Pub Date : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850458
I. Kolosok, E. Korkina, A. Paltsev, R. Zaika
The accuracy of data used to construct calculation models of the network is an important factor that affects the reliability indices of electric power systems (EPS) at their operation. Along with random errors the measurements of EPS state variables contain quite often bad data. The paper addresses the algorithms of bad data detection by the test equation method at decomposition of a state estimation problem. The authors outline the concept of test equations. The decomposition algorithm includes structural and functional decomposition of the state estimation problem. The structural decomposition is carried out by dividing the calculated scheme into subsystems with respect to voltage levels. The functional decomposition is performed in accordance with the problems solved during the state estimation process: bad data detection, state estimation on the basis of the quadratic and robust criteria. The authors present the methods for detecting bad data a priori and solving the state estimation problem on the basis of robust criterion using test equations. Consideration is given to the applicability of genetic algorithms to these problems. The experimental studies have confirmed the efficiency of the suggested approaches.
{"title":"Genetic algorithms for bad data detection at decomposition of state estimation problem","authors":"I. Kolosok, E. Korkina, A. Paltsev, R. Zaika","doi":"10.1109/ENERGYCON.2014.6850458","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850458","url":null,"abstract":"The accuracy of data used to construct calculation models of the network is an important factor that affects the reliability indices of electric power systems (EPS) at their operation. Along with random errors the measurements of EPS state variables contain quite often bad data. The paper addresses the algorithms of bad data detection by the test equation method at decomposition of a state estimation problem. The authors outline the concept of test equations. The decomposition algorithm includes structural and functional decomposition of the state estimation problem. The structural decomposition is carried out by dividing the calculated scheme into subsystems with respect to voltage levels. The functional decomposition is performed in accordance with the problems solved during the state estimation process: bad data detection, state estimation on the basis of the quadratic and robust criteria. The authors present the methods for detecting bad data a priori and solving the state estimation problem on the basis of robust criterion using test equations. Consideration is given to the applicability of genetic algorithms to these problems. The experimental studies have confirmed the efficiency of the suggested approaches.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133974111","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850532
V. Klonari, F. Vallée, O. Durieux, Z. De Grève, J. Lobry
Dispersed photovoltaic generation integrated in the low voltage distribution grids leads their operation towards an active approach. In that context, new methodologies are needed in order to identify and to accurately quantify the impact of this massive renewable penetration on the grid operation. For this purpose, the authors of this study have developed in a previous analysis a probabilistic load flow tool directly based on the use of smart meters data. The goal of this tool was to quantify probabilities of overvoltage in radial low voltage grids with increased photovoltaic penetrations. However, the drawback of this approach was the too long (15 minutes) sampling time step of smart meters that did not allow the consideration of fast fluctuations of photovoltaic generation. In the present paper, an original adaptation of the existing tool is therefore presented, which enables the consideration of short temporary photovoltaic power fluctuations. Thanks to this new development, it is shown that a more accurate estimation of overvoltage situations, due to photovoltaic generation, is permitted.
{"title":"Probabilistic modeling of short term fluctuations of photovoltaic power injection for the evaluation of overvoltage risk in low voltage grids","authors":"V. Klonari, F. Vallée, O. Durieux, Z. De Grève, J. Lobry","doi":"10.1109/ENERGYCON.2014.6850532","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850532","url":null,"abstract":"Dispersed photovoltaic generation integrated in the low voltage distribution grids leads their operation towards an active approach. In that context, new methodologies are needed in order to identify and to accurately quantify the impact of this massive renewable penetration on the grid operation. For this purpose, the authors of this study have developed in a previous analysis a probabilistic load flow tool directly based on the use of smart meters data. The goal of this tool was to quantify probabilities of overvoltage in radial low voltage grids with increased photovoltaic penetrations. However, the drawback of this approach was the too long (15 minutes) sampling time step of smart meters that did not allow the consideration of fast fluctuations of photovoltaic generation. In the present paper, an original adaptation of the existing tool is therefore presented, which enables the consideration of short temporary photovoltaic power fluctuations. Thanks to this new development, it is shown that a more accurate estimation of overvoltage situations, due to photovoltaic generation, is permitted.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132929531","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850513
S. Kanna, S. Talebi, D. Mandic
Motivated by the need for decentralized estimation in the electricity grid, we apply the diffusion augmented complex least mean square (D-ACLMS) algorithm to estimate the frequency of a three-phase power system under balanced and unbalanced voltage conditions in a distributed setting. In addition to using local measurements, the diffusion adaptation strategy allows nodes to share their frequency estimates with neighbouring nodes which enables the network to exploit multiple measurements of the voltage signal. The analysis provides convergence conditions of the D-ACLMS and also gives the bounds on parameter values which guarantee that the diffusion type of adaptation stabilizes the network. Simulations under both balanced and unbalanced conditions support the analysis.
