Pub Date : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028958
H. Maleki, M. Khederzadeh, V. Asgharian, O. Usta
The paper presents an algorithm for managing a microgrid which connected to the main grid via Back To Back Voltage Source Converter (BTB VSC) which can exchange power with adjacent grid. The proposed microgrid consists of a wind turbine generation unit, two photovoltaics generation units, a storage system, a fuel cell generation unit, a micro turbine and loads. Microgrid ability to manage itself in conditions which there is a definite power injection from upper grid and in another case the ability of microgrid in managing power deficiency which caused by photovoltaic generations is determined in two scenario. Simulation results verifies that BTB VSC can enable microgrid to use its controllable energy resources in power deficiency conditions and in the cases there are limitations of power injections from the main grid.
{"title":"Managing microgrid power generation by using back to back voltage source convertor","authors":"H. Maleki, M. Khederzadeh, V. Asgharian, O. Usta","doi":"10.1109/ISGTEUROPE.2014.7028958","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028958","url":null,"abstract":"The paper presents an algorithm for managing a microgrid which connected to the main grid via Back To Back Voltage Source Converter (BTB VSC) which can exchange power with adjacent grid. The proposed microgrid consists of a wind turbine generation unit, two photovoltaics generation units, a storage system, a fuel cell generation unit, a micro turbine and loads. Microgrid ability to manage itself in conditions which there is a definite power injection from upper grid and in another case the ability of microgrid in managing power deficiency which caused by photovoltaic generations is determined in two scenario. Simulation results verifies that BTB VSC can enable microgrid to use its controllable energy resources in power deficiency conditions and in the cases there are limitations of power injections from the main grid.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129229250","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028907
A. Ntomaris, E. Bakirtzis, D. Chatzigiannis, C. K. Simoglou, P. Biskas, A. Bakirtzis
The determination of reserves in a power system with high wind penetration is necessary to maintain the system balance in an economic way, especially in insular power systems where no interconnections to neighboring systems exist. This paper addresses the problem of quantifying the amount of spinning and non-spinning load-following reserves required for the normal operation of an insular power system using a two-stage stochastic optimization modeling framework. First stage (here-and-now) decisions represent the day-ahead scheduling performed by the System Operator, while the various realizations of the real-time operation of the power system modeled through a set of wind generation scenarios are second-stage (wait-and-see) decisions. Energy and reserves are jointly optimized. Test results from the application of the proposed model in the insular power system of Crete, Greece, are presented and thoroughly discussed.
{"title":"Reserve quantification in insular power systems with high wind penetration","authors":"A. Ntomaris, E. Bakirtzis, D. Chatzigiannis, C. K. Simoglou, P. Biskas, A. Bakirtzis","doi":"10.1109/ISGTEUROPE.2014.7028907","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028907","url":null,"abstract":"The determination of reserves in a power system with high wind penetration is necessary to maintain the system balance in an economic way, especially in insular power systems where no interconnections to neighboring systems exist. This paper addresses the problem of quantifying the amount of spinning and non-spinning load-following reserves required for the normal operation of an insular power system using a two-stage stochastic optimization modeling framework. First stage (here-and-now) decisions represent the day-ahead scheduling performed by the System Operator, while the various realizations of the real-time operation of the power system modeled through a set of wind generation scenarios are second-stage (wait-and-see) decisions. Energy and reserves are jointly optimized. Test results from the application of the proposed model in the insular power system of Crete, Greece, are presented and thoroughly discussed.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114518132","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028949
S. Koopmann, S. Nicolai, A. Schnettler
In the project SmartRegion Pellworm, a virtual power plant (VPP) consisting of renewable power plants, battery storage systems and electric storage heaters on household level is simulated, analyzed and demonstrated in real operation. This paper presents the modelling approach developed in the project to simulate and evaluate a VPP pursuing different operation strategies. These include a market driven, a grid supportive, a local supply oriented and a multifunctional strategy. A key component of the modelling approach is a mixed integer linear programming model for the optimization of VPP operation planning. The simulation results for the real test case on the German island Pellworm show that multifunctional operation is a promising solution to serve multiple stakeholders. However, market driven operation proves to be most profitable in the given market framework. First insights from the field test show how the simulated operation strategies are transferred to an energy management system for online VPP operation.
