2019 54th International Universities Power Engineering Conference (UPEC)最新文献_第10页

Economic Benefits of Energy Storage and Price-aware Demand Response for Future Smart Cities 未来智慧城市储能的经济效益和价格感知需求响应

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893590

I. Picioroagă, M. Eremia, Mihai Sănduleac

引用次数: 1

Creation of a computational framework for the European transmission grid with Power-to-Gas 为欧洲输电网建立电转气计算框架

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893606

A. Mazza, A. Rogin, Shaghayegh Zalzar, A. Estebsari, E. Bompard

{"title":"Creation of a computational framework for the European transmission grid with Power-to-Gas","authors":"A. Mazza, A. Rogin, Shaghayegh Zalzar, A. Estebsari, E. Bompard","doi":"10.1109/UPEC.2019.8893606","DOIUrl":"https://doi.org/10.1109/UPEC.2019.8893606","url":null,"abstract":"The presence of high penetration of Variable Renewable Energy Sources (VRES) is one of the key aspects of the modern electricity system. The new challenges to be faced require novel technologies which enhance the flexibility of the transmission system. In this paper, the exploitation of the power-to-gas technology (PtG) is considered as a solution for the flexibility challenges, allowing to absorb the excess of electricity produced by VRES and at the same time, producing synthetic natural gas (SNG). This work presents a computational framework based on DC Optimal Power Flow capable to simulate the day-ahead market and the following intra-day market, applied to a simplified European transmission network, by considering different scenarios for both load and generation. PtG plants model are modelled based on the real measurements of a 2-MW Alkaline (AEC) electrolyser. The results of a given PtG placement configuration, applied to a current scenario (2017) and two future scenarios (2030&2040) show that the fast response of PtG units improves the system performance and reduces the VRESs’ imbalance up to ~90% in terms of imbalance time duration and ~40% in terms of peak imbalance power. These results lead to further investigations, about the optimal PtG units’ placement and sizing, as well as their economic and technical consequences on the transmission network operation.","PeriodicalId":6670,"journal":{"name":"2019 54th International Universities Power Engineering Conference (UPEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81230459","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: 3

Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering 基于降维技术和聚类的有功和无功负荷分析

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893443

E. F. Yetkin, O. Ceylan, T. Papadopoulos, Anastasia G. Kazaki, Georgios A. Barzegkar-Ntovom

引用次数: 1

Innovative integrated ICT system for the real time monitoring of power quality and loss on the transport and distribution lines in the national power system 创新的综合ICT系统，用于实时监测国家电力系统中输配电线路的电能质量和损耗

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893582

C. Moldoveanu, I. Ionita, S. Grigorescu

{"title":"Innovative integrated ICT system for the real time monitoring of power quality and loss on the transport and distribution lines in the national power system","authors":"C. Moldoveanu, I. Ionita, S. Grigorescu","doi":"10.1109/UPEC.2019.8893582","DOIUrl":"https://doi.org/10.1109/UPEC.2019.8893582","url":null,"abstract":"Energy efficiency is essential for all global energy transitions. It is the most available, safe and affordable energy resource in the world, and every government has the power, the ability and the desire to continuously exploit energy efficiency in order to benefit from it on a large scale.An important amount of energy is lost in the transmission and distribution system due to technological and non-technological losses. Each component of the transmission and distribution system contributes to losses. The causes of these losses are multiple.The volume of energy losses in the power transmission and distribution systems is important, as it is generally up to 3 - 13%. The volume of power losses in Romania, in the power transmission and distribution systems is one of the biggest in Europe, the level being 10,885% in 2014 compared to the European average of 6,059%.The current paper presents the research results of the authors regarding the real time monitoring of power quality and loss on the transport and distribution lines in the national power system.","PeriodicalId":6670,"journal":{"name":"2019 54th International Universities Power Engineering Conference (UPEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87517359","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: 0

Impact of Consumer Profiles on a Consumer Convenience Prioritised Demand Response 消费者资料对消费者便利优先需求反应的影响

