Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558677
F. Lanati, A. Gelmini, M. Borgarello
The paper aims at analyzing a possible evolution of the Italian power generation mix. A scenario, ranging to 2030, has been analyzed in order to focus on the Italian energy policy whose long-term objective is a “25-25-50” electric energy generation mix (25% renewable sources, 25% nuclear and 50% fossil fuels). This scenario analysis has been carried out using the multi-regional model MATISSE (Markal-TIMES based) of the Italian power system. In this paper, the results of the study will be presented, showing, in line with the three “pillars” of the EU policy, how reaching the nuclear and renewable (RES) development targets affects fossil fuel dependency (security of supply), production costs (competitiveness) and CO2 emissions (sustainability).
{"title":"A scenario analysis for a challenging energy policy in Italy","authors":"F. Lanati, A. Gelmini, M. Borgarello","doi":"10.1109/EEM.2010.5558677","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558677","url":null,"abstract":"The paper aims at analyzing a possible evolution of the Italian power generation mix. A scenario, ranging to 2030, has been analyzed in order to focus on the Italian energy policy whose long-term objective is a “25-25-50” electric energy generation mix (25% renewable sources, 25% nuclear and 50% fossil fuels). This scenario analysis has been carried out using the multi-regional model MATISSE (Markal-TIMES based) of the Italian power system. In this paper, the results of the study will be presented, showing, in line with the three “pillars” of the EU policy, how reaching the nuclear and renewable (RES) development targets affects fossil fuel dependency (security of supply), production costs (competitiveness) and CO2 emissions (sustainability).","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123935148","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558747
S. Prousch, C. Breuer, A. Moser
The ongoing change from a centralized to a decentralized energy supply with an increasing penetration of new network customers, such as dispersed generation units, electric heating systems and electric vehicles, brings along new challenges for the planning and operation of energy supply systems. Since existing infrastructure, especially the distribution grids, are not designed for a high penetration of the mentioned network customers, an uncontrolled operation would demand high investments for network extensions to prevent an impermissible loading of equipments. Therefore, the question arises if these new customers can be controlled intelligently to prevent network extension and to minimize operational costs at the same time. This paper presents a method that optimizes the operation of energy supply systems based on a detailed model of the new network customers and the distribution grid The functionality of the developed method is demonstrated by investigating a future supply task of realistic complexity.
{"title":"Optimization of decentralized energy supply systems","authors":"S. Prousch, C. Breuer, A. Moser","doi":"10.1109/EEM.2010.5558747","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558747","url":null,"abstract":"The ongoing change from a centralized to a decentralized energy supply with an increasing penetration of new network customers, such as dispersed generation units, electric heating systems and electric vehicles, brings along new challenges for the planning and operation of energy supply systems. Since existing infrastructure, especially the distribution grids, are not designed for a high penetration of the mentioned network customers, an uncontrolled operation would demand high investments for network extensions to prevent an impermissible loading of equipments. Therefore, the question arises if these new customers can be controlled intelligently to prevent network extension and to minimize operational costs at the same time. This paper presents a method that optimizes the operation of energy supply systems based on a detailed model of the new network customers and the distribution grid The functionality of the developed method is demonstrated by investigating a future supply task of realistic complexity.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124748053","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558732
A. Vergnol, V. Rious, J. Sprooten, B. Robyns, J. Deuse
With the increased use of wind energy several Transmission System Operators (TSO) have increasing difficulties for congestion forecasting due to the unpredictable nature of the energy source. To maintain the state of the system within acceptable and secure operating conditions, the TSOs require the curtailment of the production of generators to avoid local congestion on the power grid. These actions reduce the revenue of renewable producers and limit the development of green energy. This is because renewable producers with support schemes bear the inherent cost of congestion when they are re-dispatched. This paper proposes two types of market mechanism that solve the above mentioned problems in case of local congestion. The first mechanism consists in a compensation between renewable producers to limit the amount of redispatched generation in situations when the local congested power grid incorporates only renewable production. If both renewable and conventional productions are connected close to each other, a second mechanism will be used to incentivize competition among power adjustment offers.
