2019 International Conference on Smart Energy Systems and Technologies (SEST)最新文献_第8页

Consensus-Based Coordination of Time-Shiftable Flexible Demand 基于共识的时变弹性需求协调

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849136

Jing Li, Yujian Ye, D. Papadaskalopoulos, G. Strbac

引用次数: 3

Aggregate Modeling of Distribution System with Multiple Smart Inverters 多智能逆变器配电系统的聚合建模

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849085

Hiroshi Kikusato, T. Ustun, J. Hashimoto, K. Otani

{"title":"Aggregate Modeling of Distribution System with Multiple Smart Inverters","authors":"Hiroshi Kikusato, T. Ustun, J. Hashimoto, K. Otani","doi":"10.1109/SEST.2019.8849085","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849085","url":null,"abstract":"High penetration of renewable energy based distributed generators is a common goal for many electricity companies. While providing clean and cheap energy on the one hand, these active components create unprecedented problems in the grid. Arguably the most prominent one is causing unacceptable voltage rises due to power injection. Traditional solution is to cap the renewable energy generation. This turns into a double loss as the available energy is not captured and the installed equipment is not fully utilized. Introduction of smart inverters is aimed at solving these intertwined concepts. Impact of smart inverters on the distribution network operation has been recently reported in the literature. However, multiple smart inverter operation where several devices try to influence the power flow has not been thoroughly investigated. This paper focuses on analyzing the operation of several smart inverters that are running in Volt-Var mode and are connected to the same distribution feeder. Furthermore, considering the number of roof-top PVs in neighborhoods and the difficulty in simulating the individually, a simplification method is developed. In this fashion, multiple smart inverters operating in the same feeder are modeled in an aggregated way for easier calculation. Finally, simulation results are presented for analysis and validation.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"90 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":"115070200","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

Optimal Scheduling Method of Community Microgrid with Customer-owned Distributed Energy Storage System 客户拥有分布式储能系统的社区微电网优化调度方法

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849149

Hyung-Chul Jo, Jong-Yul Kim, G. Byeon, Seul-Ki Kim

{"title":"Optimal Scheduling Method of Community Microgrid with Customer-owned Distributed Energy Storage System","authors":"Hyung-Chul Jo, Jong-Yul Kim, G. Byeon, Seul-Ki Kim","doi":"10.1109/SEST.2019.8849149","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849149","url":null,"abstract":"As the penetration of renewable energy resources in power systems increases, high voltage (HV) power systems require solutions that solve the problems regarding supply and demand balance caused by these resources. Community microgrids can provide a viable solution to this problem by providing flexibility service to the HV power system. This study presents an optimal scheduling method of community microgrids with distributed energy storage systems (DESSs) under the circumstance providing flexibility service. Providing the flexibility service is achieved by controlling the power purchased from the external grid and mitigating the variability of the microgrid's net load. DESS is considered as non-controllable DER in this paper. A customer DESS (CDESS) market scenario, based on a price signal market model, is proposed to consider DESS in the microgrid operation. The proposed method is divided into the controllable DER scheduling method, considering the variability of net load, and the CDESS market operation method. Numerical simulations are carried out to demonstrate the effectiveness of the proposed method.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"78 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":"129399809","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

Classification of Buildings Energetic Performance Using Artificial Immune Algorithms 基于人工免疫算法的建筑节能性能分类

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849140

J. P. Alves, J. N. Fidalgo

{"title":"Classification of Buildings Energetic Performance Using Artificial Immune Algorithms","authors":"J. P. Alves, J. N. Fidalgo","doi":"10.1109/SEST.2019.8849140","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849140","url":null,"abstract":"The building sector is responsible for a large share of Europe's energy consumption. Modelling buildings thermal behavior is a key factor for achieving the EU energy efficiency goals. Moreover, it can be used in load forecasting applications, for the prediction of buildings total energy consumption. The first phase of this work is the application of Artificial Immune Systems (AIS) for clustering buildings with similar physical characteristics and similar thermal efficiency. In the second phase, Artificial Neural Networks (ANN) are used to estimate the buildings heating and cooling loads. A final sensitivity test is performed to identify which building features have the most impact on the heating and cooling loads. The results obtained in the first phase revealed very distinct cluster prototypes, which demonstrates the AIS discriminating ability. The good estimation performance obtained in the second phase showed that this approach can be integrated in energy efficiency audits. Finally, the sensitivity analysis provided indications for actions (or legislation directives) in order to promote the design of more efficient buildings.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"41 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":"133794952","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

Local coordinated control of heat pumps and PV systems in residential distribution grids 住宅配电网中热泵与光伏系统的局部协调控制

