{"title":"The impact of fully electric vehicles demand in the spot market","authors":"Irene Aguado Cortezón, Raul Soriano Borrull, Alfredo Quijano Lopez, V.F. Roig","doi":"10.1109/EEM.2014.6861249","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861249","url":null,"abstract":"One of the main barriers to the complete integration of the fully electric vehicle (FEV) in the energetic system is the expected impact on the electric infrastructure and particularly on the electric demand profile. In the scope Spanish electric system, the relationship between the fully electric vehicle total charging demand and the final price of electricity has been analyzed. To accomplish this objective, different scenarios have been defined attending to the level of use of FEV, the daily distribution of the vehicle charging processes and the season of the year. Feasible demand profiles have been created based on these scenarios, combining the described. From these demand profiles, the variation of the hourly price in the Spanish spot electricity market and the capability of the Spanish power system to manage the fully electric vehicle demand have been analyzed.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121138190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Demand response in electricity distribution grids: Regulatory framework and barriers","authors":"Philippe Van Dievel, R. Belmans, Kristof De Vos","doi":"10.1109/EEM.2014.6861286","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861286","url":null,"abstract":"Demand response for residential consumers is making a slow progression, despite its benefits towards various market participants, and the challenges faced by distribution grids concerning the integration of distributed and renewable energy sources, and new demand side applications. While some obstacles are techno-economic in nature, there also exist barriers related to regulation. The objective of this paper is to provide an overview of the current regulatory framework concerning demand response in distribution systems, as well as to identify the main regulatory barriers to implementation for residential consumers. It is found that in some areas, the current regulatory framework is inadequate or incomplete. An analysis of the relevant literature allows to classify these barriers into six categories.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143665","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":"International benchmarking of electricity transmission system operators","authors":"Per J. Agrell, P. Bogetoft","doi":"10.1109/EEM.2014.6861311","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861311","url":null,"abstract":"Electricity transmission system operators (TSO) in Europe are increasing subject to high-powered performance-based regulation, such as revenue-cap regimes. The determination of the parameters in such regimes is challenging for national regulatory authorities (NRA), since there is normally a single TSO operating in each jurisdiction. The solution for European regulators has been found in international regulatory benchmarking, organized in collaboration with the Council of European Energy Regulators (CEER) in 2008 and 2012 for 22 and 23 TSOs, respectively. The frontier study provides static cost efficiency estimates for each TSO, as well as dynamic results in terms of technological improvement rate and efficiency catch-up speed. In this paper, we provide the methodology for the benchmarking, using non-parametric DEA under weight restrictions, as well as an analysis of the static cost efficiency resutls for 2011. The overall cost efficiency is measured with a three-output model, explaining 91.2 % of variance, using a DEA model under non-decreasing returns to scale assumptions. The methodology is innovative in the sense that it combines endogenous outlier detection, technologically relevant output weight restrictions and a correction method for opening balances.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130943411","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}
Johannes Jargstorf, K. Kessels, C. De Jonghe, R. Belmans
{"title":"Economic signals in grid tariffs for residential grid users","authors":"Johannes Jargstorf, K. Kessels, C. De Jonghe, R. Belmans","doi":"10.1109/EEM.2014.6861221","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861221","url":null,"abstract":"The current changes in the distribution grid lead to discussions about usage of demand response (DR). DR could be controlled by signals in the grid tariffs. For the distribution system operator (DSO) two areas fall together: tariff setting and demand response. This paper categorizes proposals for grid tariff schemes and compares them based on the objectives of the DSO and constraints for tariff setting. As a result, one-off incentives combined with a handover of control currently seem best suited.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125895226","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 short-term load forecasting model for demand response applications","authors":"Jonathan A. Schachter, P. Mancarella","doi":"10.1109/EEM.2014.6861220","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861220","url":null,"abstract":"This paper discusses a new algorithm and defines the functionality required for developing a short-term load-forecasting module for demand response applications. Feedforward artificial neural network (ANN) algorithms are used to provide high forecasting performance when dealing with nonlinear and multivariate problems involving large datasets. The approach is thus suitable for short-term load prediction for disaggregated sites to optimize the demand response process when the data relating to the operating regime or load characteristics of the individual devices and loads connected are unavailable. A detailed description of the relevant external data needed for the forecast is explained. In particular, the algorithm considers weather data for the corresponding time period. The model is tested on data from actual ground source heat pump (GSHP) and heating, ventilation and air conditioning (HVAC) loads of various non-residential buildings at several real sites in the United Kingdom (U.K.). The sensitivity of the parameters of the algorithm, including the number of hidden layers used, is also researched. The proposed algorithm is tested against a linear regression and proves to outperform the latter in all cases. The performance of the algorithm is quantitatively assessed using mean absolute per cent error and mean absolute error metrics. Further analysis plots a comparison of actual and forecasted loads and R-values to determine forecast accuracy.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121899835","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}