{"title":"Integration of renewable energy in the European power grid: Market mechanism for congestion management","authors":"A. Vergnol, V. Rious, J. Sprooten, B. Robyns, J. Deuse","doi":"10.1109/EEM.2010.5558732","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558732","url":null,"abstract":"With the increased use of wind energy several Transmission System Operators (TSO) have increasing difficulties for congestion forecasting due to the unpredictable nature of the energy source. To maintain the state of the system within acceptable and secure operating conditions, the TSOs require the curtailment of the production of generators to avoid local congestion on the power grid. These actions reduce the revenue of renewable producers and limit the development of green energy. This is because renewable producers with support schemes bear the inherent cost of congestion when they are re-dispatched. This paper proposes two types of market mechanism that solve the above mentioned problems in case of local congestion. The first mechanism consists in a compensation between renewable producers to limit the amount of redispatched generation in situations when the local congested power grid incorporates only renewable production. If both renewable and conventional productions are connected close to each other, a second mechanism will be used to incentivize competition among power adjustment offers.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128773147","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558728
S.N. Singh, J. Ostergaard
Demand response (DR) can provide sufficient measure, if implemented successfully, to provide economic, secure and stable supply to the customers even under the variability of the generated output from renewable energy source such as wind and solar. However, there are several issues to be analyzed before DR implementation. This paper critically examines the present practices of the DR in the various electricity markets existing in the world including Europe. The prospect of DR in various market levels such as day-ahead (spot) market, hour-ahead market, real time/regulating market and ancillary market is analyzed. This paper also addresses the key issues and challenges in the implementation of DR in the electricity markets.
{"title":"Use of demand response in electricity markets: An overview and key issues","authors":"S.N. Singh, J. Ostergaard","doi":"10.1109/EEM.2010.5558728","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558728","url":null,"abstract":"Demand response (DR) can provide sufficient measure, if implemented successfully, to provide economic, secure and stable supply to the customers even under the variability of the generated output from renewable energy source such as wind and solar. However, there are several issues to be analyzed before DR implementation. This paper critically examines the present practices of the DR in the various electricity markets existing in the world including Europe. The prospect of DR in various market levels such as day-ahead (spot) market, hour-ahead market, real time/regulating market and ancillary market is analyzed. This paper also addresses the key issues and challenges in the implementation of DR in the electricity markets.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125405502","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558744
M. Madaleno, C. Pinho
Derivative contracts like futures are usually used to reduce the risk from variations in the spot market. In this work we use monthly futures contracts in the German electricity market, estimating the minimum variance hedge ratio conditionally by the multivariate GARCH diagonal BEKK model and unconditionally by OLS, the naïve strategy and wavelets. Even if low in terms of variance reduction, results indicate that dynamic hedging provides superior gains compared to those obtained from static hedging and wavelet time-scale decompositions.
{"title":"Dynamic and static hedging in electricity: Where do we stand?","authors":"M. Madaleno, C. Pinho","doi":"10.1109/EEM.2010.5558744","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558744","url":null,"abstract":"Derivative contracts like futures are usually used to reduce the risk from variations in the spot market. In this work we use monthly futures contracts in the German electricity market, estimating the minimum variance hedge ratio conditionally by the multivariate GARCH diagonal BEKK model and unconditionally by OLS, the naïve strategy and wavelets. Even if low in terms of variance reduction, results indicate that dynamic hedging provides superior gains compared to those obtained from static hedging and wavelet time-scale decompositions.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122988716","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558674
Olena Pechak, G. Mavrotas, D. Diakoulaki
The world driven by the concern for climate change and by growing prices for fossil fuels is trying to make a more drastic shift towards renewable energy sources (RES). The Kyoto protocol mechanisms are supposed to assist this process. The scope of this paper is to analyze the so far gained experience by the implementation of the Clean Development Mechanism (CDM), in order to investigate its role in the formation of green energy markets. The analysis focuses on the particular case of wind energy as it is one of the most promising and fast developing technologies for RES exploitation. A major objective is to estimate the relative importance of wind energy within the whole package of CDM projects, as well as to identify the influence of CDM activities on the development of the global green energy market.