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849029

Panagiotis Damianos Cheilas, Rakesh Sinha, J. Pillai

引用次数: 0

Information Gap Decision Theory-Based Approach for Modeling Operation Problem of a Grid-Connected Micro-Grid With Uncertainties 基于信息缺口决策理论的不确定并网微电网运行问题建模方法

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849076

S. Bahramara, Ramyar Mafakheri, P. Sheikhahmadi, M. Lotfi, J. Catalão

{"title":"Information Gap Decision Theory-Based Approach for Modeling Operation Problem of a Grid-Connected Micro-Grid With Uncertainties","authors":"S. Bahramara, Ramyar Mafakheri, P. Sheikhahmadi, M. Lotfi, J. Catalão","doi":"10.1109/SEST.2019.8849076","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849076","url":null,"abstract":"Distributed energy resources (DERs) change the supply-demand balance of power systems. To better manage these resources, they are operated as micro-grids (MGs) in both grid-connected and standalone modes. In the presence of MGs, the decision making framework in power systems is changing from the centralized structure into the decentralized one. In such framework, modeling the operation problem of MGs with the participation in energy and reserve markets in the presence of uncertainties is considered as an important challenge. Most of the studies use probability distribution functions (PDFs) to model the uncertain parameters. In this paper, the operation problem of a grid-connected MG is modeled while the MG operator (MGO) faces with uncertainties of renewable energy sources (RESs) without considering their PDFs. For this purpose, an information gap decision theory (IGDT)-based approach is employed to model the uncertain behavior of RESs as well as to control the risk level of the MGO on the optimal scheduling of DERs. To investigate the effectiveness of the model, a modified 15-bus low voltage MG us used as a test system. The results show that optimal decisions of the risk-averse MGO are different from those of a risky one.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 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":"130340505","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

Optimal Energy Management and Scheduling of a Microgrid in Grid-Connected and Islanded Modes 并网与孤岛模式下微电网的最优能量管理与调度

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849121

L. Zacharia, L. Tziovani, M. Savva, L. Hadjidemetriou, E. Kyriakides, A. Bintoudi, A. Tsolakis, D. Tzovaras, J. Martínez-Ramos, A. Marano, B. Azzopardi, N. Martensen, M. Khiat, A. Onen, S. Al-Agtash

引用次数: 15

Development, implementation and evaluation of a wireless sensor network and a web-based platform for the monitoring and management of a microgrid with renewable energy sources 开发、实施和评估用于监测和管理可再生能源微电网的无线传感器网络和基于网络的平台

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849016

E. Lopez, J. Monteiro, Pablo Carrasco, J. Saenz, Nelson Pinto, Gonzalo Blázquez

引用次数: 7

Impact of different central path neighborhoods on gross error identification in State Estimation with generalized correntropy interior point method 不同中心路径邻域对广义熵内点法状态估计粗误差辨识的影响

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849155

H. Moayyed, Shabnam Pesteh, Vladimiro Miranda, J. Pereira

引用次数: 1

Visualising high-resolution energy maps through the exploratory analysis of energy performance certificates 通过对能源绩效证书的探索性分析，可视化高分辨率能源地图

2019 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2019-09-01 DOI: 10.1109/SEST.2019.8849061

T. Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, D. Mazzarelli, Andrea Nasso, Elena Baralis, M. Mellia, Silvia Casagrande, Martina Tamburini

{"title":"Visualising high-resolution energy maps through the exploratory analysis of energy performance certificates","authors":"T. Cerquitelli, Evelina Di Corso, Stefano Proto, Alfonso Capozzoli, D. Mazzarelli, Andrea Nasso, Elena Baralis, M. Mellia, Silvia Casagrande, Martina Tamburini","doi":"10.1109/SEST.2019.8849061","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849061","url":null,"abstract":"This paper presents a new data mining engine, named EXTREMA (EXploitation of Turin high Resolution Energy MAps), to automatically visualise high-resolution energy maps exploring interesting and human-readable knowledge items from large collections of EPCs. EXTREMA, developed in Python, generates geo-located maps to summarise the main relationships among variables affecting the energy efficiency of buildings at different spatial granularity levels. The visualised knowledge is discovered through a two-level data analytics methodology based on exploratory and unsupervised algorithms. First an unsupervised algorithm divides EPCs into homogeneous groups of buildings with similar thermo-physical characteristics. Each group is then locally characterised through interesting patterns to concisely represent each group. The experimental evaluation, performed on a real dataset collected in a major Italian city in North-West Italy, demonstrates the effectiveness of EXTREMA in extracting and graphically display on geo-located multivariate energy maps a manageable set of human-readable knowledge items.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 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":"115883564","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