2012 9th International Conference on the European Energy Market最新文献

{"title":"Is the electric vehicle a solution for the wind power integration in the Portuguese power system?","authors":"E. Carvalho, J. D. de Sousa, M. Neves, S. Faias","doi":"10.1109/EEM.2012.6254671","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254671","url":null,"abstract":"The integration of Plug-in electric vehicles in the transportation sector has a great potential to reduce oil dependency, the GHG emissions and to contribute for the integration of renewable sources into the electricity generation mix. Portugal has a high share of wind energy, and curtailment may occur, especially during the off-peak hours with high levels of hydro generation. In this context, the electric vehicles, seen as a distributed storage system, can help to reduce the potential wind curtailments and, therefore, increase the integration of wind power into the power system. In order to assess the energy and environmental benefits of this integration, a methodology based on a unit commitment and economic dispatch is adapted and implemented. From this methodology, the thermal generation costs, the CO2 emissions and the potential wind generation curtailment are computed. Simulation results show that a 10% penetration of electric vehicles in the Portuguese fleet would increase electrical load by 3% and reduce wind curtailment by only 26%. This results from the fact that the additional generation required to supply the electric vehicles is mostly thermal. The computed CO2 emissions of the EV are 92 g CO2/kWh which become closer to those of some new ICE engines.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131257604","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":"European regulating power market operation: Reserve requirement levels for wind power production","authors":"S. Jaehnert, G. Doorman","doi":"10.1109/EEM.2012.6254723","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254723","url":null,"abstract":"Large-scale integration of renewable energy sources in today's European hydro-thermal dominated power system will challenge its future operation. In Northern Europe wind power production is expected to contribute the main share to renewable energy sources. Wind forecasting and its inherent forecast error lead to increasing system imbalances. This will require higher production flexibility and more regulating reserves in the system, to ensure its secure and efficient operation. A model of the Northern European power market, including a 2010 and a 2020 scenario, is used to assess the impact of the wind forecast error and the level of reserves, which are required in the system. The analyses show an enormous increase of system imbalances up to 2020 and thus socio-economic costs, which occur in the regulating power market. Rather low requirement level turn out to be most cost effective. However, in 2010 as well as 2020 highest savings can be achieved by the integration of national regulating power markets, concurrently leading to an increased system security.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129528246","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 fractional cointegration analysis of European electricity spot prices","authors":"M. Houllier, L. M. de Menezes","doi":"10.1109/EEM.2012.6401933","DOIUrl":"https://doi.org/10.1109/EEM.2012.6401933","url":null,"abstract":"Previous studies that tested for integration of European electricity spot markets employed standard unit root tests. This study extends the existing literature about electricity market integration by adopting a fractional cointegration analysis and providing empirical evidence that the classical unit root test framework, which tests for common stationary trends, may be inadequate because of long range dependencies in electricity spot prices. Hourly data from APX-ENDEX (UK and Netherlands), EPEX (Germany, Switzerland), Nordpool (Finland, Denmark, Norway) and Powernext (France) are employed between January 2009 and April 2011. Results based on parametric fractional ARIMA models suggest that long memory and cointegration in some but not all markets exists. Germany and the Netherlands seem to share the strongest cointegrating relationship. France and Germany as well as France and the Netherlands also share a common stationary trend. Hence, price shocks can be lasting and the EU policy goal of market integration is yet to be achieved.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133067895","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":"Simulation of disaggregated load profiles and construction of a proxy-microgrid for modeling purposes","authors":"M. Zeyringer, D. Andrews, E. Schmid, J. Schmidt, E. Worrell","doi":"10.1109/EEM.2012.6254816","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254816","url":null,"abstract":"Expanding the deployment of small scale renewable energy technologies such as photovoltaic has implications on how much of consumers' load has to be supplied by the electricity grid. The actual impact depends on the local resource potential as well as on the specific regional composition of consumers. It is therefore important to take into consideration geospatial aspects when modeling energy systems. However, both spatially explicit renewable energy supply data as well as spatially disaggregated load profiles are often unavailable. Hence, we propose a methodology which combines statistical data on the distribution of electricity consumers with standardized load profiles. We estimate the demand load profiles for the distribution grid on a grid cell level of one square kilometer. Due to lack of data on the actual distribution grid, we generate proxy-microgrids representing the distribution grid by using a heuristic which matches the known number of distribution grid transformers to grid cells. We apply the methodology to the Austrian region of Vorarlberg. It will enable researchers to use the results generated as an input into energy system models studying the integration of renewable energy technologies. In order to validate the methodology we estimate the load profiles for whole Austria and compare it to real data. The modeling approach can reproduce historically measured load profiles and the number of transformers in the distribution grid.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"499 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080053","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 wind plant ancillary voltage control on system small signal stability","authors":"C. Su, Z. Chen","doi":"10.1109/EEM.2012.6254789","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254789","url":null,"abstract":"As a common tendency, large-scale wind farms are increasingly connected to the transmission system of modern power grids. This introduces some new challenges to the connected power systems, and the transmission system operators (TSOs) have to put some new requirements as part of the grid codes on the integration of wind farms. One common requirement to wind farms is the function of system voltage control which can be implemented in the grid-side convertor controller of a variable speed wind turbine. This ancillary voltage control provided by wind farms could have some influence on the system small signal stability. This paper implements an ancillary voltage control strategy on a direct-drive-full-convertor-based wind farm and studies its influence on the damping ratio values of the dominant oscillation mode within the connected power system. All the calculations and simulations are conducted in DIgSILENT PowerFactory 14.0.