2012 10th International Power & Energy Conference (IPEC)最新文献

{"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":"Triangular approximate distribution model of wind electric generators","authors":"YU Peng, B. Venkatesh","doi":"10.1109/ASSCC.2012.6523255","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523255","url":null,"abstract":"Evolving power systems are facing diverse supply mixes and increasing addition of renewable resources, like wind power. Due to stochastic feature of wind, output of wind electric generators (WEG) has uncertainties. These uncertainties bring risks into daily power system operations. Flexible and accurate computational tools are increasingly needed to handle the uncertainties for generation planning and electricity marketing in a short term time duration. A triangular approximate distribution (TAD) is discussed in this paper to stochastically model real power output of WEGs. The TAD model very closely represents the normal distribution function of forecasted wind power to capture stochastic information of WEGs' output forecasts. The cumulative probability function of unavailability of wind power can be calculated using the TAD model and further to compute expected energy not served, which quantifies the risks caused by wind power. The effects of standard deviation are studied.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"14 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":"133561515","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}

{"title":"Recognition and simulation of electromagnetic transients in power systems of Southern Vietnam","authors":"Huu-Phuc Nguyen, N. Nguyen, Huy Ann Quyen","doi":"10.1109/ASSCC.2012.6523328","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523328","url":null,"abstract":"This paper presents a research of electromagnetic transients in power systems based on the three issues: identification of voltage transient disturbances, analysis of power system transient, and modeling of distributed-parameter transmission lines. The first issue includes (a) recognizing the presence of power quality disturbances in supply voltage and (b) classifying any existing deviations from a particular type. Various techniques using artificial neural networks and Fuzzy associative memories, Neuro-Fuzzy systems based on Wavelet transform are used to identify power quality disturbances. The second issue is to analyze the power system transients using the wavelets technique as opposed to the trapezoidal rule method. A novel developed algorithm has the following properties: 1) it is time-domain working, so that circuit nonlinearity can be handled and numerical accuracy can be well controlled, unlike the frequency-domain method where numerical error may become uncontrollable during the inverse Laplace transform; 2) the wavelets property of localization in both time and frequency domains makes a uniform approximation possible, which is generally not achieved in time-stepping methods. The last issue is to model a transmission line based on passive network synthesis for representing the nonlinear frequency dependence of the characteristic impedance matrix function. The synthesized passive network of interconnected RLC elements preserves at any frequency the inherent stability property of this matrix function for any power transmission circuits. The network parameters are identified using the constrained optimization by which the synthesized network response is matched with the actual response derived from the characteristic impedance matrix. With the trapezoidal rule of numerical integration applied to individual elements of the synthesized network, discrete time-domain recursive sequences are derived, and then included in the overall transmission circuit model. The network synthesis procedure developed is applied to a representative transmission line, and comparative studies indicate high accuracy being achieved. The research is then applied and validated to a southern of Vietnam power system in study.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"28 2 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":"132508140","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":"Probabilistic OPF using linear fuzzy relation","authors":"I. S. Arneja, B. Venkatesh","doi":"10.1109/ASSCC.2012.6523336","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523336","url":null,"abstract":"Optimal Power Flow (OPF) is a very important tool for planning and analysis of power systems. In the recent times, uncertain renewable energy is being integrated into power systems in a large scale. Appropriate modeling of renewables in OPF requires using stochastic models. Using stochastic models of renewables in OPF is numerically and algorithmically challenging due to the complexity of stochastic models and nonlinear nature of bus power balance equations. Hitherto, Monte Carlo Simulation technique and Cumulant technique have been proposed, but they are not computationally viable for large systems. In this paper, we propose the use of linear fuzzy relation technique to relate stochastic models of dependent variables of OPF formulation in terms of control variables that include power output of renewables. This fuzzy relation uses Hessian matrix of the LaGrangian of the OPF formulation at optimal solution point. The method is tested on a 6-bus system and results are reported. One can intuitively see that this method can be easily extended to larger systems.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"212 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":"132238403","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":"A bipolar gain bridgeless set-up AC/DC converter with power factor correction","authors":"Qiang Chen, Jianping Xu, Zhangyong Chen, Guohua Zhou","doi":"10.1109/ASSCC.2012.6523242","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523242","url":null,"abstract":"Bipolar gain step-up converter can realize dc output voltage regulation no matter the input voltage is positive or negative. Therefore, bipolar gain step-up converter can be used as bridgeless PFC converter, without using the front-end bridge rectifier. In this paper, a bipolar gain step-up AC/DC converter operating in discontinuous conduction mode (DCM) as bridgeless PFC converter is introduced. Its operating principle in DCM is illustrated, and its steady-state characteristic is analyzed. It is found that the turn-on loss of the switch and the reverse-recovery losses of the diodes are reduced. Furthermore, the voltage gain of this converter is similar to that of conventional boost converter in DCM. Finally, experimental results are provided with a 50W/200V prototype for line voltage of 85~135Vrms to evaluate the performance of the DCM bridgeless PFC converter.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"4 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":"133240566","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":"Hydropower energy recovery (HyPER) from water-flow systems in Vietnam","authors":"N. Prasad, S. Ranade, Huynh Thai Hoang, N. Phuc","doi":"10.1109/ASSCC.2012.6523245","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523245","url":null,"abstract":"In this paper we focus on two types of hydropower sources that offer the greatest potential for harvesting or scavenging the unused energy, namely, energy from urban water treatment and water supply systems, and energy from freeflowing waterways where there is existing infrastructure. The continuous flow of water in urban wastewater treatment and water supply systems provides an uninterrupted source for energy recovery. Large water towers and tanks provide sufficient pressure-head to operate generators to produce electricity. Sewage water treatment facilities continuously produce disinfected effluent that is discharged in to natural water streams. Where there are existing infrastructures such as in irrigation canals and other waterways, there are strong possibilities for harvesting the unused kinetic and potential energy. This can vastly improve the electric power infrastructure and provide greater reliability of electric power service to the society.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"5 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":"124335842","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 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}