2011 8th International Conference on the European Energy Market (EEM)最新文献

{"title":"Gas network topology optimization for upcoming market requirements","authors":"Armin Fugenschuh, Benjamin Hiller, Jesco Humpola, T. Koch, Thomas Lehmann, R. Schwarz, J. Schweiger, J. Szabó","doi":"10.1109/EEM.2011.5953035","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953035","url":null,"abstract":"Gas distribution networks are complex structures that consist of passive pipes, and active, controllable elements such as valves and compressors. Controlling such network means to find a suitable setting for all active components such that a nominated amount of gas can be transmitted from entries to exits through the network, without violating physical or operational constraints. The control of a large-scale gas network is a challenging task from a practical point of view. In most companies the actual controlling process is supported by means of computer software that is able to simulate the flow of the gas. However, the active settings have to be set manually within such simulation software. The solution quality thus depends on the experience of a human planner. When the gas network is insufficient for the transport then topology extensions come into play. Here a set of new pipes or active elements is determined such that the extended network admits a feasible control again. The question again is how to select these extensions and where to place them such that the total extension costs are minimal. Industrial practice is again to use the same simulation software, determine extensions by experience, add them to the virtual network, and then try to find a feasible control of the active elements. The validity of this approach now depends even more on the human planner. Another weakness of this manual simulation-based approach is that it cannot establish infeasibility of a certain gas nomination, unless all settings of the active elements are tried. Moreover, it is impossible to find a cost-optimal network extension in this way. In order to overcome these shortcomings of the manual planning approach we present a new approach, rigorously based on mathematical optimization. Hereto we describe a model for finding feasible controls and then extend this model such that topology extensions can additionally and simultaneously be covered. Numerical results for real-world instances are presented and discussed.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132715558","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 profit maximization model for a power producer in a pool-based energy market with cost recovery mechanism","authors":"C. Baslis, P. Biskas, A. Bakirtzis","doi":"10.1109/EEM.2011.5953026","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953026","url":null,"abstract":"The objective of this paper is to address the self-scheduling of a power producer in a pool-based energy market where a cost recovery mechanism is applicable. Under the cost recovery framework, generating units are guaranteed to receive payment at least equal to their actual operating cost, if committed. In the proposed model, the effect of cost recovery on the plant's revenues is included in the objective of the profit maximization problem of the producer, who is assumed to be a price-taker. The proposed method is developed as a mixed-integer linear program using GAMS/CPLEX and tested for the simple case of a small thermal producer owning a single unit, under the general cost recovery provisions of the Greek electricity market. The model constitutes the first step towards a stochastic programming approach for a price-maker producer.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472710","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":"Optimization of voltage regulators settings and transformer tap zones in distribution systems with great load variation using distribution automation and the smart grids initiatives","authors":"P. Pereira, L. Canha, R. Milbradt, A. Abaide, S. Schmaedecke, G. Arend, E. Madruga","doi":"10.1109/EEM.2011.5953038","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953038","url":null,"abstract":"The efficiency, useful life and proper functioning of electrical devices directly depend on the quality of energy supplied. Moreover, the supply of energy within the adequate limits is necessary for the economic and social development in the regions served. Given these factors, in order to improve quality, ensure adequate voltage levels over the distribution networks, distribution companies invest in system improvements, voltage regulators, exchange of conductors and construction of new feeders and substations. In this paper the authors intend to present a methodology that uses the potential of the smart grids applied to the increase of the efficiency of the voltage control in the distribution systems. It is intended to reach a better quality of the rendered services and consequently the customers' larger satisfaction.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133499577","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":"The impact of wind power on day-ahead electricity prices in the Netherlands","authors":"F. Nieuwenhout, A. Brand","doi":"10.1109/EEM.2011.5953013","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953013","url":null,"abstract":"A detailed analysis was conducted to assess to what extent availability of wind energy has influenced day-ahead electricity prices in the Netherlands over the past four years. With a meteorological model, time series of day-ahead wind forecasts were generated for the period 2006–2009, and these were compared with APX-ENDEX day-ahead market prices. Wind energy contributes to only 4% of electricity generation in the Netherlands, but was found to depress average day-ahead market prices by about 5%. With the help of the bid curves on the APX-ENDEX day-ahead market for 2009, a model was made to assess the impact of increasing levels of wind generation on power prices in the Netherlands. One of the main findings is that the future impact on prices will be less than in the past. With an increase of installed wind capacity from 2200 MW to 6000 MW, average day-ahead prices are expected to be depressed by an additional 6% in case no additional conventional generation is assumed. Taking into account existing government policy on wind and ongoing work on new conventional power plants, prices in 2016 will be only 3% lower due to wind.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131777683","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":"Operational properties of a photovoltaic system with three single phase inverter","authors":"Ivan Cvrk, T. Dragičević","doi":"10.1109/EEM.2011.5952979","DOIUrl":"https://doi.org/10.1109/EEM.2011.5952979","url":null,"abstract":"In recent years, there is an increasing number of photovoltaic systems connected to distribution networks, all over the world. It is to expect further increase in the future. This work focuses on analysis of a photovoltaic system with three single-phase inverters connected to the electric grid. The work also presents Photovoltaic laboratory system in KONČAR-Electrical Engineering Institute, whose purpose is to compare the differences in energy production of three PV strings with and without tracking system. Financial analysis projects the return on investment, and cumulative gain for each of the strings separately. In addition to the economic viability the building of photovoltaic system has its value in terms of security of electricity production and the immeasurable value in preserving nature. Photovoltaic systems often use single-phase inverters. The disadvantage of such systems is an asymmetrical unbalanced delivery of electricity to the distribution network. This means that the currents in individual lines are unbalanced which leads to the unbalanced three-phase power generation.