Pub Date : 2017-09-01DOI: 10.1109/ISGTEurope.2017.8260135
Olivier Borne, M. Petit, Y. Perez
The aim of this paper is to study the implications of the decision of the French regulator to join the FCR Cooperation, a common platform for cross-border procurement of primary reserve. Two aspects will be analyzed: 1) cost of procurement and increase of social welfare by cross-border procurement and 2) implications for entry of new entrants like aggregators of Electric Vehicles. Our results are that joining the FCR Cooperation will impact negatively participation of aggregators and might not result to lower costs for procurement of reserve.
{"title":"Market integration VS temporal granularity: How to provide needed flexibility resources?","authors":"Olivier Borne, M. Petit, Y. Perez","doi":"10.1109/ISGTEurope.2017.8260135","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2017.8260135","url":null,"abstract":"The aim of this paper is to study the implications of the decision of the French regulator to join the FCR Cooperation, a common platform for cross-border procurement of primary reserve. Two aspects will be analyzed: 1) cost of procurement and increase of social welfare by cross-border procurement and 2) implications for entry of new entrants like aggregators of Electric Vehicles. Our results are that joining the FCR Cooperation will impact negatively participation of aggregators and might not result to lower costs for procurement of reserve.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116720724","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 : 2017-07-17DOI: 10.1109/EEM.2017.7982021
Han Wang, N. Good, P. Mancarella, K. Lintern
This paper presents a mixed integer linear program based model to optimize smart community energy systems, based upon physical models of buildings, energy storage, and energy conversion devices. Using a level-of-aggregation approach, the model can accommodate different price components at the relevant aggregation level. Community energy systems with various characteristics have been assessed considering different objectives (i.e., energy minimization, cost minimization and electricity self-sufficiency). Community behavior and economic performance are assessed to demonstrate the impact of different operation objectives and energy storage options on network constraints and economics.
{"title":"FV-battery community energy systems: Economic, energy independence and network deferral analysis","authors":"Han Wang, N. Good, P. Mancarella, K. Lintern","doi":"10.1109/EEM.2017.7982021","DOIUrl":"https://doi.org/10.1109/EEM.2017.7982021","url":null,"abstract":"This paper presents a mixed integer linear program based model to optimize smart community energy systems, based upon physical models of buildings, energy storage, and energy conversion devices. Using a level-of-aggregation approach, the model can accommodate different price components at the relevant aggregation level. Community energy systems with various characteristics have been assessed considering different objectives (i.e., energy minimization, cost minimization and electricity self-sufficiency). Community behavior and economic performance are assessed to demonstrate the impact of different operation objectives and energy storage options on network constraints and economics.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115369531","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 : 2017-07-14DOI: 10.1109/EEM.2017.7981883
Jaakko Jääskeläinen, Behnam Zakeri, S. Syri
Due to ambitious national and EU level climate targets, wind power capacity in Finland has grown rapidly, while a significant amount of thermal capacity has been decommissioned or mothballed. Moreover, Finland is growing more dependent on electricity imports and the current electricity prices do not encourage market-based investments in power capacity. Hence, the issue of power capacity adequacy during winter peaks has been present in the political discourse in Finland, especially since the record-high demand peak in January 7th 2016. We analyse the Finnish power system by simulating different stress factors and their combinations, e.g. faults in the largest power plants and transmission lines, in a period such as January 7th 2016 using EnergyPLAN simulation tool. The results show that, despite the record-high demand, the Finnish power system currently has both technical capacity and adequate measures of intervention to cope with severe stress factors in the simulated period.
{"title":"Adequacy of power capacity during winter peaks in Finland","authors":"Jaakko Jääskeläinen, Behnam Zakeri, S. Syri","doi":"10.1109/EEM.2017.7981883","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981883","url":null,"abstract":"Due to ambitious national and EU level climate targets, wind power capacity in Finland has grown rapidly, while a significant amount of thermal capacity has been decommissioned or mothballed. Moreover, Finland is growing more dependent on electricity imports and the current electricity prices do not encourage market-based investments in power capacity. Hence, the issue of power capacity adequacy during winter peaks has been present in the political discourse in Finland, especially since the record-high demand peak in January 7th 2016. We analyse the Finnish power system by simulating different stress factors and their combinations, e.g. faults in the largest power plants and transmission lines, in a period such as January 7th 2016 using EnergyPLAN simulation tool. The results show that, despite the record-high demand, the Finnish power system currently has both technical capacity and adequate measures of intervention to cope with severe stress factors in the simulated period.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"423 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114454702","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 : 2017-07-14DOI: 10.1109/EEM.2017.7981977
Xinhe Yang, C. Gu, Furong Li
This paper proposes a modified long-run incremental cost pricing (LRIC) method for distribution network pricing considering the diversified contributions of network users to system peak. The Shapley-value method and modified coincident factor method are used to determine network users' various contributions to the system. The comparison between original LRIC and the modified LRIC indicates the positive correlation between the contribution to system peak and network charges for different network users. This paper also explores the potential users' behavior change to gain bill reductions according to the cooperative-game theory and the consequential network investment deferral.