{"title":"Diffusion widely linear adaptive estimation of system frequency in distributed power grids","authors":"S. Kanna, S. Talebi, D. Mandic","doi":"10.1109/ENERGYCON.2014.6850513","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850513","url":null,"abstract":"Motivated by the need for decentralized estimation in the electricity grid, we apply the diffusion augmented complex least mean square (D-ACLMS) algorithm to estimate the frequency of a three-phase power system under balanced and unbalanced voltage conditions in a distributed setting. In addition to using local measurements, the diffusion adaptation strategy allows nodes to share their frequency estimates with neighbouring nodes which enables the network to exploit multiple measurements of the voltage signal. The analysis provides convergence conditions of the D-ACLMS and also gives the bounds on parameter values which guarantee that the diffusion type of adaptation stabilizes the network. Simulations under both balanced and unbalanced conditions support the analysis.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134260617","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850475
A. Tiguercha, A. A. Ladjici, M. Boudour
the main purpose of the paper is to calculate supplier's optimal biding in a deregulated electricity market, by calculating the Nash equilibrium strategies. In this paper we present the use of competitive coevolutionary algorithm in order to find the optimal biding strategies. A computational Algorithm has been developed to find Nash equilibrium strategies where a stochastic programming model is proposed to maximize the expected profits taking into account the stochastic aspect of spot market parameters. The key feature of our approach is the combination of a powerful learning algorithm to find the optimal strategies, and a scenario formulation to model the market uncertainties through. Each market agents is modeled as an adaptive evolutionary agent learning from market interactions and take part in the forward and spot transactions to act strategically to maximize their profits.
{"title":"Competitive co-evolutionary approach to stochastic modeling in deregulated electricity market","authors":"A. Tiguercha, A. A. Ladjici, M. Boudour","doi":"10.1109/ENERGYCON.2014.6850475","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850475","url":null,"abstract":"the main purpose of the paper is to calculate supplier's optimal biding in a deregulated electricity market, by calculating the Nash equilibrium strategies. In this paper we present the use of competitive coevolutionary algorithm in order to find the optimal biding strategies. A computational Algorithm has been developed to find Nash equilibrium strategies where a stochastic programming model is proposed to maximize the expected profits taking into account the stochastic aspect of spot market parameters. The key feature of our approach is the combination of a powerful learning algorithm to find the optimal strategies, and a scenario formulation to model the market uncertainties through. Each market agents is modeled as an adaptive evolutionary agent learning from market interactions and take part in the forward and spot transactions to act strategically to maximize their profits.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129360256","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850546
D. Geysen, P. Booij, C. Warmer
For the built environment it is envisaged that in the next decades the total annual energy demand, both thermal and electric, could be covered by renewable sources generated within the built environment. An increasing number of thermoelectric elements, such as heat pumps and thermal storage, will enable conversion from heat to electricity and vice versa. Control in this environment therefore requires an integral management of both the heat network and the electricity network. In this paper we present a simulation framework which is able to simulate and coordinate multi-commodity flows on a district level using a wide variety of appliance models, taking into account different types of business objectives (e.g. time of use tariffs, peak shaving, etc.). To manage these flows a market-based multi-commodity algorithm, for integrated coordination of electricity and heat flows, was developed and integrated in the simulation framework. The algorithm is an enhancement of the PowerMatcher concept and thus inherits its advantages such as scalability and user autonomy. An example is given to demonstrate the use of both the simulation framework and integrated control algorithm.
