Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230880
A. Junid, M. Faudzi Yasir, A. Ithnin, V. Asirvadam, M. Iqbal Ridwan, A. Busrah
Operators of aging offshore platforms that require lifespan extension often undertake revamp and rejuvenation projects to replace or repair existing aged or obsolete platform equipment with newer ones that may also utilise newer technology. Although power generation technologies such as unmanned thermoelectric generation (TEG), photovoltaics, microturbines, gas generators and low energy lighting such as LEDs have existed for several decades, commercial implementation is still in principal subject to cost-benefit studies performed as part of revamp and rejuvenation projects. A recurring challenge in such studies is to estimate and compare capital, operations, maintenance, logistics, manning and reliability costs while keeping an eye on what level of upfront capital expenditure is reasonable, given project budgets. This paper summarises such considerations taken during a revamp and rejuvenation project at an aging pipeline network hub platform. A decision on whether to install new equipment and technology or recondition and retain existing ones could then be taken in terms of optimal life-cycle cost, reliability and available project budgets.
{"title":"Generation and load life-cycle cost optimisation study at an offshore hub platform","authors":"A. Junid, M. Faudzi Yasir, A. Ithnin, V. Asirvadam, M. Iqbal Ridwan, A. Busrah","doi":"10.1109/PEOCO.2012.6230880","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230880","url":null,"abstract":"Operators of aging offshore platforms that require lifespan extension often undertake revamp and rejuvenation projects to replace or repair existing aged or obsolete platform equipment with newer ones that may also utilise newer technology. Although power generation technologies such as unmanned thermoelectric generation (TEG), photovoltaics, microturbines, gas generators and low energy lighting such as LEDs have existed for several decades, commercial implementation is still in principal subject to cost-benefit studies performed as part of revamp and rejuvenation projects. A recurring challenge in such studies is to estimate and compare capital, operations, maintenance, logistics, manning and reliability costs while keeping an eye on what level of upfront capital expenditure is reasonable, given project budgets. This paper summarises such considerations taken during a revamp and rejuvenation project at an aging pipeline network hub platform. A decision on whether to install new equipment and technology or recondition and retain existing ones could then be taken in terms of optimal life-cycle cost, reliability and available project budgets.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857925","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230895
O. Aliman, I. Musirin, M. Sulaiman
Distributed Generation (DG) is an auspicious solution to many power system problems such as voltage regulation, power loss minimization, effective operating power factor, etc. This paper presents a modified Artificial Bee Colony (ABC) algorithm to suit the searching for the optimal DG sizing and placement in a distribution network. The problem formulation and the proposed technique are tested on a 28-bus Malaysian distribution system. In confirming the effectiveness of this method to determine the minimum power loss which respects to its optimal size and placement, the proposed population-based meta-heuristic approach is compared with the Evolutionary Programming (EP) method for validation and accuracy. The analysis is focused on the sizing impact when considering the cost factor without neglecting the importance to maintain the minimal loss. The results have shown comparatively the same with EP in terms of the computational efficiency. Significance of savings could be achieved while having a low investment of DG installation with a minimum power loss.
{"title":"DG sizing impact for loss minimization considering cost factor","authors":"O. Aliman, I. Musirin, M. Sulaiman","doi":"10.1109/PEOCO.2012.6230895","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230895","url":null,"abstract":"Distributed Generation (DG) is an auspicious solution to many power system problems such as voltage regulation, power loss minimization, effective operating power factor, etc. This paper presents a modified Artificial Bee Colony (ABC) algorithm to suit the searching for the optimal DG sizing and placement in a distribution network. The problem formulation and the proposed technique are tested on a 28-bus Malaysian distribution system. In confirming the effectiveness of this method to determine the minimum power loss which respects to its optimal size and placement, the proposed population-based meta-heuristic approach is compared with the Evolutionary Programming (EP) method for validation and accuracy. The analysis is focused on the sizing impact when considering the cost factor without neglecting the importance to maintain the minimal loss. The results have shown comparatively the same with EP in terms of the computational efficiency. Significance of savings could be achieved while having a low investment of DG installation with a minimum power loss.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121789147","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230839
M. Talib, Z. Ibrahim, N. Abdul Rahim, N. Mohd Yaakop
Many applications use two or more motors operating in parallel configuration by using one variable speed drive. This system is able to control these multiple motors at the same desired motor speed operation which provide advantages in terms of components and cost reduction. However, the system is not able to control each motor separately if it is desired to operate at different speeds and it also cannot withstand the load disturbance. To address this problem, the design of combined Vector Control-Direct Torque Control (DTC) methods is proposed and their performance is investigated for the case of independent controlled two induction motors fed by single Five Leg Inverter (FLI) method. Double Zero Sequence (DZS) Injection Method Space Vector Pulse Width Modulation (SVPWM) scheme is used for the FLI. Simulation results from the Simulink/Matlab that verify the validity of the method are also included. The results show the ability of the proposed method to control motor speed independently under forward-reverse step speed command and load disturbance condition.
