2019 IEEE Milan PowerTech最新文献_第9页

Massive Integration of Wind Power at Distribution Level Supported by Battery Energy Storage Systems 电池储能系统支持的配电级风力发电大规模集成

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810509

J. Lujano-Rojas, J. A. Domínguez-Navarro, J. Yusta, G. Osório, M. Lotfi, C. João P. S.

{"title":"Massive Integration of Wind Power at Distribution Level Supported by Battery Energy Storage Systems","authors":"J. Lujano-Rojas, J. A. Domínguez-Navarro, J. Yusta, G. Osório, M. Lotfi, C. João P. S.","doi":"10.1109/PTC.2019.8810509","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810509","url":null,"abstract":"Integration of renewable generation in distribution systems aims to reduce consumption of energy from conventional sources such as coal and oil in order to minimize the negative impacts of the human ecological footprint. Massive incorporation of renewables can produce reverse power flow at distribution substations, which is against the operating philosophy and design of energy systems. To deal with this problem, the installation of a battery energy storage system (BESS) is proposed in this work. Incorporation of BESS at distribution substations can manage the excess of renewable power generation flowing in reverse, adding flexibility to the power system and allowing increased distributed generation capacity to be installed. Optimal sizing of vanadium redox flow batteries (VRFBs) is carried out by using golden section search algorithm considering capital costs as well as operating and maintenance costs over the project lifetime. The effectiveness of the proposed technique is evaluated through the analysis of a case study. A significant reduction of both reverse flow and the power to be supplied by the substation has been observed.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130639330","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

Day-ahead electricity market price forecasting using artificial neural network with spearman data correlation 基于spearman数据关联的人工神经网络日前电价预测

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810618

J. Nascimento, T. Pinto, Z. Vale

{"title":"Day-ahead electricity market price forecasting using artificial neural network with spearman data correlation","authors":"J. Nascimento, T. Pinto, Z. Vale","doi":"10.1109/PTC.2019.8810618","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810618","url":null,"abstract":"Electricity markets are complex environments with very dynamic characteristics. The large-scale penetration of renewable energy sources has brought an increased uncertainty to generation, which is consequently, reflected in electricity market prices. In this way, novel advanced forecasting methods that are able to predict electricity market prices taking into account the new variables that influence prices variation are required. This paper proposes a new model for day-ahead electricity market prices forecasting based on the application of an artificial neural network. The main novelty of this paper relates to the pre-processing phase, in which the relevant data referring to the different variables that have a direct influence on market prices such as generation, temperature, consumption, among others, is analysed. The association between these variables is performed using spearman correlation, from which results the identification of which data has a larger influence on the market prices variation. This pre-analysis is then used to adapt the training process of the artificial neural network, leading to improved forecasting results, by using the most relevant data in an appropriate way.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096025","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

New Planning for the 500kV Vietnamese Grid with High Penetration of Renewable Energy Sources 越南500kV可再生能源高渗透率电网新规划

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810879

M. Q. Duong, H. Nguyen, T. Le, M. Mussetta

引用次数: 3

Reactive Power Loop Flows in Transmission Grids 输电网中的无功环路流

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810444

M. Knittel, Nils Namockel, Maximilian Schneider, R. Puffer

引用次数: 0

Iteratively-Coupled Co-simulation Framework for Unbalanced Transmission-Distribution System 不平衡输配电系统的迭代耦合联合仿真框架

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810625

Gayathri Krishnamoorthy, A. Dubey, P. Sen

引用次数: 6

A Method for Sizing Centralised Energy Storage Systems Using Standard Patterns 一种使用标准模式确定集中式储能系统规模的方法

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810658

S. Karrari, Nicole Ludwig, V. Hagenmeyer, M. Noe

引用次数: 4

Considering local photovoltaic production in planning studies for low voltage distribution grids 考虑本地光伏生产的低压配电网规划研究

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810613

Ahmed Hadjsaid, V. Debusschere, M. Alvarez‐Herault, R. Caire

引用次数: 2

Optimal BESS Scheduling Strategy in Microgrids Based on Genetic Algorithms 基于遗传算法的微电网BESS调度优化策略

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810633

Dorian O. Sidea, L. Toma, Mihai Sănduleac, I. Picioroagă, V. Boicea

引用次数: 8

Electric Vehicles Charging Optimization Considering EVs and Load Uncertainties 考虑电动汽车和负载不确定性的电动汽车充电优化

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810538

L. Bitencourt, B. Dias, T. Abud, B. Borba, M. Fortes, R. S. Maciel

引用次数: 4

Power Hardware-in-the-Loop Setup for Developing, Analyzing and Testing Mode Identification Techniques and Dynamic Equivalent Models 用于开发、分析和测试模式识别技术和动态等效模型的电源硬件在环装置

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810772

E. O. Kontis, Angelos I. Nousdilis, G. Papagiannis, M. Syed, E. Guillo‐Sansano, G. Burt, T. Papadopoulos

{"title":"Power Hardware-in-the-Loop Setup for Developing, Analyzing and Testing Mode Identification Techniques and Dynamic Equivalent Models","authors":"E. O. Kontis, Angelos I. Nousdilis, G. Papagiannis, M. Syed, E. Guillo‐Sansano, G. Burt, T. Papadopoulos","doi":"10.1109/PTC.2019.8810772","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810772","url":null,"abstract":"During the last decades, a significant number of mode identification techniques and dynamic equivalent models have been proposed in the literature to analyze the dynamic properties of transmission grids and active distribution networks (ADNs). The majority of these methods are developed using the measurement-based approach, i.e., by exploiting dynamic responses acquired from phasor measurement units (PMUs). However, there is lack of a common framework in the literature for the performance evaluation of such methods under real field conditions. Aiming to address this gap, in this paper, a power hardware-in-the-loop setup is introduced to generate dynamic responses, suitable for the testing and validation of measurementbased mode identification techniques and dynamic equivalent models. The setup consists of a high voltage transmission grid, two medium voltage distribution grids as well as a low voltage ADN. Using this setup, several disturbances are emulated and the resulting dynamic responses are recorded using PMUs. The measurements are made available to other researchers through a public repository to act as benchmark responses for the evaluation of measurement-based methods.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126246245","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