Proceedings of the Ninth International Conference on Future Energy Systems最新文献

Hybrid Day-ahead Load Forecasting with Atypical Residue based Gaussian Process Regression 基于非典型残差高斯过程回归的混合日前负荷预测

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3210283

Junho Song, E. Hwang

{"title":"Hybrid Day-ahead Load Forecasting with Atypical Residue based Gaussian Process Regression","authors":"Junho Song, E. Hwang","doi":"10.1145/3208903.3210283","DOIUrl":"https://doi.org/10.1145/3208903.3210283","url":null,"abstract":"The prediction accuracy of electric power consumption plays a crucial role for the efficiency of a smart grid. Hybrid approaches that jointly account for the linear and nonlinear portions of the electric load have shown promising performance because of the mixture of memory effects and random environmental perturbations. Especially for day-ahead short-term prediction, the potentially long time gap between the measurements and prediction point degrades the linear prediction performance, while the nonlinear prediction based on the weather forecast may supplement the degradation. This paper proposes a residue-based hybrid model that uses linear prediction by auto-regressive modeling and nonlinear prediction by Gaussian process regression with atypical residue of the weather forecast, particularly the difference of weather station forecasted and linear predicted local temperatures. Since the typical memory effect of the temperature can be double counted by both models, atypical residue without its linear prediction contribution is employed for the Gaussian process regression step. To verify the performance of the proposed scheme, a GIST campus electric power consumption dataset is evaluated. As expected, the linear prediction residue shows larger correlation to the atypical residue of temperature than the temperature itself. Consequently, hybrid model with the atypical residue temperature based Gaussian process regression shows improved performance in the day ahead load prediction.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121083535","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

Computational efficient Integration of Flexibility Options in Large Scale Energy System Models 大规模能源系统模型中柔性选项的高效集成

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212030

Julian Bartels, Wilko Heitkötter, W. Medjroubi

{"title":"Computational efficient Integration of Flexibility Options in Large Scale Energy System Models","authors":"Julian Bartels, Wilko Heitkötter, W. Medjroubi","doi":"10.1145/3208903.3212030","DOIUrl":"https://doi.org/10.1145/3208903.3212030","url":null,"abstract":"The integration of variable renewable energy sources (RES) with increased share in power supply systems leads to new challenges in power system models. In this context, flexibility options have a high potential to balance fluctuating renewable energy feed-in in a cost efficient and low emission way [8, 9]. However, the combination of model parameters like simulation time, space, sectors with increasing level of detail call for advances in model reduction techniques [6]. Hence, a trade-off between the increasing complexity introduced by introducing flexibility options and the required computational effort has to be found. In Section 1, the extension of storage units in the energy system as one of these flexibility options is investigated with the eGo model [4]. Furthermore, the model can take into account several other possibilities of flexibility options such as demand side management or power-to-X, which can be modelled as functional storage. The latter will gain in importance when the heat and transport sector are decarbonized by the use of sector coupling [1]. Section 2 presents an approach of the technoeconomic assessment of flexibility options from an operator's point of view, based on a large-scale energy system model.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125151316","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: 2

Multi-timescale Electricity Theft Detection and Localization in Distribution Systems Based on State Estimation and PMU Measurements 基于状态估计和PMU测量的配电系统多时间尺度窃电检测与定位

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3208908

Côme Carquex, C. Rosenberg

{"title":"Multi-timescale Electricity Theft Detection and Localization in Distribution Systems Based on State Estimation and PMU Measurements","authors":"Côme Carquex, C. Rosenberg","doi":"10.1145/3208903.3208908","DOIUrl":"https://doi.org/10.1145/3208903.3208908","url":null,"abstract":"Electricity theft is a serious issue for distribution companies around the world. Often linked to criminal activities, it is dangerous for the grid and the neighborhoods. While placing measurement points at each bus would allow an easy detection, it is not a practical approach. In this paper, a multi-timescale theft estimation (MISTE) method that takes advantage of smart-meters as well as the sparse grid sensing infrastructure that is being envisaged for state estimation is proposed. It combines power and voltage measurement across time to detect any inconsistency caused by electricity theft. Contrary to existing approaches which are snapshot-based and assume smart-meters to be able to measure instantaneous power consumption, the proposed method models smart-meters as energy measurement devices and combines the measurement timescales of the smart-meters and the PMUs in the computations. The detection performance of the proposed approach is compared to the state of the art theft detection methods. Both the true positive rate as well as the false negative rate are considered, which few papers have discussed previously. Insights on the impact of theft location on theft detection are also given.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127695227","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: 6

On the Challenges of Charging Electric Vehicles in Domestic Environments 国内环境下电动汽车充电的挑战

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212045

Luísa Barros, Lucas Pereira, P. Pyakurel

引用次数: 1

Absolute Scoring Scheme for Interoperability Testing of Advanced Metering Infrastructure on Demand Side Management 需求侧管理高级计量基础设施互操作性测试的绝对计分方案

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212035

Ioannis Poursanidis, N. Andreadou, E. Kotsakis, M. Masera

引用次数: 0

Day-ahead Trading of Aggregated Energy Flexibility 综合能源灵活性的日前交易

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3208936

Emmanouil Valsomatzis, T. Pedersen, A. Abelló

引用次数: 11

Achieving Scalable Model-Free Demand Response in Charging an Electric Vehicle Fleet with Reinforcement Learning 利用强化学习实现电动汽车充电中可扩展的无模型需求响应

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212042

Nasrin Sadeghianpourhamami, Johannes Deleu, Chris Develder

引用次数: 11

A Generalized Nash Equilibrium Analysis of Electric Power Transmission-Distribution Coordination 输配电协调的广义纳什均衡分析

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3214346

Ilyès Mezghani, A. Papavasiliou, H. L. Cadre

引用次数: 6

Mapping Data Centre Business Types with Power Management Strategies to Identify Demand Response Candidates 映射数据中心业务类型与电源管理策略，以确定需求响应候选人

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3213521

Sonja Klingert

{"title":"Mapping Data Centre Business Types with Power Management Strategies to Identify Demand Response Candidates","authors":"Sonja Klingert","doi":"10.1145/3208903.3213521","DOIUrl":"https://doi.org/10.1145/3208903.3213521","url":null,"abstract":"Data centres are key to a future energy system with a high share of intermittent renewable energy sources. They form the cloud that enables a modern life-style and cyber-physical based production; however, fulfilling these tasks makes them the fastest growing component of IT power demand. In the future energy system the flexibility of consumers' power demand will be a necessary response to the growing intermittency of power supply. Therefore, data centres as big consumers become one target power consumer group to integrate their flexibility potential into daily business operation. Research has seen this necessity for some years and developed technical strategies to control the power profile of a data centre, identifying a huge demand response potential. To date, however, hardly any data centre offers their flexbility to the power market. The reasons for the gap between the technical potential and realized valorization of a data centre's power flexibility are manifold. This paper aims at analysing this gap from a business viewpoint: Which data centre types do generally have customer contracts allowing for the necessary power flexibility? And to which degree do data centres have the necessary control over their power profile? In order to approach this set of questions, in a first step, typologies of data centres and of power saving strategies are created. Then data centre types are mapped with suitable power management strategies, and finally the results of this mapping process are discussed.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117290095","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: 6

How much demand side flexibility do we need?: Analyzing where to exploit flexibility in industrial processes 我们需要多少需求侧灵活性?分析在工业过程中如何利用灵活性

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3208909

L. Barth, V. Hagenmeyer, Nicole Ludwig, D. Wagner

引用次数: 13