{"title":"Network pricing for smart grids considering customers' diversified contribution to system","authors":"Xinhe Yang, C. Gu, Furong Li","doi":"10.1109/EEM.2017.7981977","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981977","url":null,"abstract":"This paper proposes a modified long-run incremental cost pricing (LRIC) method for distribution network pricing considering the diversified contributions of network users to system peak. The Shapley-value method and modified coincident factor method are used to determine network users' various contributions to the system. The comparison between original LRIC and the modified LRIC indicates the positive correlation between the contribution to system peak and network charges for different network users. This paper also explores the potential users' behavior change to gain bill reductions according to the cooperative-game theory and the consequential network investment deferral.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121344696","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 : 2017-07-14DOI: 10.1109/EEM.2017.7981944
Bo Jie, T. Tsuji, K. Uchida
Recently, with the penetration of renewable energy sources, the balancing market becomes more important worldwide. With the purpose of profit-maximization, suppliers are constantly researching the bidding strategy when bidding into the auction of balancing market. There are two mainstreams of auction mechanisms in balancing markets: “uniform-price auction” based on marginal fuel cost and “pay-as-bid auction” with discriminatory pricing. We have so far analyzed the difference of the clearing point given by both these two mechanisms. Here, the bidding strategy of market participants were modelled by using Q-Learning in which expected final reward of each player in the balancing market was maximized. The simulation result also depends on the simulation model, in particular, the marginal cost of generating plants. So, it is necessary for us to explore the various simulation settings to find out the desirable market mechanism. On the other hand, in Japan, the balancing market should be set out in the future as real time market. Under this condition, in this paper, we mainly evaluate the rationality of the trading based on the uniform-price and pay-as-bid auction mechanisms by using more realistic power system model considering the future power and energy situation in Japan.
{"title":"An analysis of market mechanism and bidding strategy for power balancing market mixed by conventional and renewable energy","authors":"Bo Jie, T. Tsuji, K. Uchida","doi":"10.1109/EEM.2017.7981944","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981944","url":null,"abstract":"Recently, with the penetration of renewable energy sources, the balancing market becomes more important worldwide. With the purpose of profit-maximization, suppliers are constantly researching the bidding strategy when bidding into the auction of balancing market. There are two mainstreams of auction mechanisms in balancing markets: “uniform-price auction” based on marginal fuel cost and “pay-as-bid auction” with discriminatory pricing. We have so far analyzed the difference of the clearing point given by both these two mechanisms. Here, the bidding strategy of market participants were modelled by using Q-Learning in which expected final reward of each player in the balancing market was maximized. The simulation result also depends on the simulation model, in particular, the marginal cost of generating plants. So, it is necessary for us to explore the various simulation settings to find out the desirable market mechanism. On the other hand, in Japan, the balancing market should be set out in the future as real time market. Under this condition, in this paper, we mainly evaluate the rationality of the trading based on the uniform-price and pay-as-bid auction mechanisms by using more realistic power system model considering the future power and energy situation in Japan.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114658131","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 : 2017-07-14DOI: 10.1109/EEM.2017.7981974
M. Farrokhseresht, N. Paterakis, M. Gibescu, J. Slootweg
This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.
{"title":"Minimization of distribution system losses by exploiting storage and anticipating market-driven behaviour of wind power producers","authors":"M. Farrokhseresht, N. Paterakis, M. Gibescu, J. Slootweg","doi":"10.1109/EEM.2017.7981974","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981974","url":null,"abstract":"This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131734441","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}
We study structural breaks in the emission allowance price process of the European Union Trading System during Phase Π and Phase III, covering years from 2008 to 2016. There is indeed a structural break between the Phase II and Phase III. However, there are several regimes within each of these phases. We find that the high-volatility regimes are usually the regimes with negative average returns, whereas low-volatility regimes usually exhibit zero or positive average returns.
