M. H. Naushath, A. Rajapakse, A. Gole, I. Fernando
{"title":"Energization and regulation of a hybrid HVDC grid with LCC and VSC","authors":"M. H. Naushath, A. Rajapakse, A. Gole, I. Fernando","doi":"10.1109/EPEC.2017.8286225","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286225","url":null,"abstract":"A novel hybrid HVDC grid configuration consisting of line commutated converters (LCCs) and voltage source converters (VSCs) is investigated in this paper. The proposed hybrid HVDC grid can be used to deliver power to intermediate urban/remote load centers or collect power from remote/renewable generation at sites along a long LCC transmission line. An electromagnetic transients (EMT) simulation model of a four terminal HVDC grid was developed together with master controls required to maintain the desired power flow. Two possible operating modes were investigated. In the first mode, two VSCs tap into an LCC HVDC link. In the second mode, two VSCs share the surplus transmission capacity of an LCC HVDC line for point-to-point power transfer. Control strategies to start-up the converter stations, energize the grid, and controls to achieve the desired power flow between converter stations are proposed. With the proposed controls and energization sequence, smooth operation of the whole grid could be achieved for both modes of operation.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133549303","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":"Time to voltage collapse dependence of load shedding to avoid voltage collapse","authors":"T. Alzahawi, M. Sachdev, G. Ramakrishna","doi":"10.1109/EPEC.2017.8286195","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286195","url":null,"abstract":"Power transmission systems of today are operating closer to their limits due to economic and environmental constrains. As a consequence, many systems around the world experience voltage collapse leading to partial or complete blackouts. Load shedding is a cost effective solution for preventing system collapse. In this paper, a new load shedding scheme based on the algorithm of time to voltage collapse is presented. The developed scheme uses not only local voltage and current measurements but also measurements from nearby buses to determine optimum time and location for load shedding. The developed scheme was tested using the IEEE 30-Bus test system for variety of operating conditions.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122225915","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 linear programing model for coordinated low-carbon generation and transmission expansion planning","authors":"V. Asgharian, M. Abdelaziz","doi":"10.1109/EPEC.2017.8286188","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286188","url":null,"abstract":"This paper presents a linear programming model for coordinated generation and transmission expansion planning to move towards a low-carbon power system. Uncertainties of renewable energy resources have been considered in the developed model. Moreover, different carbon emission reduction policies have been taken into consideration and their effect on the system planning has been investigated. The effects of possible energy trades, as well as energy resources expansion limitations, on the planning process and the anticipated emission reductions have also been investigated. Numerical results have been developed in MATLAB environment to test the performance of the proposed model.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166506","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}
Yi Zhang, Bin Chen, Yue Xiang, Wei Yang, Junyong Liu, You-bo Liu
{"title":"Long-term charging demand modeling and analysis","authors":"Yi Zhang, Bin Chen, Yue Xiang, Wei Yang, Junyong Liu, You-bo Liu","doi":"10.1109/EPEC.2017.8286142","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286142","url":null,"abstract":"Long-term charging demand modeling of the plug-in electric vehicles (PEVs) is essential for various sectors involved to promote the proliferation of PEVs and friendly integrate large population of PEVs into power systems. Considering the market penetration development of PEVs will drive the evolution of charging demand, a long-term PEVs charging demand model based on agent-based technology is proposed in this paper, which modeling individual heterogeneous consumers displaying different preferences when making vehicle purchase decisions and charging behaviors as intelligent agents, and the interactions among consumers due to social dynamics are also taken into consideration. Case studies demonstrate the feasibility and effectiveness of the proposed methodology. Furthermore, the factors that affect the market evolution of PEVs and different charging strategies are also analyzed.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125603145","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":"Fault analysis of accurate PV connected system against dynamic fast solar radiation fluctuation","authors":"Browh Serge Tekpeti, X. Kang, M. Kheshti","doi":"10.1109/EPEC.2017.8286147","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286147","url":null,"abstract":"Renewable energies integrated systems protection issues need proper fault analysis investigation. Based on simulated solar radiation fluctuation the case of accurate 6.5 kV dc photovoltaic (PV) connected system is discussed in this paper. The detailed control strategy is PV side control and inverter side control. The synchronous rotating frame (SRF) method is applied to design a current control strategy to control three-phase voltage source inverter (VSI) using park transform. Maximum power point tracking (MPPT), voltage control, phase locked loop (PLL), sinusoidal pulse width modulation (SPWM), LCL filters, and pulse width modulation (PWM) techniques are implemented in PSCAD software based simulation. The grid has 110 kV and 100 MVA power rating connected to the 6.5 kV PV farm through two step-up delta-star transformers making use of transmission lines. Symmetrical and asymmetrical faults are analyzed during high and low levels short time and dynamic irradiation fluctuation to discuss relevant PV system variables waveforms. These results could be needed to further investigate protection problems and related issues in high PV penetration systems suffering from unpredictable nature of solar radiation.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958693","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}
Kun Zhao, Lin Cheng, Chaohai Zhang, Dexin Nie, Wei Cai
