{"title":"LMP dependence function of variable parameters of electric power network","authors":"T. Vaskovskaya","doi":"10.1109/EEM.2014.6861231","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861231","url":null,"abstract":"Various FACTS devices in equivalent circuits of electric power network elements may be represented by series or parallel controlled reactances. The solution for competitive electricity market optimization depends on parameters of electric power network, and control of such parameters provides an opportunity to control prices for electricity. This research offers a function of locational marginal prices (LMP) dependence on power network parameters, which represents a set of fractional-polynomial functions. It may be used for different purposes: search for optimal arrangement of FACTS devices, maximization of market welfare function and easy calculation of FACTS devices installation efficiency. The offered approach is tested on TCSC (Thyristor Controlled Series Capacitor) devices.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124069301","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 efficiency analysis based on the DEA and StoNED models: Case of Norwegian electricity distribution companies","authors":"Xiaomei Cheng, E. Bjørndal, M. Bjørndal","doi":"10.2139/ssrn.2459854","DOIUrl":"https://doi.org/10.2139/ssrn.2459854","url":null,"abstract":"Our paper applies data envelopment analysis (DEA) and stochastic non-parametric envelopment of data (StoNED) to measure cost efficiency of electricity distribution companies. The data cover 123 Norwegian electricity distribution companies during 2004-2010, and the performance of these companies is compared across the two models with and without environmental variables, i.e., variables that account for local conditions that affect the companies' costs. The results indicate that the cost efficiency estimates with the StoNED approach are much higher than with the DEA method when we do not consider environmental variables. It shows that the choice of estimation methods is important with respect to the estimated impact of environmental variables on the performance. In addition, the inclusion of the environmental variables has considerable effect on the classification of companies with respect to local returns to scale.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117274545","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":"Merging quantile regression with forecast averaging to obtain more accurate interval forecasts of Nord Pool spot prices","authors":"J. Nowotarski, R. Weron","doi":"10.1109/EEM.2014.6861285","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861285","url":null,"abstract":"We evaluate a recently proposed method for constructing prediction intervals, which utilizes the concept of quantile regression (QR) and a pool of point forecasts of different time series models. We find that in terms of interval forecasting of Nord Pool day-ahead prices the new QR-based approach significantly outperforms prediction intervals obtained from standard, as well as, semi-parametric autoregressive time series models.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"40 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":"121833992","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":"Economic motivation for electric vehicles participation in power market","authors":"L. Gračkova, I. Oleinikova","doi":"10.1109/EEM.2014.6861224","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861224","url":null,"abstract":"The article examines one of possible ways to solve the daily electric load demand balancing for power system on the basis of the economic motivation of plug-in hybrid, electric vehicles and vehicle-to-grid technology owners. Implementation of this technology has several economic and social advantages, such as additional revenue stream for cleaner vehicles, increased stability and reliability of the electric grid, lower electric system costs and backup for RES operation. To investigate the daily electric load demand, load profiles, electricity demand and production from 2010 to 2013 were analyzed and the consumption of electricity load for 2020 was considered. Economic motivation for EV participation in power markets is based on two-part network tariffs, with price difference for on-peak and off-peak energy. The impacts effects resulting from of the EVs integration into electrical distribution networks reduces the cost of charging for electric vehicles owners.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"319 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":"116900336","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 German transmission grid expansion in long-term perspective — What is the impact of renewable integration?","authors":"David Gunkel, Dominik Most","doi":"10.1109/EEM.2014.6861219","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861219","url":null,"abstract":"The German power sector will face a profound change from conventional power generation to an energy system with a high share of intermittent renewable energy sources. The following analysis addresses the future transmission grid design for Germany in 2030 in a context of different renewable integration schemes. Therefore a DC load flow model is set-up, which deals with the trade-off between grid expansion and regional renewable integration. Two scenarios concerning different renewable feed-in design options are considered: curtailment of renewables only at negative prices in the height of their individual levelized costs of electricity, and curtailment at marginal costs (tending to zero). To cope with the large-scale network capacity expansion problem, Benders Decomposition and DC-load flow approximation are applied. The results show that the different renewable integration schemes have different effects on the AC grid expansions in contrast to High-Voltage-Direct-Current (HVDC) connections.