{"title":"Development of combined vector and Direct Torque Control methods for independent two induction motor drives","authors":"M. Talib, Z. Ibrahim, N. Abdul Rahim, N. Mohd Yaakop","doi":"10.1109/PEOCO.2012.6230839","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230839","url":null,"abstract":"Many applications use two or more motors operating in parallel configuration by using one variable speed drive. This system is able to control these multiple motors at the same desired motor speed operation which provide advantages in terms of components and cost reduction. However, the system is not able to control each motor separately if it is desired to operate at different speeds and it also cannot withstand the load disturbance. To address this problem, the design of combined Vector Control-Direct Torque Control (DTC) methods is proposed and their performance is investigated for the case of independent controlled two induction motors fed by single Five Leg Inverter (FLI) method. Double Zero Sequence (DZS) Injection Method Space Vector Pulse Width Modulation (SVPWM) scheme is used for the FLI. Simulation results from the Simulink/Matlab that verify the validity of the method are also included. The results show the ability of the proposed method to control motor speed independently under forward-reverse step speed command and load disturbance condition.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133146658","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230896
M. Rahim, I. Musirin, Z. Hamid, N. A. M. Kamari
In a modern urbanization metropolitan country, energy especially electrical energy is considered as an inevitable necessity because of their need have been seen apparently increase every year. Since then, the congestion in the power system had brought serious problems for the utility in particular. If the problems are not handled with care, a grisly catastrophic event is waiting, thus an appropriate method is recommended in order to explore a new approach to solve congestion issue. In this paper, congestion management with the bee colony optimisation (BCO) technique in solving the congestion problems in power system is presented. The BCO has been used in IEEE 30-Bus Reliability Test System (RTS) Bus and IEEE 26-RTS Bus to validate its capability. However for the verification purposes, other optimization such as Evolutionary Programming (EP) and Particle Swarm Optimisation Technique (PSO) are also be used.
{"title":"BCO based technique for line outage identification in congestion management","authors":"M. Rahim, I. Musirin, Z. Hamid, N. A. M. Kamari","doi":"10.1109/PEOCO.2012.6230896","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230896","url":null,"abstract":"In a modern urbanization metropolitan country, energy especially electrical energy is considered as an inevitable necessity because of their need have been seen apparently increase every year. Since then, the congestion in the power system had brought serious problems for the utility in particular. If the problems are not handled with care, a grisly catastrophic event is waiting, thus an appropriate method is recommended in order to explore a new approach to solve congestion issue. In this paper, congestion management with the bee colony optimisation (BCO) technique in solving the congestion problems in power system is presented. The BCO has been used in IEEE 30-Bus Reliability Test System (RTS) Bus and IEEE 26-RTS Bus to validate its capability. However for the verification purposes, other optimization such as Evolutionary Programming (EP) and Particle Swarm Optimisation Technique (PSO) are also be used.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133196441","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230877
S. Alzubaidi, P. K. Soori
Today, energy shortage and carbon emission are the major challenges faced by many countries. There are many ways to save energy in every sector thereby reducing the carbon emission and global warming. Qatar, in the Middle East has shown growing demand for electricity consumption. In Qatar, the energy consumption by 2020 is expected to reach 80,648GWh and the energy consumption for lighting alone is expected to be 15,323GWh. Lighting is used in many applications and it is one of the areas that offer many opportunities for improving the energy efficiency thereby reducing the energy consumption. This paper presents a case study on energy efficient street lighting system design for the roadways in Energy City Qatar. Simulation software DIALux4.9 is used to investigate the efficient street lighting scheme through the use of different types of lamps and highlights how the concepts can be visually compared, its cost effectiveness can be studied during the design phase in order for the decisions to be made prior to its implementation. The study has concluded that forty percent reduction in the energy consumption can be achieved with the proposed street lighting system design.
