2018 15th International Conference on the European Energy Market (EEM)最新文献_第8页

Forecasting Energy Commodities Prices with Bayesian Model Combination Schemes 用贝叶斯模型组合方案预测能源商品价格

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469881

Krzysztof Drachal

引用次数: 0

Asymmetric Impact of Economic Growth on CO2Emissions: Evidence from the EU Countries 经济增长对二氧化碳排放的不对称影响:来自欧盟国家的证据

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469773

M. Piłatowska, Andrzej Geise, A. Włodarczyk

引用次数: 1

Estimating Energy Reduction Amount in the Event of Demand Response Activation: Baseline Model Comparison for the Baltic States 需求响应激活情况下的能源减量估算:波罗的海国家基线模型比较

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469796

Līga Sadoviča, Valentīns Lavrinovičs, A. Sauhats, Oatis Junghans, Karin Maria Lehtmets

{"title":"Estimating Energy Reduction Amount in the Event of Demand Response Activation: Baseline Model Comparison for the Baltic States","authors":"Līga Sadoviča, Valentīns Lavrinovičs, A. Sauhats, Oatis Junghans, Karin Maria Lehtmets","doi":"10.1109/EEM.2018.8469796","DOIUrl":"https://doi.org/10.1109/EEM.2018.8469796","url":null,"abstract":"Demand response integration in energy markets can provide significant financial saving for grid operators and market participants and promote optimal resource allocation. An important step towards the integration is the introduction of methodology estimating energy transferred via demand response activation event. In essence, a consumption baseline model is a mathematical forecast of the energy consumption pattern that would have occurred in the absence of demand response event. These calculations are then used as the basis for the financial settlement among different market parties - consumers, aggregators, system operators and balance responsible parties. Currently there is no universal consensus on the best consumption baseline model and approaches used, differ wildly even among countries with relatively high demand response commercial activity. The objective of this paper is to compare different consumption baseline methodologies in terms of accuracy and robustness while taking into account the unique challenges within the Baltic region. For the comparative analysis we use hourly consumption patterns of one year for 40 different types of consumers. The analysis suggest that from the consumption baseline models reviewed, UK model performs the best in terms of accuracy and robustness.","PeriodicalId":334674,"journal":{"name":"2018 15th International Conference on the European Energy Market (EEM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133638734","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}

引用次数: 4

Changing to Power-Based Grid Pricing - An Incentive for Grid Defections in Nordic Conditions? 向基于电力的电网定价转变——北欧条件下电网叛逃的诱因?

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469929

Jouni Haapaniemi, J. Haakana, N. Belonogova, J. Lassila, J. Partanen

引用次数: 2

Economic Impacts of Power-Based Tariffs on Peer-to-Peer Electricity Exchange in Community Microgrids 电价对社区微电网点对点电力交换的经济影响

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469778

A. Narayanan, Jouni Haapaniemi, T. Kaipia, J. Partanen

{"title":"Economic Impacts of Power-Based Tariffs on Peer-to-Peer Electricity Exchange in Community Microgrids","authors":"A. Narayanan, Jouni Haapaniemi, T. Kaipia, J. Partanen","doi":"10.1109/EEM.2018.8469778","DOIUrl":"https://doi.org/10.1109/EEM.2018.8469778","url":null,"abstract":"Due to the proliferation of renewables-based distributed energy resources, many electricity customers today consume and produce electricity. Since prosumers can benefit from supplying surplus electricity to consumers with electricity deficits, (p2p) peer-to-peer electricity exchange has been proposed for low-voltage (LV) microgrids forming “community microgrids.” The distribution system operator (DSO), who is an important stakeholder in LV networks, has an income that is largely energy dependent. However, energy-based tariffs (EBT) do not reflect the true cost of a DSO's network investment that is highly dependent on the peak power in the network. A power-based distribution tariff (PBT) scheme where customers pay for their peak load (€/kW) instead of consumed energy (€/kWh) has been proposed. In this paper, we evaluate the economic impacts of revising the tariff structure from EBT to PBT on customers participating in p2p community microgrids with photovoltaic (PV) installations. We consider four different Finnish customer types and compare the benefits obtained by 36 customers of each type after their EBT was replaced by PBT. We apply PBT also to the power supplied by prosumers to their peers. Nearly all the customers (expectedly) benefited from electricity exchange especially for the typical PV system size of 5 kWp. When the PV system Sizes were increased, the benefits decreased and became negative at PV system size ≥ 17.5 kWp,. In particular, the savings in EBT and PBT cases were similar-the tariff change from EBT to PBT did not significantly affect the customers' benefits from electricity exchange.","PeriodicalId":334674,"journal":{"name":"2018 15th International Conference on the European Energy Market (EEM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117020801","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}

