{"title":"Simulation-based optimization of ancillary services","authors":"P. Havel, P. Filas, J. Fantík","doi":"10.1109/EEM.2008.4579090","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579090","url":null,"abstract":"In this paper a task of finding an optimal set of ancillary services for power balance control is formulated and an algorithm how to solve the optimization task is described. The set of ancillary services is optimal in the sense that it ensures safe, reliable operation of the transmission system under minimal costs for ancillary services purchase on the market. The algorithm relies on a detailed Monte-Carlo simulator of power balance control.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215006","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 industrial organization : What about the strategic behavior of hydro and thermal operators ?","authors":"H. Hedfi, A. Dakhlaoui","doi":"10.1109/EEM.2008.4579102","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579102","url":null,"abstract":"In this paper, we develop a two-period model where we analyze and compare a hydro/thermal electrical system under different industrial organization: monopoly, Cournot competition and collusion; under storage constraint, water availability constraint and thermal turbine capacity constraint. First, we prove that the technological complementarity have an important role in the satisfaction of electricity demand in the different industrial organization. Second, by the analytical resolution, we show that inter temporal private monopoly water transfer from off-peak season to peak season is not high as the same transfer under a public monopoly and therefore this increases the power price. Under Cournot competition, an increase in the peak season implies a water transfers from off peak season to the peak season. The results of collusion depend on availability of water resource and the demand parameters. The results of collusion depend on availability of water resource and the demand parameters.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769348","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":"Multi-area load frequency control in a deregulated power system using optimal output feedback method","authors":"J. Sadeh, E. Rakhshani","doi":"10.1109/EEM.2008.4579110","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579110","url":null,"abstract":"In this paper, the dynamical response of the load-frequency control problem in the deregulated environment is improved with a pragmatic viewpoint. In the practical environment, access to all of the state variables of system is limited and measuring all of them is also impossible. To solve this problem, in this paper the optimal output feedback method is proposed. In the output feedback method, only the measurable state variables within each control area is required to use for feedback. The optimal control law is determined by minimizing a performance index under the output feedback conditions leading to a coupled matrix equation. The proposed method is tested on a two-area power system with different contracted scenarios. The results of the proposed controller are compared with the full-state feedback method. The results are shown that when the power demands changed, the output feedback method have a good ability to tracking of contracted and/or non-contracted demands. In fact, this method provides a control system that satisfied the load frequency control requirements and with a reasonable dynamic response.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131019842","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":"ERGEG South-West Electricity REM: First achievements and market coupling","authors":"J. Capelo, J. Esteves, H. Milheiras, P. Torres","doi":"10.1109/EEM.2008.4579100","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579100","url":null,"abstract":"In Spring 2006, the European Regulators' Group for Electricity and Gas (ERGEG), decided to launch the Regional Initiatives, towards a competitive Single European Energy Market, creating three gas and seven electricity Regional Energy Markets (REMs), namely the South-West Electricity Regional Energy Market (ERGEG SW Electricity REM), comprising the existing Iberian market, MIBEI, and France. To implement this regional market the very first priority task is to deal with cross border capacity issues namely harmonizing capacity allocation and congestion management methods. The \"Explicit Auction method\" is being currently applied to the interconnection between France and Spain, where capacity is allocated on annual, quarterly, monthly and daily basis through explicit auctions held by transmission system operators. In the \"Implicit Auction method\", capacity allocation results from the daily market with a single market price if there is enough cross border capacity. When cross border capacity is not enough, prices will be different and cross border exchange will be limited to the available capacity. In this case the remaining demand will be met by bids from its own area - the \"Market Splitting\". MIBEI applies a mix of Explicit Auctions, held jointly by both TSOs, and Implicit Auctions held under the daily and intraday Iberian power exchange. During the first months of implementation, Market Splitting has applied most of the time, resulting in a MIBEI with two different prices and with a congested interconnection between the two countries. The \"Market Coupling Method\" can be treated as an evolution of the \"Implicit Auction Method\" when there are different interconnected areas with two or more different power exchanges and two or more possible price areas. This paper also presents the first achievements of the ERGEG South-West Electricity REM and future Market Coupling, explaining the existing congestion management methods.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124751420","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":"Day-ahead electricity price forecasting using the relief algorithm and neural networks","authors":"N. Amjady, A. Daraeepour","doi":"10.1109/EEM.2008.4579109","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579109","url":null,"abstract":"In a competitive electricity market, forecast of energy prices is a key information for the market participants. However, price signal usually has a complex behavior due to its nonlinearity, nonstationarity, and time variancy. In spite of all performed researches on this area in the recent years, there is still an essential need for more accurate and robust price forecast methods. In this paper, a combination of a feature selection technique and neural network (NN) is proposed for this purpose. The feature selection method is a modified version of the relief algorithm, proposed for the feature selection of price forecasting. Then, by means of the most relevant, explanatory and irredundant features, a neural network (NN) predicts the next values of the price signal. The adjustable parameters of the whole method are fine-tuned by a cross-validation technique. The proposed method is examined on PJM electricity market, forecasting day-ahead locational marginal prices (LMPs), and compared with some of the most recent price forecast methods especially some other popular and validated feature selection techniques. These comparisons indicate the validity and robustness of the proposed forecasting method.