{"title":"Implications of market liberalization and green energy regulation on power generation in Switzerland","authors":"M. I. Thoma","doi":"10.1109/EEM.2012.6254794","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254794","url":null,"abstract":"This paper investigates how carbon taxes and feed-in tariffs as well as combinations of these regulations influence investment decisions in power generation under uncertainty. Moreover, we analyze the interactions between market power and regulation instruments. To this end, we numerically simulate a microeconomic investment model with a two-stage time structure, different kinds of uncertainty, market power settings and type-of-technology dependent cost structures for Switzerland using scenario analysis. Our results show that regulation instruments can significantly modify cost structures and change the respective profitability rankings of technologies. This alters the strategic behavior of the dominant market player and therewith overall investment patterns. The outcome of a policy regime is therefore strongly dependent on the degree of market liberalization and not only on the regulation instrument. Nevertheless, the share of electricity production derived from renewable energy sources is most effectively raised by a combination of political market interventions, including competition policy.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"103 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":"124727227","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":"Offshore wind power generation and transmission tariff design options","authors":"S. Hadush, R. Belmans","doi":"10.1109/EEM.2012.6254713","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254713","url":null,"abstract":"The aim of this study is to conduct a comparative evaluation of different transmission tariff design options and to draw conclusions for offshore wind power generation (OFWG) investment. The study uses a transmission expansion planning (TEP) model to evaluate the cost and the resulting cost is allocated to grid users using four cost allocation methods: Postage Stamp (PS), Marginal Participation (MP), Aumann-Shapley (AS) and Long Run Marginal Cost (LRMC). Cost allocations are made for all possible combinations of Generation-Load (G-L) split. Numerical case studies were provided using 4 and 12 node network. Results show that LRMC, MP and AS send economic signals but with different levels of strength where the LRMC is superior. However, this might put the development of offshore wind generation at stake. For OWPG, PS is found to be the most attractive method. Furthermore, the cost allocation results and the ranking of the methods are sensitive to G-L split.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"27 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":"127549115","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 customer characterization based on different representative load curves","authors":"I. Panapakidis, M. Alexiadis, G. Papagiannis","doi":"10.1109/EEM.2012.6254761","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254761","url":null,"abstract":"Load profiling provides the necessary information about daily demand patterns for the short and medium-term actions οf retailers and utilities. Consumer characterization is a two stage approach: In the first stage, the daily load curves of each consumer are classified in a certain number of clusters. Each cluster constitutes a load profile. In the second stage, one of these profiles is chosen as representative for the consumer and a new classification takes places between the load profiles of each customer, leading to the formulation of customer classes. This paper examines various approaches for the formulation of the consumer classes during the first stage. A specific profile is chosen and the second stage procedure takes place. A criterion based on cost of purchased electricity is introduced in order to evaluate the results of the clustering of the second stage.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"52 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":"126216028","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":"Solving of transmission network development tasks in market and uncertainty conditions","authors":"I. Moshkin, S. Berjozkina, A. Sauhats","doi":"10.1109/EEM.2012.6254750","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254750","url":null,"abstract":"This paper is dedicated to the task of planning energy supply systems in the market environment. The possibilities of forming coalitions between companies are considered. In this case, for justifying the decisions and distributing the gains a cooperative game theory is used. Methods of forming a coalition and distributing additional gains are described in this paper. The example with the proposed strategy is based on a real project of 330 kV and 110kV high voltage lines between two substations and show the rationality and efficiency of using the considered approach.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"90 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":"126246582","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":"Evaluating market designs in power systems with high wind penetration","authors":"T. Haring, G. Andersson, J. Lygeros","doi":"10.1109/EEM.2012.6254715","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254715","url":null,"abstract":"In this paper we assess the incidence of strategic behavior of demand and supply units in market set ups which should enable the efficient in-feed of renewable energy sources. Therefore, a sequence of energy and reserve power auctions is modeled in an agent-based framework in order to approximately come up with the drawbacks of the different market designs. The main focus lies on the reserve power market. The generation companies as well as representative consumers are facilitated with Q-learning in order to exploit market flaws. The representative network includes a renewable in-feed, which is characterized by low marginal generation costs. In terms of congestion management, we assume in a first step uniform marginal pricing, in a second step nodal pricing for the energy power auction.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"38 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":"127086109","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}
B. Wasowicz, S. Koopmann, T. Dederichs, A. Schnettler, U. Spaetling
