link of VSC HVDC transmission","authors":"A. Nnachi, J. Munda, D. Nicolae, A. M. Mabwe","doi":"10.1109/ASSCC.2012.6523250","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523250","url":null,"abstract":"With the increased advent of VSC HVDC with long DC transmission link in power systems, situations have arisen and will be even more frequent in the future, where several distributed generation will be connected on the DC-link for more power transfer capability. As penetration level increases, there is need to predict the limit before violation of voltage and power instability on the DC transmission link and ensure that it does not interfere with the main VSC HVDC system control. In this paper, power sensitivity and algebraic technique is proposed to predict the maximum DG penetration that can be accepted at a particular location on the dc link of VSC HVDC transmission system before violation of voltage and power stability.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126686247","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}
Chengxi Liu, Zhe Chen, C. Bak, Zhou Liu, P. Lund, P. Ronne-Hansen
{"title":"Transient stability assessment of power system with large amount of wind power penetration: The Danish case study","authors":"Chengxi Liu, Zhe Chen, C. Bak, Zhou Liu, P. Lund, P. Ronne-Hansen","doi":"10.1109/ASSCC.2012.6523312","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523312","url":null,"abstract":"Recently, the security and stability of power system with large amount of wind power are the concerned issues, especially the transient stability. In Denmark, the onshore and offshore wind farms are connected to distribution system and transmission system respectively. The control and protection methodologies of onshore and offshore wind farms definitely affect the transient stability of power system. In this paper, the onshore and offshore wind farms are modeled in detail in order to assess the transient stability of western Danish power system. Further, the computation of critical clearing time (CCT) in different scenarios is proposed to evaluate the vulnerable areas in western Danish power system. The result of CCTs in different scenarios can evaluate the impact of wind power on power system transient stability. Besides, some other influencing factors such as the load level of generators in central power plants, load consumption level and high voltage direct current (HVDC) transmission links are taken into account. The results presented in this paper are able to provide an early awareness of power system security condition of the western Danish power system.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114200169","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}
Eakchai Junput, Sathit Chantree, M. Leelajindakrairerk, C. Chompoo-Inwai
{"title":"Optimal technique for total harmonic distortion detection and estimation for smart meter","authors":"Eakchai Junput, Sathit Chantree, M. Leelajindakrairerk, C. Chompoo-Inwai","doi":"10.1109/ASSCC.2012.6523295","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523295","url":null,"abstract":"This paper proposes an optimal technique for total harmonics distortion detection and estimation for smart meter by applying Fast Fourier Transform (FFT) methodology to detect harmonic distortion. Design considers the precision of constant frequency and inconstant frequent including unbalance voltage in order to enhance efficiency and mitigate harmonic distortion value. These results show that implemented algorithm can detect total harmonic distortion precisely with maximum 0.058% error. However, usually, the accurate of Total Harmonic Distortion estimation will depend on the sampling rate of input signal. The most significant operating key of the Smart Meter is to accurately and rapidly analyses the signal. Therefore, this paper aims to find optimum sampling rate between 12.8 kHz and 25.6 kHz. From the result, the optimum sampling is 12.8 kHz. Because result of %THD value we're close in every cases but at sampling rate 12.8 kHz used in less computation time than to reduce memory use and processing time.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122549443","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}
{"title":"Wind speed forecasting using hybrid ANN-Kalman Filter techniques","authors":"Diksha Sharma, T. Lie","doi":"10.1109/ASSCC.2012.6523344","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523344","url":null,"abstract":"Wind intermittency, independent nature of direction, speed was the best-known challenge and major barrier against wind power penetration. Precise forecasting of wind speed is vital to the effective harvesting of wind power. The problems posed in the wind speed prediction include reduction in time delay, improvement in speed for short time, error reduction, model improvement for effective conversion of wind energy. However there is a lot of research being done in this field in which individual as well as hybrid techniques are being worked upon. The objective of this paper is on error reduction and improvement of model by hybridizing two techniques. One is the Artificial Neural Networks (ANN) along with a statistical method of Ensemble Kalman Filter (EnKF) technique. These methods are used for short term predictions of wind speed. This result is tested practically on MATLAB in this paper. By help of observations, the EnKF will correct the output of ANN to find the best estimate of wind speed. Results in MATLAB show that combination of ANN with EnKF acts as an output correction scheme.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126094248","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}