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893502

Chittesh Veni Chandran, K. Sunderland, M. Basu

{"title":"Impact of Consumer Profiles on a Consumer Convenience Prioritised Demand Response","authors":"Chittesh Veni Chandran, K. Sunderland, M. Basu","doi":"10.1109/UPEC.2019.8893502","DOIUrl":"https://doi.org/10.1109/UPEC.2019.8893502","url":null,"abstract":"Distribution network (DN) load flexibility has simultaneously created challenges and opportunities. The major challenge is to meet the demand-supply balance while maintaining a positive profit-loss ratio. Further, Government enforced climate change policies attract low carbon technology (LCT) distributed energy resources (DER), which further complicate matters. Along with DN, the domestic appliance industry has undergone drastic modernization leading to appliances with advanced control and power efficient technologies as well as automation capabilities. This paper proposes a demand response (DR) program that facilitates these advancements while micromanaging the domestic load consumption pattern so as to manage peak demand in the network. This work identifies consumer conviction towards the DR programs as the major bottle neck for the success of such load management programs. The mixed integer linear programming based DR (MILP – DR) algorithm proposed here, minimizes the consumer inconvenience while facilitating load reduction. Further, attractive consumer engagement plans promoting different levels of engagement (load reduction) are also proposed, which further enhance the choice offering for consumers. The algorithm is tested on a 74 load (domestic) urban distribution network having 8 different consumer profiles. The algorithm is capable of inducing impartiality between consumers by updating a tolerance factor correlating inconvenience of consumers with load deprivation. The results show the capability of the algorithm to distribute load reduction based on the engagement plan, while also minimizing the consumer inconvenience. The results also suggest correlations between social parameters and achievable DR.","PeriodicalId":6670,"journal":{"name":"2019 54th International Universities Power Engineering Conference (UPEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85450606","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: 0

Bounds of Estimated States Based on Line Parameter Uncertainties 基于线参数不确定性的估计状态边界

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893608

M. Asprou, E. Kyriakides, M. Albu

引用次数: 2

Efficiency Investigation of a Grid Connected PV System with Power Smoothing 考虑功率平滑的并网光伏系统效率研究

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893628

S. Ioannou, M. Argyrou, C. Marouchos, M. Darwish

引用次数: 6

Industrial load forecasting using machine learning in the context of smart grid 基于机器学习的智能电网工业负荷预测

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893540

S. Ungureanu, V. Topa, A. Cziker

{"title":"Industrial load forecasting using machine learning in the context of smart grid","authors":"S. Ungureanu, V. Topa, A. Cziker","doi":"10.1109/UPEC.2019.8893540","DOIUrl":"https://doi.org/10.1109/UPEC.2019.8893540","url":null,"abstract":"Integration of industrial consumers into the smart grid concept can be facilitated by optimizing load forecasting for industrial consumers. Minimizing forecast errors can improve the supplier-consumer relationship by reducing balancing costs and anticipate possible network faults. The present paper aims to research the efficiency of machine learning applied for industrial load. The dataset consists of hourly recorded values for electricity consumption generated by a meat processing facility. In the context of installing complex monitoring systems with high frequency recording intervals, huge amounts of data will be generated that require detalied analysis and real time processing, otherwise the investments in the smart grid are not justified, consequently disfavouring the development and digitization of electrical networks. Integration of the industrial consumer into the smart grid concept can be applied in great detail at large industrial consumers through robust forecasting. Forecasting the energy behaviour of a industrial consumer is a difficult task, high forecasting errors have been obtained due to the unpredictability of the consumer.","PeriodicalId":6670,"journal":{"name":"2019 54th International Universities Power Engineering Conference (UPEC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90860926","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

Load Frequency Control of a Power System with 100% Renewables 100%可再生能源电力系统的负荷频率控制

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893587

H. H. Fayek

引用次数: 6

Mid-Term Congestions Forecast in the German Transmission Grid 德国输电网中期拥堵预测

2019 54th International Universities Power Engineering Conference (UPEC) Pub Date : 2019-09-01 DOI: 10.1109/UPEC.2019.8893546

M. Nobis, Andreas Blank, Katharina Kollenda, Henrik Schwaeppe, L. Wyrwoll, A. Martin, Philippe Vassilopoulos

引用次数: 1