{"title":"Induction motors lifetime expectancy analysis subject to regular voltage fluctuations","authors":"Kun Zhao, Lin Cheng, Chaohai Zhang, Dexin Nie, Wei Cai","doi":"10.1109/EPEC.2017.8286230","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286230","url":null,"abstract":"The behaviours of induction motor, even the lifetime, are strongly depending on the power supply quality, such as voltage sags, harmonics and voltage unbalance. The winding temperature increase resulting to insulation breakdown has been considered as one of major causes of the motor failure. This paper investigates the lifetime impact of voltage fluctuations on induction motor, particularly the induction motor operating lifetime reduction which is contributed from stator current variation characteristic. Additionally, the induction motor lifetime expectancy analysis with different load level is also represented subject to two voltage fluctuations conditions, which is (1) constant voltage magnitude change with different modulation frequency. (2) flicker level Pst = 3 with different modulation frequency. (3) different voltage magnitude change with different modulation frequency. The demonstration results show the decrease of induction motor lifetime caused by voltage fluctuations is considerably depended on voltage change, modulation frequency and load level, and this reduction tendency cannot be indicated by the flicker index Pst value. Thus, one advanced power quality (PQ) index need to be proposed to specify the impact on electrical equipment originated from low frequency voltage distortion.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122900036","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":"CCM-DCM average current control for both continuous and discontinuous conduction modes boost PFC converters","authors":"L. Wang, Q. Wu, W. Tang, Z. Y. Yu, W. Ma","doi":"10.1109/EPEC.2017.8286149","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286149","url":null,"abstract":"This paper presents a CCM-DCM average current control (CDAC) control method for effectively controlling boost power factor correctors (PFCs). It is capable of operating in both the continuous conduction mode (CCM), the mixed conduction mode (MCM) and the discontinuous conduction mode (DCM). By estimating the average value of the inductor current in each switching cycle, the CDAC control method efficiency improvements and harmonic distortion reductions in boost PFCs operating over wide load range, especially operating in the DCM mode. Besides, it is mathematically and computationally simple. Compared with the conventional average current control method, simulation results verify the feasibility and performances of the proposed CDAC control method.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121225719","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":"Detection of false data injection in automatic generation control systems using Kalman filter","authors":"Mohsen Khalaf, A. Youssef, E. El-Saadany","doi":"10.1109/EPEC.2017.8286194","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286194","url":null,"abstract":"Automatic Generation Control (AGC) is a vital power system component responsible for the system frequency regulation. Also, it helps to minimize the tie-line power deviation in multi-area systems. The AGC uses communication to send/receive measurements/control actions about frequency and power deviation in power system. Small errors in AGC can drive the frequency out of the allowable range and blackouts may occur. Since communication links in recent smart grids are targets of cyber attackers, this renders AGC systems in modern smart grids susceptible to false data injection attacks. This paper investigates the impact of cyber attacks on the AGC and how the adversary can perform an attack against it. Also, it proposes a method to detect these attacks using a Kalman filter-based technique. To confirm the effectiveness of this approach, a 2-area power system is simulated using MATLAB/Simulink. The results show that the utilized technique is capable of detecting various types of false data injection attacks against AGC systems.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128492116","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":"Performance analysis of dimensionality reduction techniques for demand side management","authors":"Ahmed Aleshinloye, Abdul Bais, I. Al-Anbagi","doi":"10.1109/EPEC.2017.8286232","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286232","url":null,"abstract":"The advancement of the electric grid has led to tremendous growth in data generated from the installed sensors. Smart meters measure the electric energy usage of a consumer, transmit the measured data to the utility and receive pricing information. This requires a two way communication between the utility and the end user. With the projected increase in the number of deployed smart meters, utilities would be facing challenges in handling huge quantities of data, referred to as Big Data. For the analysis of the large data to be tractable, we need to extract important lower dimensional features from raw measurements. In this paper we critically analyze dimensionality reduction of smart meter data for smart grid applications. We compare performance of two dimensionality reduction techniques, Random Projection and Principal Component Analysis, on projecting smart meters data onto a linear subspace of reduced dimensions. We compute the Euclidean distance between pair of data samples in the original and reduced dimensions and obtained the mean and standard deviation of the relative error. Additionally, we cluster the users using the original data and after applying dimensionality reduction. The sum of square error (SSE), distance between datapoints and the centroid in a given cluster, is used to compare the clustering performance of the two techniques.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128783991","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":"Optimum design of an inner slider Tubular linear PM synchronous actuator","authors":"N. Razavi, A. Siadatan, S. Hosseinirad","doi":"10.1109/EPEC.2017.8286174","DOIUrl":"https://doi.org/10.1109/EPEC.2017.8286174","url":null,"abstract":"Actuators have a wide field of usages in all dimensions of our life. These days technology's sensibility is very high and is still growing, so electrical actuators are using more than ever because of their ability to control. PM synchronous actuators are using commonly in different applications such as automation, robotic arms, transportation and etc… in this paper we are going to design an inner slider Tubular linear permanent magnet synchronous actuator, using an algorithm includes some optimizing factors. after that we have to simulate the designed actuator by finite elements method, and find the optimized design through changing the geometric parameters and comparing the results.","PeriodicalId":141250,"journal":{"name":"2017 IEEE Electrical Power and Energy Conference (EPEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127466830","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}