{"title":"A framework for simulation and control of hybrid energy networks","authors":"D. Geysen, P. Booij, C. Warmer","doi":"10.1109/ENERGYCON.2014.6850546","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850546","url":null,"abstract":"For the built environment it is envisaged that in the next decades the total annual energy demand, both thermal and electric, could be covered by renewable sources generated within the built environment. An increasing number of thermoelectric elements, such as heat pumps and thermal storage, will enable conversion from heat to electricity and vice versa. Control in this environment therefore requires an integral management of both the heat network and the electricity network. In this paper we present a simulation framework which is able to simulate and coordinate multi-commodity flows on a district level using a wide variety of appliance models, taking into account different types of business objectives (e.g. time of use tariffs, peak shaving, etc.). To manage these flows a market-based multi-commodity algorithm, for integrated coordination of electricity and heat flows, was developed and integrated in the simulation framework. The algorithm is an enhancement of the PowerMatcher concept and thus inherits its advantages such as scalability and user autonomy. An example is given to demonstrate the use of both the simulation framework and integrated control algorithm.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123611517","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850426
Y. Guan, J. Vasquez, J. Guerrero
This paper proposed a novel control strategy based on a virtual resistance and a phase locked loop for parallel three-phase inverters. The proposed controller can overcome the drawbacks of the conventional droop control such as slow transient response, complex design, and limited stability margins. The load sharing capability can be also obtained under asymmetrical output impedances in which the conventional droop controller was not properly working. The proposed approach has been verified by means of simulations and experimental results in a laboratory-scale prototype.
{"title":"A simple autonomous current-sharing control strategy for fast dynamic response of parallel inverters in islanded microgrids","authors":"Y. Guan, J. Vasquez, J. Guerrero","doi":"10.1109/ENERGYCON.2014.6850426","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850426","url":null,"abstract":"This paper proposed a novel control strategy based on a virtual resistance and a phase locked loop for parallel three-phase inverters. The proposed controller can overcome the drawbacks of the conventional droop control such as slow transient response, complex design, and limited stability margins. The load sharing capability can be also obtained under asymmetrical output impedances in which the conventional droop controller was not properly working. The proposed approach has been verified by means of simulations and experimental results in a laboratory-scale prototype.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121773224","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850431
B. Amghar, M. Darcherif, J. Barbot, D. Boukhetala
Most industrial processes that use electricity as a source of voltage or current, require power circuit for the control of its physical quantities. Power converters are a multi-site privileged in the control of high power systems. In this article we show that the series resonant DC/DC converter, which is a hybrid system. The SRC achieves an output DC voltage equal to n times the input voltage of the converter, the major disadvantage of this type of converter is the the stresses on the power components and Capacitor Charge Time. Furthermore, a control strategy for minimizing the no-load conduction losses is proposed and the transient behavior in case of load steps including output short-circuit is discussed based on digital simulations.
{"title":"Modeling and control of series resonant converter for high voltage applications","authors":"B. Amghar, M. Darcherif, J. Barbot, D. Boukhetala","doi":"10.1109/ENERGYCON.2014.6850431","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850431","url":null,"abstract":"Most industrial processes that use electricity as a source of voltage or current, require power circuit for the control of its physical quantities. Power converters are a multi-site privileged in the control of high power systems. In this article we show that the series resonant DC/DC converter, which is a hybrid system. The SRC achieves an output DC voltage equal to n times the input voltage of the converter, the major disadvantage of this type of converter is the the stresses on the power components and Capacitor Charge Time. Furthermore, a control strategy for minimizing the no-load conduction losses is proposed and the transient behavior in case of load steps including output short-circuit is discussed based on digital simulations.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122246391","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850629
Anne-Katrin Marten, D. Westermann
The coordination of HVDC converters owned by different TSOs will raise the major question about operational responsibility of HVDC systems. The more complex HVDC system structures become and the more TSOs are involved in a single HVDC system the more important this question will become. This applies for meshed HVDC grids or even multi-terminal HVDC systems owned by more than two TSOs. This paper proposes a transformation process for HVDC system operation starting with point-to-point HVDC links owned by two different TSOs up to multi-TSO operated HVDC grids. This transformation process can be seen as a starting point of a development to establish a single HVDC grid controller capable of operating at a global optimum. This concept paper also discusses analogies between AC and DC systems regarding stability and security categories.