{"title":"Investigating the role of the clean development mechanism within the global green energy market: The case of wind energy","authors":"Olena Pechak, G. Mavrotas, D. Diakoulaki","doi":"10.1109/EEM.2010.5558674","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558674","url":null,"abstract":"The world driven by the concern for climate change and by growing prices for fossil fuels is trying to make a more drastic shift towards renewable energy sources (RES). The Kyoto protocol mechanisms are supposed to assist this process. The scope of this paper is to analyze the so far gained experience by the implementation of the Clean Development Mechanism (CDM), in order to investigate its role in the formation of green energy markets. The analysis focuses on the particular case of wind energy as it is one of the most promising and fast developing technologies for RES exploitation. A major objective is to estimate the relative importance of wind energy within the whole package of CDM projects, as well as to identify the influence of CDM activities on the development of the global green energy market.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"4 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126100644","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558716
P. Frías, T. Gómez, P. Linares
In order to meet the 20-20-20 European energy policy commitments Spain should continue increasing the amount of electricity production from renewable energy sources (RES) along this decade. This paper analyzes the impact of the future RES deployment on the Spanish power system. Six scenarios are defined by setting different RES installed capacity targets and considering the uncertainty in fuel prices. First, the generation mix is planned for the horizon 2010–20 calculating the investment required in conventional thermal generation for each scenario. Then the system operation, hour by hour, is simulated in 2020 for each generation mix in each scenario. Operational fuel and carbon emission costs are calculated. Costs associated with operational reserves and wind curtailment to counteract or wind power intermittency and predictability errors are also computed. Finally, total systems costs, both investment and operating costs, are compared in the considered scenarios. The economic impact on electricity prices and operational margins of actual power plants is also discussed.
{"title":"Economic impact of 2020 renewable energy scenarios on the Spanish electricity market","authors":"P. Frías, T. Gómez, P. Linares","doi":"10.1109/EEM.2010.5558716","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558716","url":null,"abstract":"In order to meet the 20-20-20 European energy policy commitments Spain should continue increasing the amount of electricity production from renewable energy sources (RES) along this decade. This paper analyzes the impact of the future RES deployment on the Spanish power system. Six scenarios are defined by setting different RES installed capacity targets and considering the uncertainty in fuel prices. First, the generation mix is planned for the horizon 2010–20 calculating the investment required in conventional thermal generation for each scenario. Then the system operation, hour by hour, is simulated in 2020 for each generation mix in each scenario. Operational fuel and carbon emission costs are calculated. Costs associated with operational reserves and wind curtailment to counteract or wind power intermittency and predictability errors are also computed. Finally, total systems costs, both investment and operating costs, are compared in the considered scenarios. The economic impact on electricity prices and operational margins of actual power plants is also discussed.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133307510","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558755
Kostis Sakellaris
The last decade has seen an increasing application of game theoretic tools in the analysis of electricity markets and the strategic behavior of market players. This paper focuses on the model examined by Fabra et al. (2008), where the market is described by a two-stage game with the firms choosing their capacity in the first stage and then competing in prices in the second stage. By allowing the firms to endogenously determine their capacity, through the capacity investment stage of the game, they can greatly affect competition in the subsequent pricing stage. Extending this model to the demand uncertainty case gives a very good candidate for modeling the strategic aspect of the investment decisions in an electricity market. After investigating the required assumptions for applying the model in electricity markets, we present some numerical examples of the model on the resulting equilibrium capacities, prices and profits of the firms. We then proceed with two results on the minimum value of price caps and the minimum required revenue from capacity mechanisms in order to induce adequate investments.
