2019 International Conference on Smart Energy Systems and Technologies (SEST)最新文献_第7页

Stochastic Demand Side Management in European Zonal Price Market 欧洲区域价格市场的随机需求侧管理

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849050

S. Talari, D. Mende, David Sebastian Stock, M. Shafie‐khah, J. Catalão

{"title":"Stochastic Demand Side Management in European Zonal Price Market","authors":"S. Talari, D. Mende, David Sebastian Stock, M. Shafie‐khah, J. Catalão","doi":"10.1109/SEST.2019.8849050","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849050","url":null,"abstract":"In this paper, demand-side management (DSM) is performed through demand response aggregators (DRAs) in an uncertain environment within zonal price market framework. The proposed scheme aims to allow cross-border electricity trading and optimize interconnections usage as well as to obtain optimum DR volume from the perspective of the Market Coupling Operator (MCO). The market consists of several zonal price markets as Nominated Electricity Market Operators (NEMO) who run their day-ahead and balancing market internally and communicate the information to the MCO to provide the cooperation with other NEMOs. To this end, a stochastic two-stage model is formulated in which the total operation cost from MCO's viewpoint is minimized. Accordingly, the model aims to consider day-ahead decisions in the first stage and balancing decisions in the second stage. Furthermore, the intermittent nature of renewable sources generation is handled by scenario generation with Monte-Carlo Simulation (MCS) method. NEMOs are physically connected as radial network. Therefore, all relative network constraints are taken into account as a linear power flow for radial networks. The results of the implementation of the proposed model demonstrate the effectiveness of various DR biddings on hourly DR volume, hourly DR cost and power exchange between different NEMOS.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"14 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":"131761172","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

Enhancing Distribution Network Indices Using Electric Spring under Renewable Generation Permission 可再生能源发电许可下用电弹簧提高配电网指标

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849120

Mohammadali Norouzi, J. Aghaei, S. Pirouzi

引用次数: 18

Flywheel-based Micro Energy Grid for Reliable Emergency Back-up Power for Nuclear Power Plant 基于飞轮的核电站可靠应急备用微能源网

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849063

Muhammad R. Abdussami, H. Gabbar

{"title":"Flywheel-based Micro Energy Grid for Reliable Emergency Back-up Power for Nuclear Power Plant","authors":"Muhammad R. Abdussami, H. Gabbar","doi":"10.1109/SEST.2019.8849063","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849063","url":null,"abstract":"The Emergency Power Supply (EPS) is an inevitable part for the reliability of a Nuclear Power Plant (NPP). In case of failure of the power supply to electrical equipment in the NPP, the backup EPS plays a vital role. This paper proposes an innovative approach, with Flywheel-based Fast Charging Station (FFCS) along with Micro Energy Grid (MEG), to confirm the continuous power supply to the electrical system during the emergency in NPP. The paper focuses on the emergency diesel generator and battery system, which are connected to the Class III and Class I power of the NPP respectively for emergency purpose. The proposed model will eliminate the drawbacks of the battery system and the diesel generator. The MEG can operate in both mode; grid-connected mode (normal mode) and islanded mode (emergency mode). In normal mode, the electricity will be generated, stored in the main grid via an energy storage system or supplied to the consumer end. Under the emergency condition, the MEG will be disconnected from the main grid and will be connected to the FFCS depending on the requirements. The simulation results intend to show the novelty of the proposed model.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"6 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":"130612138","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

Dynamic Operation of a Storage Power Plant (SPP) with Voltage Angle Control as Ancillary Service 以电压角控制为辅助服务的储能电站动态运行研究

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849141

Paul Gerdun, N. Ahmed, Vinaykumar Vernekar, Martin Töpfer, H. Weber

{"title":"Dynamic Operation of a Storage Power Plant (SPP) with Voltage Angle Control as Ancillary Service","authors":"Paul Gerdun, N. Ahmed, Vinaykumar Vernekar, Martin Töpfer, H. Weber","doi":"10.1109/SEST.2019.8849141","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849141","url":null,"abstract":"It is expected that in the near future, the electrical power supply networks will be significantly revolutionized. Today's conventional power plant structures will give way to a novel, inertia independent (free from rotating masses) power plant system. Such power stations, called storage power plants, will possess storages for different generation speed together with power electronic converters. They will be able to integrate and store energy from renewable sources. Since such a system will not possess any flywheels or rotating masses, thus frequency control as utilized in conventional power plants will be redundant. All the control principles necessary involving spinning reserve, primary and secondary control depending on frequency will be substituted by a comprehensive angle control of the nodal voltages in the transmission and distribution network. However, to be deemed truly feasible, these storage power plants must be able to function efficiently when they are integrated with conventional power plants and renewable energy sources. Thus, in this paper, these power plants are connected with conventional thermal and hydroelectric power stations as well as wind power plants, in a single network, and their dynamic behavior is studied under nodal voltage angle control as the ancillary service.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"290 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":"114952652","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: 5

Control of Energy Storage and Photovoltaic Systems using Model Predictive Control 基于模型预测控制的储能与光伏系统控制

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849099

Mario Useche Arteaga, A. Ruiz, M. Rivera

引用次数: 2

Optimal microgrid operation considering battery degradation using stochastic dual dynamic programming 考虑电池退化的随机双动态规划微电网优化运行