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"11 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":"127521051","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":"Stochastic LCOE for optimal electricity generation portfolio selection","authors":"C. Lucheroni, Carlo Mari","doi":"10.1109/EEM.2014.6861243","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861243","url":null,"abstract":"This paper discusses a recently introduced stochastic LCOE technique for optimizing multi-asset risky energy portfolios, and extends it using an improved dynamics and CVaR as a new interesting risk measure.","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":"123785383","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":"Sensitivity analysis of optimal transmission capacity reservation for cross-border exchange of reserve capacity in Northern Europe","authors":"Y. Gebrekiros, G. Doorman, S. Jaehnert","doi":"10.1109/EEM.2014.6861277","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861277","url":null,"abstract":"This paper discusses the impact of Nordic hydro inflow and change in planning period on total costs, optimal transmission capacity reservation, and country wise reserve procurement. The model is intended for the Northern European system including the day-ahead and reserve markets. The main impact of the inflow variation in the Nordic system is on the total costs. The effect of inflow variation on optimal transmission capacity reservation is not significant. Similarly, the main impact of the distinct peak and off-peak period reserve procurement is the flexibility a generating unit gets with shorter planning periods which subsequently results in lower costs. For the case with peak and off-peak distinction, Optimal transmission capacity reservation values in a given day are different whereas the pattern does not change for the whole year. The volume of upward and downward reserves procured was consistent irrespective of the Nordic inflow variation or the shortening of the planning period for reserve procurement.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"30 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":"115995240","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":"Efficiency improving of time of use tariffs for residential customer to create more valuable demand response resource","authors":"J. Andruszkiewicz, J. Lorenc, Artur Michalski","doi":"10.1109/EEM.2014.6861279","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861279","url":null,"abstract":"The means of increasing the impact of time of use tariffs to reduce peak load in the power system caused by household consumers were examined. The introduced concept of TOU tariff elasticity for shifting the demand allowed the comparison of such tariffs offered in Poland by the biggest power sale companies. The estimate of the needed DSR volume to support the safe balancing of the Polish power system was based on the example of the year 2012 for the hours with the highest balancing market prices. To create a share in such DSR resource the implementation of the demand side program with the critical peak rate was proposed for household customers of one of the largest electric energy suppliers in Poland. Basing on the concept of tariff elasticity the possible effects of such a program were presented and the financial risks associated with its implementation were shortly discussed.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"83 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":"122970466","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 EU ETS on the value of power plantscost pass-through rate, cost of capital","authors":"P. Witkowski","doi":"10.1109/EEM.2014.6861280","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861280","url":null,"abstract":"The aim of the article was to identify and analyze the most important, in opinion of the author, aspects of the impact of the EU ETS on power plants value. Literature was researched to identify factors determining the ability to shift costs of CO2. Theoretical and methodical considerations on the essence of so-called carbon risk and its impact on the cost of capital were carried out. Particularly important are critical analysis of currently available methods to estimate the impact of the EU ETS and observation that the carbon cost pass-through could increase inflation and the risk premium. Overall that could have adverse impact on a value of power plant as well as on the health of entire economy of the country. The conclusions of this study are important for the power station valuation process and therefore they are important for all stakeholders.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"59 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":"120959654","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}
S. Simoes, W. Nijs, Pablo Ruiz, A. Sgobbi, C. Thiel
{"title":"Decarbonised pathways for a low carbon EU28 power sector until 2050","authors":"S. Simoes, W. Nijs, Pablo Ruiz, A. Sgobbi, C. Thiel","doi":"10.1109/EEM.2014.6861232","DOIUrl":"https://doi.org/10.1109/EEM.2014.6861232","url":null,"abstract":"The linear optimization bottom-up technology model JRC-EU-TIMES is used to assess how different decarbonisation pathways affect the power sector's technological deployment till 2050. The model represents the EU28 energy system from 2005 to 2050, where each country is one region. We model eight scenarios, two of which are the \"reference\" complemented by six decarbonized pathways. The two \"reference\" scenarios are the Current Policy Initiatives scenario, including the 20-20-20 policy targets, and the Cap85 scenario with a CO2 reduction of 85% below 1990 values in 2050. The six decarbonized pathways are built over Cap85 as follows: smaller contribution of CCS; higher social acceptance and facilitated permitting of RES plants; higher social acceptance of nuclear plants; stricter and more effective end-use energy efficiency requirements; lower biomass availability for the energy system; and higher concerns with ensuring the reliability of transmission and distribution, reducing the share of intermittent variable solar and wind electricity.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"419 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":"116182884","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}