Nakisa Farrokhseresht, Hector Chavez Orestica, M. Hesamzadeh
{"title":"Determination of acceptable inertia limit for ensuring adequacy under high levels of wind integration","authors":"Nakisa Farrokhseresht, Hector Chavez Orestica, M. Hesamzadeh","doi":"10.1109/EEM.2014.6861300","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861300","url":null,"abstract":"The significant penetration of wind generation in power grids has raised new challenges in operational and planning decisions of power systems. Wind turbine units almost always include power converters decoupling the frequency dynamics of the wind power generators from that of the grid. This decoupling causes a reduction in total system inertia, affecting the system's ability to overcome frequency disturbances [1]. To study the impact of wind power on system inertia, a system identification approach is followed. This heuristic identification method determines the parameters of governors and prime movers. The instantaneous minimum frequency requirements and the rate of change of frequency are simulated using the identified power system, and via an extrapolation, the maximum wind power penetration in Sweden is found. Finally, a need for market design is introduced in order to ensure adequacy.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122737525","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 integration and monitoring in Baltics","authors":"O. Ruksans, I. Oleinikova, G. Junghāns","doi":"10.1109/EEM.2014.6861304","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861304","url":null,"abstract":"The European Union regulations regarding wholesale energy market integrity require the transparency in the information regarding electricity market. It is required to apply the market monitoring tools that are commonly used in the European Union, such as RSI index and other market evaluation tools. The use of market monitoring tools became even more important after the North-Western Europe power markets were coupled and power market of 15 countries were connected each to other and synchronized. The focus of this paper is on the detection of market power in the Baltic States. This includes the detection of the potential for market power as well as the actual exercise of market power.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114342487","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}
J. Roldan-Fernandez, M. Burgos-Payán, Á. Trigo-García, Juan-Luis Diaz-Garcia, J. Riquelme-Santos
{"title":"Impact of renewable generation in the Spanish Electricity Market","authors":"J. Roldan-Fernandez, M. Burgos-Payán, Á. Trigo-García, Juan-Luis Diaz-Garcia, J. Riquelme-Santos","doi":"10.1109/EEM.2014.6861239","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861239","url":null,"abstract":"The influence of the integration of various amount of generation form renewable sources in the Spanish/Iberian Electricity Market is addressed in this work. To reach that goal the hourly information data published by the Spanish/Iberian Market Operator (OMEL/OMIE) for the five-year period 2008-2012 was used. A method similar to the procedure used by the Market Operator has been used to analyze the effect of the integration of generation based on renewable energy in the wholesale market. Previously, the effect of the complex bids on the cost of the traded energy is examined. For the considered period, the reduction of the cost of the traded energy in the market due the integration of renewable producers was 8% greater than the premium paid by the consumers, while the complex bids are responsible of almost a half of the actual cost of the traded energy.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134104859","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":"Cost-utility analysis to evaluate business cases for electric vehicle market integration","authors":"B. Illing, Oliver Warweg, Patrice Hartung","doi":"10.1109/EEM.2014.6861270","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861270","url":null,"abstract":"The nationwide launch of electric vehicles (EV) requires new approaches of market integration. The controlled charging of EV offers a possibility to trade at the energy market in particular at the reserve power market. New actors enter the energy market to perform the business case of trading secondary reserve power which leads to a change in the market role model. But not all actors benefit from this business in the same way. Some are more suited than others. This paper describes the adapted role model which includes all new EV-related market actors. Furthermore a new approach to evaluate the feasibility for different actors to perform the regarded business case is presented. The cost-utility-analysis calculates individual values for each actor by quantifying soft parameters and describes his capability. Using a case study this paper compares the capability of three different market actors - a car manufacturer, an energy supplier and a grid operator.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134526366","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":"Co-optimization of electricity day-ahead market and steady-state natural gas system using Augmented Lagrangian","authors":"P. Biskas, Nikolaos Kanelakis","doi":"10.1109/EEM.2014.6861223","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861223","url":null,"abstract":"A coupled optimization of the electricity and gas systems is presented in this paper. The electricity problem involves a unit commitment with co-optimization of energy and reserves under a power pool, considering all system operational and unit technical constraints. The gas problem involves a large-scale highly non-convex and non-linear problem structure, which is modeled as a Mixed Integer Non-Linear Programming model. The decomposition of the overall problem is based on the Augmented Lagrangian method. An iterative process is implemented, coordinating the two interdependent systems using an alternating minimization method, in which the Lagrange multipliers are updated using a subgradient method. The solution algorithm is evaluated using the Greek power and gas system, employing thirteen gas-fired units and fifty-three gas network nodes. The test results indicate the strong interdependence of the two systems, and demonstrate the efficiency of the presented algorithm in coordinating them.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133544383","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}