Nahid-Al-Masood, Mehdi Z. Sadi, S. R. Deeba, R. Siddique
{"title":"Analyzing the impact of temperature on electrical load","authors":"Nahid-Al-Masood, Mehdi Z. Sadi, S. R. Deeba, R. Siddique","doi":"10.1109/PEOCO.2010.5559225","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559225","url":null,"abstract":"This paper presents an analysis technique of the impact of temperature on electrical load. A linear regression based analysis of temperature sensitivity of Bangladesh electrical load is performed for this purpose. The analysis recognizes that the load pattern of Bangladesh Power System (BPS) is heavily dependent on temperature. This study also shows that, temperature sensitivity of Bangladesh network load varies with the seasonal variation. A momentous portion of the electrical energy is consumed in Bangladesh, especially in summer season, to mitigate the impact of weather on the daily life of human society. This temperature sensitivity analysis will help to incorporate the effect of weather conditions to short-term and mid-term load forecasting. Numerical results of temperature sensitivity of BPS load are presented in a methodical way for the year 2009. A comparison of the temperature sensitivities of BPS load from the year 2001 to 2009 is also presented here.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"50 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113982718","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}
R. A. Rahman, S. Sulaiman, A. M. Omar, S. Shaari, Z. Zain
{"title":"Performance analysis of a grid-connected PV system at Malaysian Energy Centre, Malaysia","authors":"R. A. Rahman, S. Sulaiman, A. M. Omar, S. Shaari, Z. Zain","doi":"10.1109/PEOCO.2010.5559155","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559155","url":null,"abstract":"This paper presents the performance of a 6.08 kWp grid-connected photovoltaic (PV) system installed at Malaysian Energy Centre (PTM), Bangi, Malaysia. The site is located at the latitude of approximately 2.96°N and longitude of 101.75°E. The system was commissioned on 14th June 2007 and the system performance has been monitored since 15th Jan 2008. The system comprises 6.08 kWp of PV array and a 4.6 kW inverter. An irradiance sensor and two temperature sensors are connected externally to the system via the inverter to obtain the irradiance, ambient temperature and module temperature profiles at the site. Apart from that, other performance data such as AC current AC voltage, DC current and DC voltage are recorded from the inverter. During the monitoring period, all data were recorded based on 15 minute interval. To date, the system had produced 17.205 MWh of solar electricity since commissioning.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"35 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":"132486330","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 simplified speed controller for direct torque neuro fuzzy controlled induction machine drive based on a variable gain PI controller","authors":"A. Draou, A. Miloudi","doi":"10.1109/PEOCO.2010.5559235","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559235","url":null,"abstract":"This paper presents an original variable gain PI (VGPI) controller for speed control of a simplified direct torque neuro fuzzy controlled (DTNFC) induction motor drive. First, a simplified direct torque neuro fuzzy control (DTNFC) for a voltage source PWM inverter fed induction motor drive is presented. This control scheme uses the stator flux amplitude and the electromagnetic torque errors through an adaptive NF inference system (ANFIS) to generate a voltage space vector (reference voltage) which is used by a space vector modulator to generate the inverter switching states. In this paper a four rules ANFIS structure is proposed. This structure generates the desired reference voltage by acting on both the amplitude and the angle of its components. Then a VGPI controller is designed in order to be used as the speed controller in the simplified DTNFC induction motor drive. Simulation of the simplified DTNFC induction motor drive using VGPI for speed control shows promising results. The motor reaches the reference speed rapidly and without overshoot, load disturbances are rapidly rejected and the detuning problem caused by the stator resistance variation is fairly well dealt with.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"8 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132498405","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}
R. C. Bahaudin, I. Daut, S. Hardi, N. Hashim, I. Nisja, Hasan Syafruddin
{"title":"Investigation of influence of voltage source type on harmonic characteristics","authors":"R. C. Bahaudin, I. Daut, S. Hardi, N. Hashim, I. Nisja, Hasan Syafruddin","doi":"10.1109/PEOCO.2010.5559182","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559182","url":null,"abstract":"This paper discussed about influence of voltage source types on harmonic characteristics. Usually, the voltage source is sinusoidal. But in actually, the condition of the load is has voltage sources through the elements where the output voltage of element as input to load is did not pure sinusoidal, for example at PCC between transformer and linear load and nonlinear load. The research has done with Schhafner Power Quality Analyzer. To describe the harmonic characteristic due to types of voltage source will shown as IHD, p.f., THD, and harmonic energy losses cost from measurement. As voltage source in this research are sine wave and combinations of 3rd, 5th and 7th harmonic order, and square waveform are create by means of Schhafner Power Quality Analyzer.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"4 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":"132227214","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":"Application of regression and tracing methodology for efficient operation of generators and retailers in a deregulated system","authors":"P. Nallagownden, Tze Yang Lee","doi":"10.1109/PEOCO.2010.5559172","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559172","url":null,"abstract":"Continuing trend towards deregulation and unbundling of transmission services has resulted in the need to measure the flow of power primarily for pricing and tariff purposes. Tracing methodology hence had been introduced to overcome problems related to the Marginal pricing of transmission costs. This study is twofold: the first revolves around the validation of the method and a 3600 analysis of the proportional method which leads to a redefined power tracing method; the second is to further refine the proposed prediction method by establishing trends of the learning coefficients, using them to examine the relationship between accuracy and number of samples taken. Response of individual generators to change in demand and the corresponding associated losses are also presented. MATLAB with matpower4.0b extension was used to present the study on the IEEE 24bus RTS.