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123585941","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":"Future governance of the European transmission grids","authors":"M. Nilsson, K. Gustafsson","doi":"10.1109/EEM.2008.4579066","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579066","url":null,"abstract":"The important role of the transmission infrastructure in the development of the internal electricity market is the main issue in this paper. The key question is how to get the former national entities to broaden their scope, thus including the values that trades across former ldquoclosedrdquo borders may realize into the decisions of operations and planning. Further, we discuss the institutional setting in information disclosure and procedures for choosing infrastructure projects in a manner that consistently can reduce regulatory risks for stakeholders other than the transmission system operator (TSO). We try to exemplify the importance and tools of changing governance, making it aimed at accommodating a path towards the sustainable integrated European electricity market.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121625232","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 future impact of wind on BPA power system load following and regulation requirements","authors":"Y. Makarov, Shuai Lu, B. McManus, J. Pease","doi":"10.1109/EEM.2008.4579079","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579079","url":null,"abstract":"Wind power is growing at a very fast pace as an alternative generating resource. As the ratio of wind power over total system capacity increases, the impact of wind on various system aspects becomes significant. This paper presents a methodology to study the future impact of wind on BPA power system load following and regulation requirements. Existing methodologies for similar analysis include dispatch model simulation and standard deviation evaluation on load and wind data. The methodology proposed in this paper uses historical data and stochastic processes to simulate the load balancing processes in the BPA power system. It mimics the actual power system operations therefore the results are close to reality yet the study based on this methodology is convenient to perform. The capacity, ramp rate and ramp duration characteristics are extracted from the simulation results. System load following and regulation capacity requirements are calculated accordingly. The ramp rate and ramp duration data obtained from the analysis can be used to evaluate generation fleet ramp requirement and regulating unitspsila energy requirement, respectively.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160971","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":"Pricing daily electricity transfer capacities in the Spain — France interconnection","authors":"R. Covas, L. Pascual","doi":"10.1109/EEM.2008.4579121","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579121","url":null,"abstract":"Nowadays, it is possible to sell energy across countries using the existing interconnections. In Europe, one example is the interconnection between France and Spain. These interconnections have limited capacity. Therefore, the right to use the interconnections becomes a valuable position for the different companies and players, due to the spread of electricity prices between countries. The transfer capacities are obtained in annual, monthly, daily and intra-day transfer auctions.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131832662","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":"Calculation of cost-minimal resources for the operation of electrical networks","authors":"Andreas Berg, Hans-Jürgen Haubrich","doi":"10.1109/EEM.2008.4579017","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579017","url":null,"abstract":"Operation expenditures for electrical networks are mainly caused by costs of resources, e. g. field service personnel, agency staff, material and tools. These resources are required for executing processes for maintenance, fault clearance as well as for investment projects. The network operatorpsilas resource allocation strategy for operating the network strongly depends on available resources and long-term planning of predictable processes. This paper presents a newly developed method for optimizing resources for the operation of electrical networks. For this, all relevant influencing factors on resource allocation, e.g. uncertain fault occurrences or stochastic durations of processes, have to be considered. As a result, minimal costs for operating the network may be quantified for network system operators in an objective manner. Functionality and practicality of the developed method are shown exemplarily based on a data set for maintenance and fault clearance for 65 high voltage substations.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616389","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}
R. C. Leme, J. B. Turrioni, P. Balestrassi, A. C. Zambroni de Souza, P. Santos
{"title":"A study of electricity price volatility for the Brazilian energy market","authors":"R. C. Leme, J. B. Turrioni, P. Balestrassi, A. C. Zambroni de Souza, P. Santos","doi":"10.1109/EEM.2008.4579095","DOIUrl":"https://doi.org/10.1109/EEM.2008.4579095","url":null,"abstract":"In the recent months, the price of the electricity in Brazil has presented a high level of volatility. As an example, the verified highest electricity price return in March 2007 was almost 260%. The volatility of a commodity plays an important role in the study of the risk management. It also improves the efficiency in parameter estimation and the accuracy in interval forecast. In this work, the Generalized Autoregressive Conditional Heteroscedastic (GARCH) model is used to study the price volatility in the Brazilian market in four geographical regions. The results have shown that the model is able to estimate the behavior of the volatility.","PeriodicalId":118618,"journal":{"name":"2008 5th International Conference on the European Electricity Market","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116475909","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}