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849150

Per Aaslid, M. Belsnes, O. Fosso

引用次数: 10

Assessing the Economics of Residential Electricity Tariff Selection 住宅电价选择的经济性评估

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849143

Frederik vom Scheidt, P. Staudt, Christof Weinhardt

{"title":"Assessing the Economics of Residential Electricity Tariff Selection","authors":"Frederik vom Scheidt, P. Staudt, Christof Weinhardt","doi":"10.1109/SEST.2019.8849143","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849143","url":null,"abstract":"As residential customers become a more integral part of the electricity system the importance of electricity tariffs increases. The widespread adoption of new, economically efficient tariffs for residential customers can yield substantial system benefits. However, in liberalized electricity markets tariffs are selected by each individual household. System-beneficial tariffs do not necessarily bring private benefits for each household. Therefore, it is important to enable households to make well-informed decisions about which tariff to select. Assistance for such decisions can come from adequate Decision Support Tools which have been called for from the European Commission. To this end we design a set of six tariffs, based on empirical data: four different time-of-use (TOU) tariffs, one real-time pricing (RTP) tariff, and a benchmark tariff with a flat, invariant price (Flat). Applying the tariffs to a consumption data set of more than 100,000 customers we find that for a small share of customers electricity bills vary substantially under different tariffs. We present and evaluate a naive approach which recommends an annual tariff to each household, based on information from one month. We find that the performance of this naive classifier differs strongly between tariffs. Finally, we assess the economic consequences of false tariff selection and find that overall economic risks are highest for the RTP tariff.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"15 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":"131224173","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

Co-Simulation Architecture: A Tool to Enable the State Estimator Application in Smart Grid Environment 联合仿真体系结构:一种实现状态估计器在智能电网环境下应用的工具

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849025

Luis F. Ugarte, Fransk A. Puma, M. D. de Almeida

引用次数: 1

Optimal Operation of Nearly Zero Energy Buildings using Mixed Integer Linear Programming 基于混合整数线性规划的近零能耗建筑优化运行

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849083

Sasan Rafii-Tabrizi, J. Hadji-Minaglou, F. Scholzen, F. Capitanescu

{"title":"Optimal Operation of Nearly Zero Energy Buildings using Mixed Integer Linear Programming","authors":"Sasan Rafii-Tabrizi, J. Hadji-Minaglou, F. Scholzen, F. Capitanescu","doi":"10.1109/SEST.2019.8849083","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849083","url":null,"abstract":"This paper proposes a deterministic mixed integer linear programming model for the optimal operation of an energy system providing thermal and electrical energy for a residential and commercial nearly zero energy building. The space heating and space cooling demand of the buildings is simulated using a resistive-capacitive model within a quadratic program respectively. Thermal energy for space heating, space cooling and domestic hot water is buffered in thermal energy storage systems. A dual source heat pump provides thermal energy for space heating and domestic hot water, whereas space cooling is covered by an underground ice storage. The environmental energy sources of the heat pump are ice storage or wind infrared sensitive collectors. The collectors are further used to regenerate the ice storage. Further space heating demands are covered by a combined heat and power unit, which also produces electricity. Photovoltaic panels produce electrical energy which can be stored in a battery storage system. The electrical energy system is capable of selling and buying electricity from the public power grid. A mixed integer linear programming model is developed to minimise the operation cost of the combined commercial and residential nearly zero energy building over a scheduling horizon of 24h. The developed model is tested on two typical days, which are representative for the summer and winter season. Furthermore, it is investigated how external incentives such as varying electricity prices impact the optimal scheduling of the energy system.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"2 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":"130274049","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

Optimal Day-Ahead Scheduling of the Renewable Based Energy Hubs Considering Demand Side Energy Management 考虑需求侧能源管理的可再生能源枢纽最优日前调度

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849131

M. Daneshvar, B. Mohammadi-ivatloo, S. Asadi, K. Zare, A. Anvari‐Moghaddam

{"title":"Optimal Day-Ahead Scheduling of the Renewable Based Energy Hubs Considering Demand Side Energy Management","authors":"M. Daneshvar, B. Mohammadi-ivatloo, S. Asadi, K. Zare, A. Anvari‐Moghaddam","doi":"10.1109/SEST.2019.8849131","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849131","url":null,"abstract":"In recent decades, the rising penetration of various types of distributed energy resources has made interactions between all types of energy inevitable. In this respect, energy hubs are created with the aim of considering the interactions between multi-carrier energy systems throughout the smart grids. In this research, optimal scheduling of the multi-energy hubs is considered in the day-ahead market with the aim of minimizing the energy hub's cost. Because of the high usage of the clean energy production potential by employing the wind turbines and PV panels at each energy hub, the proposed model will mitigate the greenhouse gas emissions through reducing the operation of the gas-fired systems over the scheduling horizon. The combined cooling/heating and power system is also used as a backup unit for the stochastic producers to ensure energy supply with minimum load shedding. Moreover, electrical and thermal energy storage devices are also employed for storing energy during time intervals when there is a large amount of clean and free energy production. The Monte-Carlo simulation approach is used for modeling the uncertain behaviors of the stochastic producers and fast forward selection method is also used for the scenario reduction process. The flexibility of the energy demand is also investigated using demand response programs. In order to validate the effectiveness of the proposed model, IEEE 10-bus standard test system integrated with distributed energy resources is used. Simulation results demonstrate the applicability and usefulness of the proposed model in the energy management of multi energy hubs.","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":"131345215","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: 27