{"title":"Local HVDC grid operation with multiple TSO coordination at a global optimum","authors":"Anne-Katrin Marten, D. Westermann","doi":"10.1109/ENERGYCON.2014.6850629","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850629","url":null,"abstract":"The coordination of HVDC converters owned by different TSOs will raise the major question about operational responsibility of HVDC systems. The more complex HVDC system structures become and the more TSOs are involved in a single HVDC system the more important this question will become. This applies for meshed HVDC grids or even multi-terminal HVDC systems owned by more than two TSOs. This paper proposes a transformation process for HVDC system operation starting with point-to-point HVDC links owned by two different TSOs up to multi-TSO operated HVDC grids. This transformation process can be seen as a starting point of a development to establish a single HVDC grid controller capable of operating at a global optimum. This concept paper also discusses analogies between AC and DC systems regarding stability and security categories.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130156015","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850490
K. Máslo, J. Eickmann
Paper proposes new topological object Bay. This object is an extension of the common bus oriented model and it enables to carry out an advanced network manipulation. The new solution may be used in applications and tools, where the computation speed is critical, like in a security-constrained optimal power flow or dispatcher training simulators.
{"title":"Simplification of breaker oriented network model into extended bus oriented model","authors":"K. Máslo, J. Eickmann","doi":"10.1109/ENERGYCON.2014.6850490","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850490","url":null,"abstract":"Paper proposes new topological object Bay. This object is an extension of the common bus oriented model and it enables to carry out an advanced network manipulation. The new solution may be used in applications and tools, where the computation speed is critical, like in a security-constrained optimal power flow or dispatcher training simulators.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127649213","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850445
P. Stefanov, A. Savic, Goran Dobrić
Systematic consideration of various scenarios of operational planning, development and power system control is becoming a necessity and the only way to involve and compare different technologies that are now present in power engineering. Comparison of all the relevant characteristics of the considered technology is of great significance for power system designers or operators. However, the differences between characteristics and dimensions of variables in optimization procedure models lead to the fact that classical algorithms become computationally inefficient and more difficult to implement. In this paper a procedure that is based on a heuristic optimization method and Pareto optimality is proposed. The procedure enables comparison of all considered scenarios in the entire space of control variables, while their parallel processing ensures timely elimination of scenarios that do not provide a better solution for any criteria than the other scenarios. The proposed procedure is illustrated on the example of selecting type, size and location of FACTS devices in the IEEE 57 bus test system. The optimization results, with different number of objective functions, illustrate the effectiveness of the procedure and point out the possibility of application in solving optimization problems of realistic power systems.
{"title":"Power system optimization using parallel scenario algorithm","authors":"P. Stefanov, A. Savic, Goran Dobrić","doi":"10.1109/ENERGYCON.2014.6850445","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850445","url":null,"abstract":"Systematic consideration of various scenarios of operational planning, development and power system control is becoming a necessity and the only way to involve and compare different technologies that are now present in power engineering. Comparison of all the relevant characteristics of the considered technology is of great significance for power system designers or operators. However, the differences between characteristics and dimensions of variables in optimization procedure models lead to the fact that classical algorithms become computationally inefficient and more difficult to implement. In this paper a procedure that is based on a heuristic optimization method and Pareto optimality is proposed. The procedure enables comparison of all considered scenarios in the entire space of control variables, while their parallel processing ensures timely elimination of scenarios that do not provide a better solution for any criteria than the other scenarios. The proposed procedure is illustrated on the example of selecting type, size and location of FACTS devices in the IEEE 57 bus test system. The optimization results, with different number of objective functions, illustrate the effectiveness of the procedure and point out the possibility of application in solving optimization problems of realistic power systems.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127666700","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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