2019 International Conference on Smart Energy Systems and Technologies (SEST)最新文献

Measurement Data Acquisition System in Laboratory for Renewable Energy Sources 可再生能源实验室测量数据采集系统

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-27 DOI: 10.1109/SEST.2019.8849146

Dario Dosen, Matej Žnidarec, D. Šljivac

{"title":"Measurement Data Acquisition System in Laboratory for Renewable Energy Sources","authors":"Dario Dosen, Matej Žnidarec, D. Šljivac","doi":"10.1109/SEST.2019.8849146","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849146","url":null,"abstract":"This paper presents laboratory for renewable energy sources equipped with measurement data acquisition system. The system is developed by the Laboratory for Renewable Energy Sources (RESLAB) at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Croatia. Data acquisition system relies on specific hardware and software technologies incorporated into one system. It uses custom-based measuring hardware, strong communication protocols, automatic software processing mechanisms, web applications and server-side computation. Analysed system continuously measures electrical parameters acquired from photovoltaic (PV) technologies and meteorological parameters on the test site. Acquisition hardware consists of three main parts: data acquisition system of 5 PV modules made of different technologies; data acquisition system of 10 kWp PV system and data acquisition system of meteorological parameters. All measured data is stored in an extensive database. Stored data is organized and visualized on a dedicated web server. Measurement data acquisition system described in this paper represents unique, custom-developed and open-source data acquisition system used for long-term performance analysis of PVs and can be scaled and utilized for various research areas.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829650","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

Enhancing Short-Circuit Level and Dynamic Reactive Power Exchange in GB Transmission Networks under Low Inertia Scenarios 低惯性下提高GB输电网的短路电平和动态无功交换

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-26 DOI: 10.1109/SEST.2019.8849020

D. Tzelepis, Q. Hong, C. Booth, P. Papadopoulos, J. Ramachandran, Guangya Yang

引用次数: 3

Analysis of Battery Energy Storage System Integration in a Combined Cycle Power Plant 联合循环电厂电池储能系统集成分析

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-09 DOI: 10.1109/SEST.2019.8849125

F. Kremer, Maxime Buquet, Hervé Biellmann, S. Rael, M. Urbain, Pierre Beaufrère

引用次数: 2

What time-period aggregation method works best for power system operation models with renewables and storage? 什么样的时间段聚合方法最适合可再生能源和储能的电力系统运行模式?

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-09 DOI: 10.1109/SEST.2019.8849027

S. Wogrin, D. Tejada-Arango, S. Pineda, J. Morales

引用次数: 9

What is the cost of disregarding market feedback in transmission expansion planning? 在输电扩建规划中忽视市场反馈的成本是多少?

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-09 DOI: 10.1109/SEST.2019.8849107

Isaac-Camilo Gonzalez-Romero, S. Wogrin, T. Gómez

引用次数: 4

Reliability Enhancement of LV Rural Networks using Smart Grid Technologies 利用智能电网技术提高低压农村电网可靠性

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-09 DOI: 10.1109/SEST.2019.8849045

Maximilian L. Ellery, M. Ndawula, I. Hernando‐Gil

引用次数: 2

Primary and Secondary Control in Lossy Inverter-Based Microgrids 基于有损逆变器的微电网主、次控制

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-09 DOI: 10.1109/SEST.2019.8849028

Jonathan Hermann, B. Hammer, U. Konigorski

引用次数: 3

An Incentive-Based Settlement Mechanism for Participation of Flexible Demands in Day-ahead Markets 日前市场中灵活需求参与的激励结算机制

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849038

Shaghayegh Zalzar, E. Bompard

{"title":"An Incentive-Based Settlement Mechanism for Participation of Flexible Demands in Day-ahead Markets","authors":"Shaghayegh Zalzar, E. Bompard","doi":"10.1109/SEST.2019.8849038","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849038","url":null,"abstract":"The recent energy policy trends towards expanding the penetration of variable renewable energy sources in electricity generation sector brings about new short/long term challenges for operation/planning of power systems. Due to the significant variability and uncertainty of electricity production by these resources, system operators may require additional flexibility resources to continuously balance supply and demand and to preserve power system security under high penetration of renewables. In this paper, the participation of flexible demands in day-ahead market under high share of renewables (in particular wind generation) is modelled through a two-stage stochastic program which takes into account the day-ahead prediction error of wind production. Demand-side flexibility is modelled as load shifting capability, without affecting the total electricity demand per day. An incentive payment mechanism to settle the flexible demands in the day-ahead market is proposed which provides additional revenue for consumers and motivates them to provide flexibility. The incentive rate is set by the system operator, while the accepted consumers to receive this incentive are selected through the market mechanism, according to the additional value of the provided flexibility compared to the cost of providing the incentives. Finally, the maximum incentive which can be paid to flexibility providers under different levels of demand-side flexibility is investigated on the conceptual test case of this study.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127260217","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

Power Supply System with Power Plant on Solid Oxide Fuel Cells

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849148

E. Sosnina, A. Shalukho, I. Lipuzhin, L. Veselov, A. Shashkin

引用次数: 2

A stochastic approximation method for price-based assignment of Electric Vehicles to Charging Stations 基于价格的电动汽车充电站分配随机逼近方法

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849154

Georgios Tsaousoglou, Konstantinos Steriotis, Emmanouel Varvarigos

{"title":"A stochastic approximation method for price-based assignment of Electric Vehicles to Charging Stations","authors":"Georgios Tsaousoglou, Konstantinos Steriotis, Emmanouel Varvarigos","doi":"10.1109/SEST.2019.8849154","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849154","url":null,"abstract":"This paper considers a setting where a number of users want to drive their Electric Vehicles (EVs) to a certain geographical area, park them in a Charging Station (CS), and receive them fully charged upon departure. Each CS faces a number of constraints related to the power that it can provide. In order to serve its EVs, each CS solves an optimization problem to derive the charging schedule, so that no constraints are violated and the energy needs of the parked EVs are met. The motivating problem is that centrally located CSs become congested and users that arrive later can no longer be served. In order to tackle this problem we propose a method for the stochastic estimation of Charging Stations' shadow prices based on a dual decomposition method applied to offline simulations. Prices are determined so as to serve as many EVs as possible and minimize the social cost while satisfying their constraints and energy needs. The algorithm's performance was evaluated under a number of possible online scenarios and compared to a benchmark solution in terms of competitive ratio and number of EVs served.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553592","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