{"title":"Multifunctional operation of a virtual power plant in an active distribution grid: Modelling approaches and first field test experiences from the SmartRegion Pellworm project","authors":"S. Koopmann, S. Nicolai, A. Schnettler","doi":"10.1109/ISGTEUROPE.2014.7028949","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028949","url":null,"abstract":"In the project SmartRegion Pellworm, a virtual power plant (VPP) consisting of renewable power plants, battery storage systems and electric storage heaters on household level is simulated, analyzed and demonstrated in real operation. This paper presents the modelling approach developed in the project to simulate and evaluate a VPP pursuing different operation strategies. These include a market driven, a grid supportive, a local supply oriented and a multifunctional strategy. A key component of the modelling approach is a mixed integer linear programming model for the optimization of VPP operation planning. The simulation results for the real test case on the German island Pellworm show that multifunctional operation is a promising solution to serve multiple stakeholders. However, market driven operation proves to be most profitable in the given market framework. First insights from the field test show how the simulated operation strategies are transferred to an energy management system for online VPP operation.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115745740","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028848
Sami Abdelrahman, H. Liao, J. Milanović
The increasing penetration of converter connected distributed generation and the electric vehicles in today's distribution network, introduce new uncertainties to the harmonic performance evaluation. The common practice of day/week evaluation of harmonics may not be feasible for long term planning applications due to the spatial (EV) and temporal (DG) variation in harmonic sources. This paper proposes a probabilistic methodology to evaluate the annual harmonic performance of distribution network, considering the uncertainties involved due to the connection of distributed generation and electric vehicles including their temporal and spatial variation.
{"title":"The effect of temporal and spatial variation of harmonic sources on annual harmonic performance of distribution networks","authors":"Sami Abdelrahman, H. Liao, J. Milanović","doi":"10.1109/ISGTEUROPE.2014.7028848","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028848","url":null,"abstract":"The increasing penetration of converter connected distributed generation and the electric vehicles in today's distribution network, introduce new uncertainties to the harmonic performance evaluation. The common practice of day/week evaluation of harmonics may not be feasible for long term planning applications due to the spatial (EV) and temporal (DG) variation in harmonic sources. This paper proposes a probabilistic methodology to evaluate the annual harmonic performance of distribution network, considering the uncertainties involved due to the connection of distributed generation and electric vehicles including their temporal and spatial variation.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114356199","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028755
Federico Moscetti, S. Paoletti, A. Vicino
In this paper a time series approach is proposed for the analysis of electricity prices in the Italian ancillary services market. The objective is to forecast energy prices for lead times ranging from one hour to one day. Both black-box and grey-box multivariate models are adopted for the analysis of the conditional mean values of the price series. Real data regarding a geographical zone of the Italian electricity system are processed, showing that the adopted models allow for a significant reduction of the prediction error variance with respect to that of standard naive predictors.
{"title":"Analysis and models of electricity prices in the Italian ancillary services market","authors":"Federico Moscetti, S. Paoletti, A. Vicino","doi":"10.1109/ISGTEUROPE.2014.7028755","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028755","url":null,"abstract":"In this paper a time series approach is proposed for the analysis of electricity prices in the Italian ancillary services market. The objective is to forecast energy prices for lead times ranging from one hour to one day. Both black-box and grey-box multivariate models are adopted for the analysis of the conditional mean values of the price series. Real data regarding a geographical zone of the Italian electricity system are processed, showing that the adopted models allow for a significant reduction of the prediction error variance with respect to that of standard naive predictors.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127326695","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028822
S. Kippelt, T. Schluter, C. Rehtanz
Due to higher forecast errors, the increasing amount of renewable energy sources in the European power system causes changes in the demand for load-frequency control reserves (CR). Additionally, the increasing renewable generation replaces the operation of conventional power plants, which provide a major share of today's demand for CR. Thus, a higher demand for CR encounters a reduced provision. This study presents a method for analyzing this deviation between the conventional provision and the future demand for CR. This deviation can be understood as a future demand for prospective providers of CR, such as wind parks or battery storage systems. The presented method is further applied to a future scenario of the German power system. Subsequently, prospective providers are evaluated according to their technical suitability to guarantee a sufficient provision of CR. The results show a demand for new providers of CR until 2030, especially for primary and secondary control reserve.
{"title":"Future demand for prospective providers of control reserves","authors":"S. Kippelt, T. Schluter, C. Rehtanz","doi":"10.1109/ISGTEUROPE.2014.7028822","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028822","url":null,"abstract":"Due to higher forecast errors, the increasing amount of renewable energy sources in the European power system causes changes in the demand for load-frequency control reserves (CR). Additionally, the increasing renewable generation replaces the operation of conventional power plants, which provide a major share of today's demand for CR. Thus, a higher demand for CR encounters a reduced provision. This study presents a method for analyzing this deviation between the conventional provision and the future demand for CR. This deviation can be understood as a future demand for prospective providers of CR, such as wind parks or battery storage systems. The presented method is further applied to a future scenario of the German power system. Subsequently, prospective providers are evaluated according to their technical suitability to guarantee a sufficient provision of CR. The results show a demand for new providers of CR until 2030, especially for primary and secondary control reserve.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125484855","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028957
Danilo S. Gastaldello, A. N. de Souza, Haroldo L. M. do Amaral, P. Faria, Z. Vale
The increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.
