L. Mackay, Panagiotis Kolios, L. Ramirez-Elizondo, P. Bauer
{"title":"Voltage dependent demand response with dynamic hysteresis thresholds in DC microgrids","authors":"L. Mackay, Panagiotis Kolios, L. Ramirez-Elizondo, P. Bauer","doi":"10.1109/PTC.2015.7232730","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232730","url":null,"abstract":"DC renewable energy sources and dc loads are gaining attraction and they are preferably connected in dc microgrids. To increase the availability of dc microgrids, voltage dependent demand response should be used to switch off low priority loads in case of insufficient supply. This is possible even without communication with the loads. In this paper it is shown that using a voltage hysteresis with fixed thresholds to switch loads on and off, does not provide a general solution and oscillations can occur in specific cases. Dynamic hysteresis thresholds are introduced as a mean for devices to autonomously learn the present behavior of the grid to which they are connected.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124706688","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}
E. O. Kontis, A. Chrysochos, G. Papagiannis, T. Papadopoulos
{"title":"Development of measurement-based generic load models for dynamic simulations","authors":"E. O. Kontis, A. Chrysochos, G. Papagiannis, T. Papadopoulos","doi":"10.1109/PTC.2015.7232800","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232800","url":null,"abstract":"In this paper the development of robust measurement-based load models for dynamic simulations is discussed. Load model parameters vary significantly, due to different loading conditions, thus, load models obtained from measurements are valid only for a specific operating condition and cannot be easily generalized. Scope of the paper is to develop a generic load model, suitable for dynamic simulations over a wide range of operating and loading conditions. In order to derive the proposed generic model, three methodologies are thoroughly investigated. Several simulation scenarios of different operational conditions are examined with NEPLAN software and are used to validate the accuracy of the proposed models.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755629","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}
F. Adinolfi, S. Massucco, M. Saviozzi, F. Silvestro, E. Ciapessoni, D. Cirio, A. Pitto
{"title":"An innovative probabilistic methodology for net transfer capacity evaluation","authors":"F. Adinolfi, S. Massucco, M. Saviozzi, F. Silvestro, E. Ciapessoni, D. Cirio, A. Pitto","doi":"10.1109/PTC.2015.7232712","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232712","url":null,"abstract":"In the context of transmission system planning, research proposes methods to assess the effect of uncertainties of power system operating condition due to forecasting errors of intermittent generation and loads. In particular probabilistic power flow methods are illustrated to calculate the probability distributions of the voltages and the branch currents, starting from the distributions of power injections/absorptions. These uncertainties play a key role in the operational planning of power systems, as certain configurations of load and intermittent generation can cause security problems. This paper aims to propose a probabilistic methodology to assess Net Transfer Capacity (NTC) among network areas, which quantifies forecast error uncertainties by applying the Point Estimate Method (PEM) combined with Third Order Polynomial Normal (TPN) Transformation. This approach is compared with a conventional NTC assessment technique and has been validated against Monte-Carlo benchmark on an IEEE test system.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128575365","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":"Intelligent day-ahead scheduling for distribution networks with high penetration of Distributed Renewable Energy Sources","authors":"B. Swaminathan, V. Debusschere, R. Caire","doi":"10.1109/PTC.2015.7232718","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232718","url":null,"abstract":"In order to help Distribution System Operators (DSO) effectively manage their distribution networks with a high penetration of Distributed Renewable Energy Sources (DRES), a new generation of tools is needed. These tools should help them manage their networks in a proactive way, be it short-term or long-term. This work proposes a day-ahead scheduling algorithm that takes into account forecasts of DRES generation and loads in a medium voltage (MV) distribution network, and intelligently utilizes flexibilities available in it, to provide an optimal day-ahead schedule. This schedule, depending on the accuracy of the forecasts, will provide a means for DSOs to manage their network with the lowest short-term operating expenditures. This proposed algorithm is validated on two test grids and the results obtained for typical conditions are shown.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127147427","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":"Demand forecasting associated with electric vehicle penetration on distribution systems","authors":"Andres F. Botero, M. Rios","doi":"10.1109/PTC.2015.7232236","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232236","url":null,"abstract":"This paper proposes a methodology for forecasting the electrical power demand associated to the penetration of electric vehicles on a distribution system. The simulation model is framed in a temporal and spatial base that considers a more detailed analysis of some demographical aspects and technical characteristics of the electric vehicles. This approach allows the assessment of the impact of such penetration in the different areas of a city, considering that each part of the network will have several consumption behaviors. Additionally, it gives the advantage to easily develop multiple case studies by adjusting driver pattern probabilities, electric vehicle characteristics, geographic and demographic parameters of the city and even charging scenarios.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127293300","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":"Phasor estimation under transient conditions","authors":"M. Paternina, A. Zamora, E. Vázquez M, J. Ramirez","doi":"10.1109/PTC.2015.7232242","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232242","url":null,"abstract":"This paper proposes novel strategies for estimating current and voltage dynamic phasors under transient conditions. Algorithms based on: (i) Taylor-Kalman-Fourier (TkKF) filter; (ii) Taylor-Kalman (TK) filter; and (iii) Prony's method (PM), are compared respect to the conventional discrete Fourier transform (DFT). Recently, several papers argue about the DFT disadvantages in transient conditions mainly due to its lack of adaptability under time-varying parameters. Results are presented for actual and simulated conditions, demonstrating the high performance of the above-mentioned algorithms.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483700","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}