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"67 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":"115844070","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":"Determination of generators' contributions to, loads in pool based power system using Least Squares Support Vector Machine","authors":"M. Mustafa, M. Sulaiman, H. Shareef, S. Khalid","doi":"10.1109/PEOCO.2010.5559183","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559183","url":null,"abstract":"This paper attempts to allocate the generators' contributions to loads in pool based power system by incorporating the Least Squares Support Vector Machine (LS-SVM). The idea is to use supervised learning approach to train the LS-SVM. The technique that uses proportional tree method (PTM) which is applying the convention of proportional sharing principle is utilized as a teacher. Based on converged load flow and followed by PTM for power tracing procedure, the description of inputs and outputs of the training data for the LS-SVM are created. The LS-SVM will learn to identify which generators are supplying to which loads. The proposed technique is demonstrated using IEEE 14-bus system to illustrate the effectiveness of the LS-SVM technique compared to that of the PTM. The comparison result with Artificial Neural Network (ANN) technique is also will be discussed.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"188 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":"123001819","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}
Nurul Arina bte Abdull Razak, Muhammad Murtadha Othman, M. M. bin Othman, I. Musirin
{"title":"Optimal sizing and operational strategy of hybrid renewable energy system using homer","authors":"Nurul Arina bte Abdull Razak, Muhammad Murtadha Othman, M. M. bin Othman, I. Musirin","doi":"10.1109/PEOCO.2010.5559240","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559240","url":null,"abstract":"Nowadays, the power system utility has started to consider the green power technology in order for the world to have a healthier environment. The wind energy and solar energy system are chosen in designing a hybrid renewable power system as they do not release any emission to the atmosphere. In addition, by maximizing the use of the renewable energy, the diesel generator used in the system could also be reduced. Therefore, this paper will discuss on the optimization of the renewable energy hybrid system based on the sizing and operational strategy of generating system. The optimization software used in this analysis is the Hybrid Optimization Model for Electric Renewable (HOMER). The sensitivity analysis is also performed to obtain the optimal configuration of hybrid renewable energy based on different combinations of generating system.","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":"129378193","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":"Enhancement of power quality in distribution system using D-STATCOM","authors":"N. Ismail, Wan Norainin Wan Abdullah","doi":"10.1109/PEOCO.2010.5559245","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559245","url":null,"abstract":"This paper presents the enhancement of voltage sags, harmonic distortion and low power factor using Distribution Static Compensator (D-STATCOM) with LCL Passive Filter in distribution system. The model is based on the Voltage Source Converter (VSC) principle. The D-STATCOM injects a current into the system to mitigate the voltage sags. LCL Passive Filter was then added to D-STATCOM to improve harmonic distortion and low power factor. The simulations were performed using MATLAB SIMULINK version R2007b.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"288 1-2 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":"131935085","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":"Influence of the mix 60° - 23° in different layers of T-joint of 3phase transformer core on longitudinal direction of flux distribution","authors":"D. Ahmad, F. Fauzi","doi":"10.1109/PEOCO.2010.5559187","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559187","url":null,"abstract":"This paper describes the result of investigation of longitudinal direction of flux distribution in 100kVA 3phase distribution transformer assembled with the mix 60° - 23° in different layers of T-joint. The measurement involves the fundamental and third harmonic of the easy and hard direction of flux density at each location measurement. The flux distributions have been measured using no load test by arrays of search coil in M5 (CGO) grades material of transformer core laminations. The localised flux density at the outer the mix 60° -23° in different layers of T-joint is 1.4T and rises to be 1.7T at the inner edges of the mix60° - 23° in different layers of T-joint when the transformer core energized 1.5 T 50Hz. Harmonic occurs mostly in the T-joint where local regions are saturated and the flux deviates from the rolling direction. A small amount of flux deviation from the rolling direction occurs at the overlap, but no rotational flux is present in the joint.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"124 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":"132602148","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}
R. F. Mustapa, M. S. Serwan, N. Hamzah, Z. Zakaria
{"title":"The propagation of voltage sag through transformer connections in a power system network","authors":"R. F. Mustapa, M. S. Serwan, N. Hamzah, Z. Zakaria","doi":"10.1109/PEOCO.2010.5559229","DOIUrl":"https://doi.org/10.1109/PEOCO.2010.5559229","url":null,"abstract":"Due to the increasing of power system fault and failure, voltage sag (dip) will occur instantaneously with respect to the fault and failure itself. The power system network consists of high voltage (HV), medium voltage (MV) and low voltage busbar (LV). Monitoring equipment in the power systems network are installed at strategic and appropriate 33/11 kV feeder. The propagation and the travelling of voltage sag from one busbar to another busbar can't be recorded in each part of the power system network. This paper has been written to investigate the propagation of voltage sag from one busbar to the other busbar through transformer connections due to power system faults. Power System Computer Aided Design (PSCAD/EMTDC) will be used to construct and simulate a power system model network. The results of this work later will be used to develop an empirical rule for the propagation of voltage sag in power system network. It is hoped that the empirical rule can be used for an example planning for voltage sag mitigation in the power system networks and monitoring purposes.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"17 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":"123384961","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}