引用次数: 9

Impact Assessment of Power-to-X Options in the German Residential Sector 德国住宅部门电转x方案的影响评估

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469968

Michael Haendel, Rainer Eisiand

引用次数: 1

Viability Analysis of a Decentralized Energy Market Based on Blockchain 基于b区块链的分散式能源市场可行性分析

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469906

M. Foti, Dimitrios Greasidis, M. Vavalis

引用次数: 17

Modeling Large Electric Vehicle Fleets in Power System Simulations 电力系统仿真中的大型电动车队建模

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469820

L. Skiba, A. Moser

{"title":"Modeling Large Electric Vehicle Fleets in Power System Simulations","authors":"L. Skiba, A. Moser","doi":"10.1109/EEM.2018.8469820","DOIUrl":"https://doi.org/10.1109/EEM.2018.8469820","url":null,"abstract":"The need to reduce total greenhouse gas emissions leads to an increase in suitable efforts in all sectors. Therefore, in the transportation sector, a growing number of electric vehicles is expected. A rising number of electric vehicles also increases the electric load, which in turn increases demand on electricity markets. Depending on the time of charging processes, higher peak loads and a rising demand for flexibility could be the consequence. At the same time, electric vehicles and the possibility to shift their charging processes could counter this rising demand for flexibility or even enable the vehicules to provide flexibility for the grid. In order to study problems like this, market simulations are frequently used. In that context or for other types of power system simulations, adequate modeling of electric vehicles becomes indispensable. Therefore, firstly, this paper discusses implications of modeling large numbers of individual electric vehicles in power system simulations. Subsequently, we propose a way to model aggregated vehicle classes to circumvent possible problems adequately considering relevant restrictions. We use exemplary investigations in a market simulation to validate our model. The results indicate that the proposed model is suitable to represent large fleets of electric vehicles in power system simulations.","PeriodicalId":334674,"journal":{"name":"2018 15th International Conference on the European Energy Market (EEM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132261350","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}

引用次数: 1

Impact of an Enlargement of the Flow Based Region in Continental Europe 欧洲大陆流动基础区域扩大的影响

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8470008

I. Marjanović, D. V. Stein, N. van Bracht, A. Moser

{"title":"Impact of an Enlargement of the Flow Based Region in Continental Europe","authors":"I. Marjanović, D. V. Stein, N. van Bracht, A. Moser","doi":"10.1109/EEM.2018.8470008","DOIUrl":"https://doi.org/10.1109/EEM.2018.8470008","url":null,"abstract":"In the CWE region, flow based market coupling went live in May, 2015. However, a foreseen broader flow based region triggers additional questions from various perspectives. On the one hand, market participants wonder how flow based mechanisms affect the market clearing. On the other hand, TSOs deal with the issues of redispatch and the future development of the respective volumes. Policy makers, as another stakeholder, ask about the potential increase of the overall market efficiency. To contribute to these questions, we propose a tool chain in this paper, which consists of three main steps: Capacity Calculation Methodology, hybrid flow based market coupling and a redispatch simulation. In exemplary investigations, we apply the developed tool chain on two use cases with a different scope of the flow based region. The main results indicate, more overall converging prices in Europe and a significant increase of trade restricting network elements, also located within bidding zones, in case of a broader flow based region. Additionally, the overall fundamental system efficiency increases by 150 million Euros per year in our exemplary investigation.","PeriodicalId":334674,"journal":{"name":"2018 15th International Conference on the European Energy Market (EEM)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129121081","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}

引用次数: 12

Designing An Electrical Network Configuration to Improve the Efficiency of Electricity Market 设计电网结构以提高电力市场效率

2018 15th International Conference on the European Energy Market (EEM) Pub Date : 2018-06-01 DOI: 10.1109/EEM.2018.8469907

T. Lomane, A. Mahņitko, K. Berzina, I. Zicmane

引用次数: 0