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350290","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":"Electricity market model with starting-up, shutting-down and commitment variables","authors":"A. Delgadillo, J. Reneses, J. Barquín","doi":"10.1109/EEM.2012.6254681","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254681","url":null,"abstract":"This paper presents a perfect competition model of an electricity market that takes into account the starting-up, shutting-down and commitment variables. These variable are modeled through binary variables. The use of binary decision variables makes the cost functions discontinuous and dual variables questionable as equilibrium prices. If the market prices were set to the value of the dual variables, some units could have operational losses; and these units would rather not to enter in the market. In order to solve this problem, this paper proposes a methodology that find the market solution using a cost minimization problem. The cost-minimization problem is first solved taking into account the integratility of the binary variables, and then it is solved relaxing the binary variables. A third optimization problem is used to eliminate the differences between both solutions. This methodology can be seen as a stylized representation of sequential markets. Finally, the proposed methodology is validated through a numerical example.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115443578","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":"Helping to find the ”missing money”: Semi-lagrangean approach applied to electricity markets with payments for engaged capacity","authors":"V. Araoz, K. Jørnsten","doi":"10.1109/EEM.2012.6254654","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254654","url":null,"abstract":"One peculiarity of the wholesale electricity market that seems persistent across some market designs is the ”missing money” problem. This problem appears when generators do not recover their costs given the market price of electricity. The ”missing money” problem may be in part due to the pricing and payment mechanisms set in place. Competitive forces should set the price of a commodity to the marginal cost of the marginal unit producing the good if the functions are convex. However, electricity markets are characterised for having non-convex function due to the generators' minimum and maximum outputs constraints, start up and shut down costs, amongst other characteristics. Therefore, uniform marginal price schemes will not always create market-clearing price. Under this scheme, not all the generators will cover the costs incurred in production. Different recovery mechanisms have been proposes, but the case of the ”missing money” is still a challenge these days, especially in pool-based markets. A possible solution is to price for capacity as well as for the electricity. Capacity markets have developed, and they still are in progress. And although some authors are not supporters of capacity payments and capacity markets, some others have shown the need for capacity payments and suggested a design for its market. This paper contributes to the growing literature in capacity pricing by suggesting a new approach to obtain electricity prices and capacity prices for the plants engaged into production. This approach applies the semi-Lagrangean methodology to an expanded Unit Commitment and Dispatch Problem. The expanded problem includes an extra constraint that sets the total capacity engaged to its optimal value. The new semi-Lagrangean problem is solved by using a subgradient approach. We obtain a set of prices for electricity and capacity that are high enough to cover the generators' costs, as well as sending the right signals to the market, and producing efficiently at a minimum costs. We believe that the excess revenue obtained with this approach can be used as a guide to future investment, and as a consequence, can help to find the ”missing money”.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123960596","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":"Transmission network expansion planning in the competitive environment, A reliability based approach","authors":"S. Hosseini","doi":"10.1109/EEM.2012.6254719","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254719","url":null,"abstract":"Transmission network plays a pivotal role in the liberalised power markets. In fact, the necessary fair environment due to competition for the participants in the power market would be provided only by a suitable and well-designed transmission network. In this context, transmission network expansion planning studies play an important role to optimally address this issue. Although extensive studies have been done in this area, each has its relative strengths and weaknesses depending on the scope of the study reflected on the objective function of the planning problem. The objective function of the transmission network expansion planning proposed in this study is to minimize the expected value of interruption cost in the network for different consumer segments, while satisfying the security constraints of the system, i.e. - transmission lines capacity, generation capacity, and upper and lower bounds of bus voltages. The solution is to improve the transmission network reliability taking into account the rate of uncovered consumer segments due to the lack of transmission capacity and finding the optimum alternatives of the transmission network expansion. The proposed methodology includes two steps as; Finding the existing candidates for transmission network expansion contributing to improve the transmission network reliability and Analysing the selected candidates for optimality according to the proposed objective function. The IEEE Reliability Test System (IEEE RTS) considered as a case study. Results show that the industrial customers, which have higher interruption costs in comparison to the household loads, require higher reliability levels and more redundancy.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124433433","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":"e-Harbours: Identification and analysis of barriers for Virtual Power Plants in harbour regions","authors":"A. Delnooz, D. Six, K. Kessels, M. Hommelberg","doi":"10.1109/EEM.2012.6254682","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254682","url":null,"abstract":"The e-harbours project aims at transforming the energy provision in North Sea Region harbour cities to a more sustainable and accessible energy model. This will be realized by determining new standards with a focus on 3 key aspects: Virtual Power Plants, electric mobility and renewable energy. Via the exchange of technical expertise and energy market knowledge, different barriers for this transformation have been identified within the e-harbours project. These barriers will be addressed in this paper.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115845520","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":"Price forecasting in the day-ahead Iberian electricity market using a conjectural variations ARIMA model","authors":"J. Lagarto, J. D. de Sousa, A. Martins, P. Ferrão","doi":"10.1109/EEM.2012.6254734","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254734","url":null,"abstract":"Price forecast is a matter of concern for all participants in electricity markets, from suppliers to consumers through policy makers, which are interested in the accurate forecast of day-ahead electricity prices either for better decisions making or for an improved evaluation of the effectiveness of market rules and structure. This paper describes a methodology to forecast market prices in an electricity market using an ARIMA model applied to the conjectural variations of the firms acting in an electricity market. This methodology is applied to the Iberian electricity market to forecast market prices in the 24 hours of a working day. The methodology was then compared with two other methodologies, one called naïve and the other a direct forecast of market prices using also an ARIMA model. Results show that the conjectural variations price forecast performs better than the naïve and that it performs slightly better than the direct price forecast.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116080168","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}