{"title":"Study on energy efficient street lighting system design","authors":"S. Alzubaidi, P. K. Soori","doi":"10.1109/PEOCO.2012.6230877","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230877","url":null,"abstract":"Today, energy shortage and carbon emission are the major challenges faced by many countries. There are many ways to save energy in every sector thereby reducing the carbon emission and global warming. Qatar, in the Middle East has shown growing demand for electricity consumption. In Qatar, the energy consumption by 2020 is expected to reach 80,648GWh and the energy consumption for lighting alone is expected to be 15,323GWh. Lighting is used in many applications and it is one of the areas that offer many opportunities for improving the energy efficiency thereby reducing the energy consumption. This paper presents a case study on energy efficient street lighting system design for the roadways in Energy City Qatar. Simulation software DIALux4.9 is used to investigate the efficient street lighting scheme through the use of different types of lamps and highlights how the concepts can be visually compared, its cost effectiveness can be studied during the design phase in order for the decisions to be made prior to its implementation. The study has concluded that forty percent reduction in the energy consumption can be achieved with the proposed street lighting system design.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115333847","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230907
M. M. Othman, S. R. Kasim, N. A. Salim, I. Musirin
Disturbance to the electric power system often occurs with different impact. Those power system disturbances cannot be avoided but it can be mitigated by having a premeditated action which refers to the risk assessment. This paper presents the bootstrap technique that used to assess the risk of a power system at every uncertainty level of system states and load variations. In addition, the risk based uncertainty assessment is determined when the load is increased by 20%, 40% and 60% from the base case condition. The effectiveness of bootstrap technique in risk based uncertainty assessment is tested on a case study of 24-bus IEEE Reliability Test System (RTS).
{"title":"Risk based uncertainty (RibUt) of power system considering the increased of load demand","authors":"M. M. Othman, S. R. Kasim, N. A. Salim, I. Musirin","doi":"10.1109/PEOCO.2012.6230907","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230907","url":null,"abstract":"Disturbance to the electric power system often occurs with different impact. Those power system disturbances cannot be avoided but it can be mitigated by having a premeditated action which refers to the risk assessment. This paper presents the bootstrap technique that used to assess the risk of a power system at every uncertainty level of system states and load variations. In addition, the risk based uncertainty assessment is determined when the load is increased by 20%, 40% and 60% from the base case condition. The effectiveness of bootstrap technique in risk based uncertainty assessment is tested on a case study of 24-bus IEEE Reliability Test System (RTS).","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115012965","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230865
M. Irwanto, T. Mansur, M. Irwan, Gomesh nair Shasidharan
This paper presents a new topology of optimum maximum voltage angle and current total harmonic distortion (CTHD) of uninterruptible power supply (UPS) on three level single phase photovoltaic (PV) - wind power hybrid inverter. It consists of four main circuits; they are a hybrid controller circuit, a charger circuit, a pulse driver and full bridge circuit. Its main energy sources are a PV array and wind power generation. In this research, a new technique to optimize the CTHD is by changing maximum voltage angle of the three level waveform that created by a microcontroller PIC16F627A-I/P and searched the lowest CTHD. This inverter is completed by stand by UPS, when the main power source fails, the battery can power the inverter and the microcontroller controls the UPS transfer switch. The result shows that for lamp load of 10 W, the lowest CTHD is obtained when the maximum voltage angle is 134°.
{"title":"Optimum maximum voltage angle and current total harmonic distortion of uninterruptible power supply on three level single phase photovoltaic - Wind power hybrid inverter","authors":"M. Irwanto, T. Mansur, M. Irwan, Gomesh nair Shasidharan","doi":"10.1109/PEOCO.2012.6230865","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230865","url":null,"abstract":"This paper presents a new topology of optimum maximum voltage angle and current total harmonic distortion (CTHD) of uninterruptible power supply (UPS) on three level single phase photovoltaic (PV) - wind power hybrid inverter. It consists of four main circuits; they are a hybrid controller circuit, a charger circuit, a pulse driver and full bridge circuit. Its main energy sources are a PV array and wind power generation. In this research, a new technique to optimize the CTHD is by changing maximum voltage angle of the three level waveform that created by a microcontroller PIC16F627A-I/P and searched the lowest CTHD. This inverter is completed by stand by UPS, when the main power source fails, the battery can power the inverter and the microcontroller controls the UPS transfer switch. The result shows that for lamp load of 10 W, the lowest CTHD is obtained when the maximum voltage angle is 134°.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116428412","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230860
Arfah Ahmad, Intan Azmira, Suziana Ahmad, N. Apandi
This paper present an approach to estimate the customer load confidence interval using statistical distribution model. Time series data of load profile in the utility of Malaysia was analyze and this data was fit with two statistical distribution models, namely the normal and log-normal distribution. Goodness of fit test was performed in the selection of best model. Result shows that the customer load consumption for each seven days can be model using both distributions. An estimated 90%, 95% and 99% customer load confidence interval was done via both distribution models.
