{"title":"Maximization of social welfare in distribution network with distributed generations using genetic algorithm","authors":"M. N. Mojdehi, X. Xia, Jiangfeng Zhang","doi":"10.1109/EEM.2011.5953065","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953065","url":null,"abstract":"Retail electrical power marketers, also known as retailers, typically set up contracts with suppliers to secure electricity at fixed prices on the one hand and with end users to meet their load requirements at agreed rates on the other hand. High penetration of distributed generation (DG) resource is increasingly observed worldwide. This paper analyzes the problem of setting up contracts on both the supplier and end-user sides to maximize profits while maintaining a minimum operational cost of the distribution network with distributed generations. Proposed genetic algorithm in this paper, can minimize cost of distribution system with Distributed Generation and maximize profits of retailers. Numerical simulations are carried out based on an IEEE 33-bus test distribution network. Test results are included to show the performance of the proposed method.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"14 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":"132893414","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":"Market coupling of South East Europe in the electricity sector","authors":"I. Toljan, M. Tot, G. Skubin","doi":"10.1109/EEM.2011.5952998","DOIUrl":"https://doi.org/10.1109/EEM.2011.5952998","url":null,"abstract":"Market coupling with the mechanism of implicit auctions is a new and increasingly employed model of coupling of different national electricity markets, where national market operators remain independent legal persons. ERGEG, in its efforts to develop a more integrated European energy market, sees the role of European regional connections as essential for the development of a liberalised market. Building of a common European market in the electricity sector requires a special coherent strategy, considering the characteristics of electricity as a commodity on the market, but also as a physical phenomenon. Consequently, activities are taking place based on a three-fold strategic approach: the first one is a legally binding contract defining key objectives with timeframes, the second one is the selection of a market model deriving from the best practice which will enable regional harmonisation and the third one is establishment of a suitable coordinating and monitoring body.","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":"131968004","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":"Analyzing market power in a multistage and multiarea electricity and natural gas system","authors":"Stephan Spiecker","doi":"10.1109/EEM.2011.5953030","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953030","url":null,"abstract":"Strategic behavior by gas traders is likely to affect future gas prices. Within this article a computational game theoretic model is presented which allows assessing market power on the natural gas market and its influence on the electricity market. This model uses typical time segments to represent both seasonal load fluctuations on the natural gas market and hourly load fluctuations on the electricity market. An application is presented covering 40 regions and simultaneously optimizing dispatch and utilization of transmission lines on the power market as well as supply, transmission and storage on the natural gas market. The model is used to evaluate the influence of trader market power in the natural gas market on the electricity market. We compute price changes, sales volume and power plant utilization for three different market power specifications.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"39 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":"125155681","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 influence of regulatory objectives on the intensity of unbundling in electricity markets","authors":"Henrik Lindemann","doi":"10.1109/EEM.2011.5953098","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953098","url":null,"abstract":"The degree of separation between transmission networks and the remaining stages of the electricity value chain varies considerably within the European Union. Suggesting a possible explanation for this diversity by assuming a regulator that acts as in Niskanen's theory of bureaucracy, we show that in a multi-stage game the actual degree of unbundling is only determined by the weight attached to the objectives pursued by this authority. Hence, national regulators might exploit their discretionary powers to their own advantage. This might, in turn, decisively shape the deregulation process in European electricity markets and impede the development of a homogeneous regulatory environment across the EU.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"14 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":"115590556","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 of continuous double auctions in the electricity market","authors":"Alexander Weber, S. Schroder","doi":"10.1109/EEM.2011.5952987","DOIUrl":"https://doi.org/10.1109/EEM.2011.5952987","url":null,"abstract":"Intra-day electricity markets are considered as important mechanisms to reconcile short-term fluctuations of energy production with consumption. This even gains in significance in systems with heavy intermittent production at virtually no variable costs, such as wind energy. In Europe, intra-day markets are often designed as continuous double auctions where bid and ask orders are collected continuously, ranked by price and time of arrival. Although this market type can be considered as delivering more or less efficient results, the trading process itself is time-consuming. This poses the question whether continuous markets yield comparably good results when flexibility of market participants to change their schedules at short notice is costlier than having changed them earlier. We apply an extended zero-intelligent-trader simulation model to assess the impact of costly flexibility on market outcomes. We find that costly flexibility with a correspondig demand for flexibility may negatively affect the efficiency of continuous double auctions. For the energy market, this could imply that the markets' ability to exploit flexibility is systematically limited.