{"title":"Structural breaks in emission allowance prices","authors":"Péter Molnár, Sven Thies","doi":"10.2139/ssrn.2987732","DOIUrl":"https://doi.org/10.2139/ssrn.2987732","url":null,"abstract":"We study structural breaks in the emission allowance price process of the European Union Trading System during Phase Π and Phase III, covering years from 2008 to 2016. There is indeed a structural break between the Phase II and Phase III. However, there are several regimes within each of these phases. We find that the high-volatility regimes are usually the regimes with negative average returns, whereas low-volatility regimes usually exhibit zero or positive average returns.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121957458","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 : 2017-06-16DOI: 10.1109/EEM.2017.7981978
Péter Molnár, M. Bašta
We study the relation between gasoline prices and Google searches for the term “gasoline prices”. Utilizing the framework of a vector autoregressive model and Granger causality, we find a two-way relationship between gasoline prices and Google searches. In both directions, the relation is negative, i.e. an increase in one of the variables leads to a decrease in the other variable. Moreover, we find the strongest evidence for causality from Google searches to gasoline prices.
{"title":"Google searches and Gasoline prices","authors":"Péter Molnár, M. Bašta","doi":"10.1109/EEM.2017.7981978","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981978","url":null,"abstract":"We study the relation between gasoline prices and Google searches for the term “gasoline prices”. Utilizing the framework of a vector autoregressive model and Granger causality, we find a two-way relationship between gasoline prices and Google searches. In both directions, the relation is negative, i.e. an increase in one of the variables leads to a decrease in the other variable. Moreover, we find the strongest evidence for causality from Google searches to gasoline prices.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133211192","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 : 2017-06-06DOI: 10.1109/EEM.2017.7982031
R. Reinhardt, S. G. Domingo, B. Garcia, I. Christodoulou
The end-of-life (EOL) strategy of repurposing degraded electric vehicle (EV) batteries in second use applications holds the potential to reduce first-cost obstacles of EVs. With a prospective EV market uptake, increasing numbers of retired batteries will be available soon for battery second use (B2U). But this emerging secondary market remains unclear from a business model perspective. This paper evaluated the evolving B2U market from a macro environmental perspective to comprehend key opportunities and threats in the future.
{"title":"Macro environmental analysis of the electric vehicle battery second use market","authors":"R. Reinhardt, S. G. Domingo, B. Garcia, I. Christodoulou","doi":"10.1109/EEM.2017.7982031","DOIUrl":"https://doi.org/10.1109/EEM.2017.7982031","url":null,"abstract":"The end-of-life (EOL) strategy of repurposing degraded electric vehicle (EV) batteries in second use applications holds the potential to reduce first-cost obstacles of EVs. With a prospective EV market uptake, increasing numbers of retired batteries will be available soon for battery second use (B2U). But this emerging secondary market remains unclear from a business model perspective. This paper evaluated the evolving B2U market from a macro environmental perspective to comprehend key opportunities and threats in the future.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279407","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 : 2017-06-06DOI: 10.1109/EEM.2017.7981980
J. Vasilj, S. Gros, A. Grauers, Ivan Krasić
The role of EVs can range from that of passive loads with no difference compared to the traditional ones to active components highly beneficial to the modern power system. An essential part in changing EV storages from passive to active components is the contractual framework. Therefore, we present several different agreements that can be formed between a power supplier and an EV owner. These agreements establish the terms for utilization of storages when an EV is parked and connected to a household charger. We show that these benefits are significant and present a valuable economic opportunity for both EV owners and power suppliers.
{"title":"Valuation of contract between power supplier and electric vehicle owner","authors":"J. Vasilj, S. Gros, A. Grauers, Ivan Krasić","doi":"10.1109/EEM.2017.7981980","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981980","url":null,"abstract":"The role of EVs can range from that of passive loads with no difference compared to the traditional ones to active components highly beneficial to the modern power system. An essential part in changing EV storages from passive to active components is the contractual framework. Therefore, we present several different agreements that can be formed between a power supplier and an EV owner. These agreements establish the terms for utilization of storages when an EV is parked and connected to a household charger. We show that these benefits are significant and present a valuable economic opportunity for both EV owners and power suppliers.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647294","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：