{"title":"Statistical distributions of load profiling data","authors":"Arfah Ahmad, Intan Azmira, Suziana Ahmad, N. Apandi","doi":"10.1109/PEOCO.2012.6230860","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230860","url":null,"abstract":"This paper present an approach to estimate the customer load confidence interval using statistical distribution model. Time series data of load profile in the utility of Malaysia was analyze and this data was fit with two statistical distribution models, namely the normal and log-normal distribution. Goodness of fit test was performed in the selection of best model. Result shows that the customer load consumption for each seven days can be model using both distributions. An estimated 90%, 95% and 99% customer load confidence interval was done via both distribution models.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121911040","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230898
F. Pazheri, Z. Kaneesamkandi, M. Othman
Alternate fuel availability helps to replace bagasse in sugar and make them available for other purposes like paper manufacture or ethanol production. Also, power plant operators are compelled to reduce emissions of pollutants during the generations of electricity due to the increased awareness of carbon footprint and its effect on the environment. An optimization is performed on one such scenario where a combination of solar energy, coal, biomass and bagasse are used. Minimization of the emissions and bagasse utilization are taken as multiobjective problem in this paper with combined use of coal and biomass along with bagasse. The problem is formulated as Bagasse Saving and Emission Reduction (BS&ER) power dispatch problem and the results of the simulation show that the combination of solar power and others fuels can reduce both bagasse utilization and the emission of pollutants.
{"title":"Bagasse Saving and Emission Reduction in power dispatch at sugar factory by co-generation and solar energy","authors":"F. Pazheri, Z. Kaneesamkandi, M. Othman","doi":"10.1109/PEOCO.2012.6230898","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230898","url":null,"abstract":"Alternate fuel availability helps to replace bagasse in sugar and make them available for other purposes like paper manufacture or ethanol production. Also, power plant operators are compelled to reduce emissions of pollutants during the generations of electricity due to the increased awareness of carbon footprint and its effect on the environment. An optimization is performed on one such scenario where a combination of solar energy, coal, biomass and bagasse are used. Minimization of the emissions and bagasse utilization are taken as multiobjective problem in this paper with combined use of coal and biomass along with bagasse. The problem is formulated as Bagasse Saving and Emission Reduction (BS&ER) power dispatch problem and the results of the simulation show that the combination of solar power and others fuels can reduce both bagasse utilization and the emission of pollutants.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129430894","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}
Pub Date : 2012-06-06DOI: 10.1109/PEOCO.2012.6230843
A. Kazemi, A. Mohamed, H. Shareef
This paper presents a novel method to placement of power quality monitors (PQMs) by using the multivariable regression (MVR) model, the Cp and Rp statistical indices. In this method initially, fault data in each bus is collected and then the correlation coefficient (CC) which show the relationship between buses during system disturbances are calculated to identify two or three buses with the highest CC values. These buses are considered as the most sensitive buses in the system. The identified bus voltages are then considered as independent variables in the developed MVR model to estimate the other bus voltages. After selecting two or three buses that have maximum and minimum frequency of the calculated CC, Cp and Rp, the appropriate number and placement of PQMs is then determined based on the lowest value of the Cp and a suitable value of the Rp. To validate the proposed PQM placement method, the IEEE 30 bus test system and the 69 bus test system are used.
{"title":"A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks","authors":"A. Kazemi, A. Mohamed, H. Shareef","doi":"10.1109/PEOCO.2012.6230843","DOIUrl":"https://doi.org/10.1109/PEOCO.2012.6230843","url":null,"abstract":"This paper presents a novel method to placement of power quality monitors (PQMs) by using the multivariable regression (MVR) model, the Cp and Rp statistical indices. In this method initially, fault data in each bus is collected and then the correlation coefficient (CC) which show the relationship between buses during system disturbances are calculated to identify two or three buses with the highest CC values. These buses are considered as the most sensitive buses in the system. The identified bus voltages are then considered as independent variables in the developed MVR model to estimate the other bus voltages. After selecting two or three buses that have maximum and minimum frequency of the calculated CC, Cp and Rp, the appropriate number and placement of PQMs is then determined based on the lowest value of the Cp and a suitable value of the Rp. To validate the proposed PQM placement method, the IEEE 30 bus test system and the 69 bus test system are used.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236962","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}
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