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"367 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":"115608005","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":"Distributed generation dispatch optimization by artificial neural network trained by particle swarm optimization algorithm","authors":"S. Golestani, M. Tadayon","doi":"10.1109/EEM.2011.5953071","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953071","url":null,"abstract":"Distributed power generation is a small-scale power generation technology that provides electric power at a site closer to customers than the central generating stations. The Distributed Generation (DG) has been created a challenge and an opportunity for developing various novel technologies in power generation. The proposed work discusses the primary factors that have lead to an increasing interest in DG. DG reduces line losses, increases system voltage profile and hence improves power quality. The proposed work finds out the optimal generation dispatch of the DG by artificial neural network. This ANN has been trained by optimal values of power generation by each DG at different status of network. In order to get over the insufficiency of back-propagation (BP) algorithm, after analyses of particle swarm optimization (PSO) a continuous version of PSO algorithm is proposed. The objective function of PSO algorithm is a combination of cost of loss and cost of power generation by each DG with considering different load state. The feasibility of the proposed method is demonstrated for typical distribution network, and it is compared with the other researches.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"144 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":"116611352","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 decision support system for hydro power plants in markets for energy and ancillary services","authors":"Željko Štefan, M. Brezovec, Dusan Mundar","doi":"10.1109/EEM.2011.5953052","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953052","url":null,"abstract":"This paper analyses solutions for optimal bidding for hydro units operating in simultaneous markets for energy and ancillary services and decision making process for plant refurbishment and generating capacity upgrade. Methodology based on the Decision Theory will be applied to identify the optimal solutions which minimize the expected costs and the related risks. The proposed methodology will be demonstrated for a real hydropower plant in Croatia (Varazdin HPP) which will be refurbished.","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":"114447312","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":"Congestion management in the European electricity sector: Lessons from the European air transport sector","authors":"C. Duthaler, M. Finger","doi":"10.1109/EEM.2011.5952969","DOIUrl":"https://doi.org/10.1109/EEM.2011.5952969","url":null,"abstract":"The electricity sector and the air transport sector are two network industries of crucial pan-European importance. Driven by liberalization and the increasing usage of their networks, they are both faced with the challenge of network congestion and its efficient management at national and European scale. Given the head-start of liberalization in the air transport sector, the development of congestion management mechanisms began about a decade earlier than in the electricity sector and achieved significant performance improvements. This paper compares the approaches to congestion management in the two sectors from a technical and institutional point of view. It concludes that congestion management in the European electricity sector could be improved by applying coordination and optimization mechanisms established in the European air transport sector.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"14 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":"122160975","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 short term electricity prices forecasting using Markov chains","authors":"S. Halilčević, A. Gubina","doi":"10.1109/EEM.2011.5953008","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953008","url":null,"abstract":"This paper presents a method for short-term electricity price forecasting based on combination of the Monte Carlo simulation and Markov chains. The method provides an estimation of the probabilities of various electricity price ranges, average prices, and probabilities of the highest price range, for each hour of the next 24 hours. The external variables have been implicitly accounted for through the Monte Carlo simulation. Using the market data of the European Power Exchange (EPEX) as a test case, the effectiveness of the proposed method has been verified by comparison with the best regression methods.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"38 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":"124026819","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":"Scenario analysis for RES-E integration in Italy up to 2050","authors":"F. Lanati, A. Gelmini","doi":"10.1109/EEM.2011.5953044","DOIUrl":"https://doi.org/10.1109/EEM.2011.5953044","url":null,"abstract":"The paper aims at analyzing four possible development scenarios of the Italian power system up to 2050 using the multi-regional model MATISSE (TIMES based). This study has been realized for the WP2 of the European project SUSPLAN that aims to develop strategies, recommendations and benchmarks for the integration of renewable energy sources (RES) in the European context on a time horizon stretching to 2050. The results of the study show, for each scenario, the different RES-E development, the fossil fuel dependency and CO2 emissions in the Italian power system. MATISSE may also “invest” in the development of the Italian electric grid, if considered cost-effective. Therefore the paper also shows how the spread of RES-E will affect the development of the electric grid in Italy.","PeriodicalId":143375,"journal":{"name":"2011 8th International Conference on the European Energy Market (EEM)","volume":"73 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":"123065925","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}