{"title":"Evaluating regulatory and market frameworks for energy storage deployment in electricity grids with high renewable energy penetration","authors":"B. Wasowicz, S. Koopmann, T. Dederichs, A. Schnettler, U. Spaetling","doi":"10.1109/EEM.2012.6254811","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254811","url":null,"abstract":"Investment volumes in renewable energies in Germany are far ahead of the necessary infrastructure to integrate them into both the electricity market and the grid. For storages and other technologies offering flexibilities the current regulatory framework and the market design in Germany remain a barrier for upcoming investments. In this paper regulatory barriers for an economically efficient energy storage deployment are presented and evaluated using a generic optimization model for a multifunctional operation of storage technologies on electricity markets capable to consider different market and regulatory design changes. Due to the rising significance of grid restrictions for the integration of intermittent resources and upcoming new innovative storage technologies on distribution grid level, the electricity grid was integrated into the model. Such an approach enables a quantitative analysis of interaction between market operation and grid congestion. This is shown using a 110kV high-voltage grid in the North of Germany as a representative congested grid with ongoing curtailments due to high wind energy penetration. Storage technologies - and also other measures as demand-side and generation management - will need a flexible market and a sophisticated regulatory design in order to significantly add value to the future energy system.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"8 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":"122247069","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":"Analysis of electricity markets using multidimensional scaling","authors":"F. Azevedo, J. Machado","doi":"10.1109/EEM.2012.6254792","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254792","url":null,"abstract":"This paper studies the impact of the energy upon electricity markets using Multidimensional Scaling (MDS). MDS is a computational and statistical technique that produces a spatial representation of similarity between objects through factors of relatedness. MDS represents in a low dimensional map data points whose similarities are defined in a higher dimensional space. Data from major energy and electricity markets is considered. Several maps produced by MDS are presented and discussed revealing that this method is useful for understanding the correlation between them. Furthermore, the results help electricity markets agents hedging against Market Clearing Price (MCP) volatility.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"81 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120867948","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":"Impact of sophisticated orders on spot power prices","authors":"A. Tirez, P. Luickx, D. Woitrin","doi":"10.1109/EEM.2012.6254795","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254795","url":null,"abstract":"In this paper, we analyse the impact of the introduction of more sophisticated types of bids on the wholesale day ahead market for electricity. The Belgian market is taken as a case study with available data used for the period 2007-2010. Sophisticated orders allow physical assets to be allocated in the most efficient way, even if prices deviate significantly from expectations. In this paper we analyse the quantitative impact on spot prices, both in terms of level and variability, if smart bids had been introduced. The main focus lies on tailor made sophisticated orders for pumped storage. The analyses are based on market resiliency data of Belpex, the Belgian Power exchange, and real historical data on available pumped storage plants. The findings could tip the balance to deepening the market coupling along with the widening to other geographical areas. Our results indicate that straight-forward solutions can improve the optimal allocation of scarce resources in the day ahead electricity market.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"32 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":"127315797","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":"Impact on reserves and energy delivery of current UC-based Market-Clearing formulations","authors":"G. Morales-España, J. García-González, A. Ramos","doi":"10.1109/EEM.2012.6254749","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254749","url":null,"abstract":"Reserves are playing each time a more important role due to the massive penetration of renewable energy sources nowadays. Operating reserves must be used for unforeseen events. All predictable events must be directly considered in the scheduling stage otherwise there will be an inefficient and unnecessary use of reserves that increases system operation costs and can even endanger the power system security. This paper presents a qualitative assessment of some widely used implicit assumptions in Unit Commitment (UC)-based Market-Clearing (MC) formulations. We show evidence of the impact on reserves and system security due to considering the use of energy blocks in the MC. In addition to this, we present the consequences on the reserve deployment due to the underlying accepted assumptions in UC-based MC formulations. Finally, we give some recommendations which must be incorporated in UC-based MC formulations in order to schedule and use the operating reserves efficiently.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"16 2 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":"130619420","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":"On zonal pricing for congestion management","authors":"A. Jokić, P. V. D. Bosch, A. Virag, R. M. Hermans","doi":"10.1109/EEM.2012.6254810","DOIUrl":"https://doi.org/10.1109/EEM.2012.6254810","url":null,"abstract":"This paper is concerned with zonal pricing as an approach to congestion management. The main contributions of the paper are summarized as follows. Algebraic characterization of optimal zonal prices is presented, where physical tie-line limits are explicitly accounted for without introducing conservatism. In a case of affine bids, it is shown that the optimal zonal price in a zone can be represented as appropriately defined weighted average of auxiliary nodal prices in that zone. The weights used for averaging are directly derived from the bids made to the market. A novel numerical algorithm for computing optimal zonal prices is presented. The advantageous feature of the algorithm is that it can be implemented in a distributed fashion. An example is presented to illustrate and support the theoretical contributions of the paper.","PeriodicalId":383754,"journal":{"name":"2012 9th International Conference on the European Energy Market","volume":"319 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":"134012790","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}