{"title":"Modeling electricity markets as two-stage capacity constrained price competition games under uncertainty","authors":"Kostis Sakellaris","doi":"10.1109/EEM.2010.5558755","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558755","url":null,"abstract":"The last decade has seen an increasing application of game theoretic tools in the analysis of electricity markets and the strategic behavior of market players. This paper focuses on the model examined by Fabra et al. (2008), where the market is described by a two-stage game with the firms choosing their capacity in the first stage and then competing in prices in the second stage. By allowing the firms to endogenously determine their capacity, through the capacity investment stage of the game, they can greatly affect competition in the subsequent pricing stage. Extending this model to the demand uncertainty case gives a very good candidate for modeling the strategic aspect of the investment decisions in an electricity market. After investigating the required assumptions for applying the model in electricity markets, we present some numerical examples of the model on the resulting equilibrium capacities, prices and profits of the firms. We then proceed with two results on the minimum value of price caps and the minimum required revenue from capacity mechanisms in order to induce adequate investments.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125807062","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558695
F. Amorim, M. V. M. Martins, P. Pereira da Silva
Departing from the main query of how to re-design the existing RES-E incentive model in view of a tighter integration with the Iberian Electricity Market, a restructured proposal of the current feed-in tariff remuneration model is presented. The paper begins with the existing energy policy context in Portugal, in section II. A summary of the most recent changes in the Portuguese electricity systems are presented in section III. Section IV identifies how RES-E (special regime) production costs impact on the electricity final price. Section V describes the remuneration model employed by the Portuguese Energy Regulator (ERSE) and proposes an innovative methodological approach. Section VI compares both methodologies results from experimentation with 2008 and 2009 data, and section VII concludes. Results show that electricity consumers would have avoided paying approx. 3.2 and 7.9 €/MWh, each of the years, to subsidize RES-E in case the new methodology was pursued and investors profitability maintained.
{"title":"A new perspective to account for renewables impacts in Portugal","authors":"F. Amorim, M. V. M. Martins, P. Pereira da Silva","doi":"10.1109/EEM.2010.5558695","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558695","url":null,"abstract":"Departing from the main query of how to re-design the existing RES-E incentive model in view of a tighter integration with the Iberian Electricity Market, a restructured proposal of the current feed-in tariff remuneration model is presented. The paper begins with the existing energy policy context in Portugal, in section II. A summary of the most recent changes in the Portuguese electricity systems are presented in section III. Section IV identifies how RES-E (special regime) production costs impact on the electricity final price. Section V describes the remuneration model employed by the Portuguese Energy Regulator (ERSE) and proposes an innovative methodological approach. Section VI compares both methodologies results from experimentation with 2008 and 2009 data, and section VII concludes. Results show that electricity consumers would have avoided paying approx. 3.2 and 7.9 €/MWh, each of the years, to subsidize RES-E in case the new methodology was pursued and investors profitability maintained.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129870371","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}
Pub Date : 2010-06-23DOI: 10.1109/EEM.2010.5558697
P. Andrianesis, G. Liberopoulos, George Kozanidis, A. Papalexopoulos
The goal of this paper is to evaluate the incentive compatibility of several cost- and bid-based recovery mechanisms that may be implemented in a wholesale electricity market to make the generation units whole in the presence of non-convexities, which are due to unit commitment costs and capacity constraints. To this end, we simulate the bidding behavior of the participants in a simplified model of the Greek joint energy/reserve day-ahead electricity market, where we assume that the players (units) participate as potential price-makers in a non-cooperative game with complete information that is repeated for many rounds. The results suggest that a mechanism based on bid recovery with a regulated cap is quite promising.
{"title":"Recovery mechanisms in a joint energy/reserve day-ahead electricity market with non-convexities","authors":"P. Andrianesis, G. Liberopoulos, George Kozanidis, A. Papalexopoulos","doi":"10.1109/EEM.2010.5558697","DOIUrl":"https://doi.org/10.1109/EEM.2010.5558697","url":null,"abstract":"The goal of this paper is to evaluate the incentive compatibility of several cost- and bid-based recovery mechanisms that may be implemented in a wholesale electricity market to make the generation units whole in the presence of non-convexities, which are due to unit commitment costs and capacity constraints. To this end, we simulate the bidding behavior of the participants in a simplified model of the Greek joint energy/reserve day-ahead electricity market, where we assume that the players (units) participate as potential price-makers in a non-cooperative game with complete information that is repeated for many rounds. The results suggest that a mechanism based on bid recovery with a regulated cap is quite promising.","PeriodicalId":310310,"journal":{"name":"2010 7th International Conference on the European Energy Market","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123772404","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}
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