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131785568","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":"Fundamental conjectured supply function equilibrium: Application to the iberian system","authors":"C. Díaz, F. A. Campos, J. Villar, M. Rodríguez","doi":"10.1109/EEM.2011.5953015","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953015","url":null,"abstract":"This paper presents a new two-step algorithm to compute a conjectured supply function electricity market equilibrium with DC transmission network constraints. This approach generalizes a previous authors' model developed for the single-bus case. Unlike other approaches, its main contribution is that the parameters of the first order approximation of the conjectured supply functions (intercept and slope) are endogenously determined, coherently with the network lines status. Nodal prices are used to split the market into single prices areas. Each area is treated as a single-bus market from the transmission constraints point of view, and the authors' single-bus algorithm is applied to compute the generators supply functions for each area. These new generators strategies are then cleared to determine new nodal prices and areas for the next iteration. Convergence is achieved when the network lines status and strategies of the generators do not change significantly in two consecutive iterations. The algorithm has been tested with some illustrative case examples, and with a simplified version of the MIBEL market (Spain-Portugal).","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134195558","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":"Complex market integration in MASCEM electricity market simulator","authors":"Gabriel Santos, T. Pinto, H. Morais, Isabel Praça, Z. Vale","doi":"10.1109/EEM.2011.5953019","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953019","url":null,"abstract":"The restructuring that the energy sector has suffered in industrialized countries originated a greater complexity in market players' interactions, and thus new problems and issues to be addressed. Decision support tools that facilitate the study and understanding of these markets become extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent system for simulating competitive electricity markets. To provide MASCEM with the capacity to recreate the electricity markets reality in the fullest possible extent, it is essential to make it able to simulate as many market models and player types as possible. This paper presents the development of the Complex Market in MASCEM. This module is fundamental to study competitive electricity markets, as it exhibits different characteristics from the already implemented market types.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114384827","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":"Low voltage ride through analysis of FSIG based WECS with STATCOM","authors":"K. Appadoo, S. Chowdhury, S. Chowdhury","doi":"10.1109/EEM.2011.5953112","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953112","url":null,"abstract":"Among the renewable energy technologies being vigorously developed, Wind turbine technology has been undergoing a dramatic development and now is the world's fastest growing energy. The continuous increase in wind power penetration level is likely to influence the operation of existing utility networks, especially the power system stability. Because of clean and economical characteristics, Wind energy is considered as one of the prospective energy sources of the future world. The present target is to achieve 12% generation of the world's electricity fro, wind power by 2020. The new European Wind Energy Association scenario shows that by 2030, wind power could be satisfying 22% of Europe's total electricity supply. From these predictions, it can be easily comprehended that a huge number of wind farms will be connected to the power system in the near future. Therefore it is essential to analyse the characteristics of wind generators during the network disturbances.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117078506","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":"Representation of electricity generation capacity expansion by means of game theory models","authors":"E. Centeno, J. Reneses, S. Wogrin, J. Barquín","doi":"10.1109/EEM.2011.5953027","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953027","url":null,"abstract":"Electricity generation capacity expansion is still a complex and elusive problem. Nevertheless, the importance for generation companies and regulators of analyzing the decision of building new power plants, due to its economic impact, has led to a large number of studies that address this problem using different techniques. One of the most promising alternatives is the use of game theory. This paper presents two game theory models that can be used in this context and compares them. The first model is an extension of a conjectured-price-response market equilibrium model that includes expansion decisions. In this case, each agent optimizes in a single-shot game the overall profit including investment and operation. The second model considers expansion and operation decisions separately to increase model realism. In this model expansion level considers overall profit, but market is considered as a constraint for the upper level game, in a bilevel game schema. Some bilevel games can be reduced to a one-stage conjectured-price-response game. Thus, the objective of the paper is to assess if the one shot game, that is much easier to solve can be considered as a good approximation for the bilevel game formulation, without explicitly solving the bilevel game.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121781308","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":"Influence of variable supply and load flexibility on Demand-Side Management","authors":"H. Hildmann, F. Saffre","doi":"10.1109/EEM.2011.5952980","DOIUrl":"https://doi.org/10.1109/EEM.2011.5952980","url":null,"abstract":"Demand-Side Management (DSM) refers to the shaping of the electrical load to improve the fit with the supply side [1]. One way to achieve this is to confront the user with a dynamic financial incentive to influence the demand. In previous work (see [2]) a crude reactive pricing algorithm has been shown to shave the peak of the aggregated load by over 25%. In this paper this approach is extended and evaluated in more detail. The algorithm is extended to cover scenarios where the supply is no longer fixed; its performance is investigated under varying conditions such as the percentage of the flexible load as well as the extent of the load's flexibility. The expected benefit of applying the algorithm to real world scenarios is predicted, allowing for an informed decision on whether or not to employ it in specific situations and under which pricing conditions.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125594284","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}