S. Awadallah, J. Milanović, Zhongdong Wang, P. Jarman
{"title":"Assessment of suitability of different reliability importance measures for prioritising replacement of transmission system components","authors":"S. Awadallah, J. Milanović, Zhongdong Wang, P. Jarman","doi":"10.1109/PTC.2015.7232295","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232295","url":null,"abstract":"The paper presents a comparison of four widely used reliability importance measures in order to identify their appropriateness for the identification of the most critical system components for replacement planning; specifically when using Non-sequential Monte Carlo method. These importance measures are Improvement Potential, Structural Importance, Criticality Importance, and Fussell-Vesely Importance. The four reliability importance measures were calculated for each system component (power transformer in this particular study) and then components were ranked separately based on each measure. Then, the components were replaced, one by one starting from the most critical, to establish the relationship between the replacement according to each ranking and the overall system reliability. The study was performed on a realistic transmission network containing 154 transformers. The results of the paper proved that Improvement Potential is the most appropriate importance measure for replacement planning.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130198481","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 fuzzy approach for disturbances diagnosis and fault classification in power plants","authors":"Dionatan Augusto Guimaraes Cieslak, M. Moreto","doi":"10.1109/PTC.2015.7232435","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232435","url":null,"abstract":"The increase in the size of the current eletric power systems (EPSs) has led to the development of monitoring techniques of EPSs, which includes SCADA (Supervisory Control and Data Acquisition) systems, WAMS (Wide Area Measurement System) and also, disturbance records systems. Disturbance records systems are based on oscillographic records, generated by Digital Fault Recorders (DFRs) and allows the analysis electrical quantities and logical signals. Generally, in power plants, all the DRFs data are centralized in the utility data centre and this results in an excess of data that difficults in the task of analysis by the specialist engineers. This paper shows a methodology for automatic analysis of disturbances in power plants. A fuzzy reasoning system is proposed to deal with the data from the DFRs. The objective of the system is to help the engineer responsible for the analysis of the DRFs's information by means of a pre-classification of data and also, diagnose the relevant occurrences.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132899454","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":"Novel crowbar system in doubly fed induction generators","authors":"Darío Lafferte, M. Dias, P. Zacharias","doi":"10.1109/PTC.2015.7232626","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232626","url":null,"abstract":"Nowadays, grid code requirements demand that wind energy converters (WEC) remain connected to the grid during grid faults and contribute to the voltage support, in the same way as conventional power plants. WEC which are capable of ridding through grid faults providing voltage and reactive power support are connected to the grid via electronic power converters, increasing the failure risk and reducing the reliability due to the negative influence of cosmic radiation on semiconductors. Doubly fed induction generators (DFIG) are widely used for wind power generation, fulfil low voltage ride through (LVRT) requirements and need a power converter for only 30% of the rated generator capacity, reducing the chip area and increasing the operation reliability. The crowbar protection is indispensable to avoid the disconnection of DFIG during grid faults and the damage of the rotor side converter. This work analyses the crowbar operation according to the grid code requirements and presents a novel crowbar system.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132969108","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":"Normalized least mean squares observer for battery parameter estimation","authors":"E. Kruger, Q. Tran, K. Mamadou","doi":"10.1109/PTC.2015.7232752","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232752","url":null,"abstract":"Energy storage systems in Smart Grid applications can provide key services to transform the current power system through large-scale integration of renewable energy sources. They can assist in stabilizing the intermittent energy production, improve power quality and mitigate system peak loads. With the integration of energy storage systems into the grid, accurate and adaptive modeling becomes a necessity, in order to gain robust real-time control, in terms of network stability and energy supply forecasting. In this context, we propose an adaptive observer technique to identify the values of battery model parameters for the design of robust, low-maintenance battery management systems and integration alongside models of energy sources and electric loads into a real-time Smart Grid management system. The adaptive parameter estimation is based on a normalized recursive least mean squares algorithm and state-space mapping with a low computational burden which can accurately track parameter variations due to changing operating conditions and battery aging. Experimental data from commercial Li-Ion battery cells are used to validate the observer design and test results are reported.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132148337","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}