{"title":"Study of load curves concerning the influence of socioeconomic and cultural issues","authors":"Danilo S. Gastaldello, A. N. de Souza, Haroldo L. M. do Amaral, P. Faria, Z. Vale","doi":"10.1109/ISGTEUROPE.2014.7028957","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028957","url":null,"abstract":"The increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899014","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028742
I. Saputra, J. S. Smith, Q. Wu
This paper proposes a new approach for detecting the time location of power disturbances by combining skeletonization and morphology edge detection. Signals with disturbances were filtered using morphology edge detection to find the time location of the disturbances; however the results were not very accurate. Adding skeletonization to the system after applying the morphology edge detection improved the accuracy in detecting the time location of the disturbances. A Matlab simulation has been undertaken and the results show that the proposed method has the capability to detect power quality issues more accurate than the morphology edge detection method for both noise-free signals and signals that contain noise. A reliability analysis has shown that the proposed method produces accurate results when detecting the changing of a block signal.
{"title":"Combination of morphology edge detection and skeletonization in detecting time location of power disturbances","authors":"I. Saputra, J. S. Smith, Q. Wu","doi":"10.1109/ISGTEUROPE.2014.7028742","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028742","url":null,"abstract":"This paper proposes a new approach for detecting the time location of power disturbances by combining skeletonization and morphology edge detection. Signals with disturbances were filtered using morphology edge detection to find the time location of the disturbances; however the results were not very accurate. Adding skeletonization to the system after applying the morphology edge detection improved the accuracy in detecting the time location of the disturbances. A Matlab simulation has been undertaken and the results show that the proposed method has the capability to detect power quality issues more accurate than the morphology edge detection method for both noise-free signals and signals that contain noise. A reliability analysis has shown that the proposed method produces accurate results when detecting the changing of a block signal.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154790","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028825
T. Haring, G. Andersson
The provision of ancillary services in case of realtime imbalances is an essential part of secure power system operation. Demand side participation via direct load control is a new flexible source for reliable provision of ancillary services and supports the large scale integration of fluctuating renewable energy in-feed. However, rewarding contracts have to be designed such that the consumers have financial incentives to provide these services. This paper proposes a contract design framework based on non-linear pricing, which means that capacity reservation and the deployment of reserve energy are rewarded separately. It is (a) individually rational which means that the consumer does not make a loss in providing flexibility, and (b) incentive compatible such that the consumer is not tempted to mispresent his costs of flexibility. A simulation study shows the impact of several design parameters of contracts such as duration, accuracy of estimated cost functions and a competitive framework.
{"title":"Contract design for demand response","authors":"T. Haring, G. Andersson","doi":"10.1109/ISGTEUROPE.2014.7028825","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028825","url":null,"abstract":"The provision of ancillary services in case of realtime imbalances is an essential part of secure power system operation. Demand side participation via direct load control is a new flexible source for reliable provision of ancillary services and supports the large scale integration of fluctuating renewable energy in-feed. However, rewarding contracts have to be designed such that the consumers have financial incentives to provide these services. This paper proposes a contract design framework based on non-linear pricing, which means that capacity reservation and the deployment of reserve energy are rewarded separately. It is (a) individually rational which means that the consumer does not make a loss in providing flexibility, and (b) incentive compatible such that the consumer is not tempted to mispresent his costs of flexibility. A simulation study shows the impact of several design parameters of contracts such as duration, accuracy of estimated cost functions and a competitive framework.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011369","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028734
Wagdy M. Khater, N. Elkalashy, T. Kawady, A. Taalab, M. Lehtonen
In this paper, an improved double-end fault locator is presented for transmission systems using unsynchronized measurements and disregarding the line parameters. The proposed algorithm is formalized using lumped parameter line model in order to facilitate computing the unsynchronized shifting angle between both line ends. The Least Square Error (LSE) is first used to solve the equivalent positive sequence network of the line using double end measurements to compute the synchronizing angle. Artificial Neural Network is then utilized to minimize the errors in angle extraction and accordingly the fault distance is estimated correctly. The ATP-EMTP program is used to perform the fault cases and therefore evaluating the locator performance. The test results provide evidences for the efficacy of the proposed fault locator using unsynchronized double end measurements without utilizing the line parameters for any fault type.
{"title":"Unsynchronized fault location independent on line parameters for transmission systems","authors":"Wagdy M. Khater, N. Elkalashy, T. Kawady, A. Taalab, M. Lehtonen","doi":"10.1109/ISGTEUROPE.2014.7028734","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028734","url":null,"abstract":"In this paper, an improved double-end fault locator is presented for transmission systems using unsynchronized measurements and disregarding the line parameters. The proposed algorithm is formalized using lumped parameter line model in order to facilitate computing the unsynchronized shifting angle between both line ends. The Least Square Error (LSE) is first used to solve the equivalent positive sequence network of the line using double end measurements to compute the synchronizing angle. Artificial Neural Network is then utilized to minimize the errors in angle extraction and accordingly the fault distance is estimated correctly. The ATP-EMTP program is used to perform the fault cases and therefore evaluating the locator performance. The test results provide evidences for the efficacy of the proposed fault locator using unsynchronized double end measurements without utilizing the line parameters for any fault type.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127103318","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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