2022 IEEE 7th International Energy Conference (ENERGYCON)最新文献_第7页

Development of a Viable Black Start Restoration Pathway and Problem Formulation Sequence 可行的黑启动恢复路径和问题表述序列的开发

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830473

Ye-Obong N. Udoakah, H. B. Sonder, Jun Liang, L. Cipcigan

{"title":"Development of a Viable Black Start Restoration Pathway and Problem Formulation Sequence","authors":"Ye-Obong N. Udoakah, H. B. Sonder, Jun Liang, L. Cipcigan","doi":"10.1109/energycon53164.2022.9830473","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830473","url":null,"abstract":"The robustness of the power grid, which is normally deigned to meet “N-1 or N-2” criteria, is constantly being threatened as a result of frequent weather-related extreme events. The impact of such events on any country’s economy can be massive and hence certain measures must be put in place to either prevent or reduce such impacts to its barest minimum. The resilience nature of some distributed energy resources (DERs) has further enhanced its viability in most power grid applications today. The integration of DERs into the power grid, especially at the distribution level, has greatly changed the dynamics of the modern electricity system. The role of DER in the provision of black start services is the focus of this paper. Since the emerging power grid must be safeguarded against all forms of instability, which is most likely to result in a system collapse leading to a power blackout, a critical review of some outstanding blackout events of the last decade was carried out. Armed with this knowledge, a restoration strategy capable of improving the resiliency of the grid in the unlikely events of a blackout is presented in this work. The uniqueness of the developed black start restoration sequence is the real time coordination of the restoration process by the advanced distribution management system. Besides this, a black start restoration (BSR) problem formulation method which can be applied in distribution management system is presented. The formulated BSR problem was done as a dynamic optimisation problem.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123367122","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

Multiscale Data Analytics for Residential Active Power Measurements through Time Series Data Mining 基于时间序列数据挖掘的住宅有功功率测量多尺度数据分析

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830170

G. Stamatescu, Radu Plamanescu, A. Dumitrescu, Irina Ciomei, M. Albu

{"title":"Multiscale Data Analytics for Residential Active Power Measurements through Time Series Data Mining","authors":"G. Stamatescu, Radu Plamanescu, A. Dumitrescu, Irina Ciomei, M. Albu","doi":"10.1109/energycon53164.2022.9830170","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830170","url":null,"abstract":"Modern measurement and automation equipment for energy systems collect, store, process and communicate ever increasing quantities of raw data which can be used to build data-driven prediction and classification models. Directly using these large and unprocessed data sets can be inefficient especially in imbalanced class problems, where the positive class is sparsely represented in the training examples, such as classification of micro-scale transients. This is due to the longer time required for model training, and due to the increased possibility of obfuscating the useful information behind noisy readings. The matrix profile represents a computationally efficient and general purpose time series data mining technique which is suitable for embedded deployment in future generation smart meters, and in embedded energy gateways. Our analysis concerns the application of this technique on two types of residential electric power measurement data sets: a detached single family house and an apartment, with variable reporting rate and subsequence size parametrisation. Quantitative results support the findings that such approaches serve as practical instrument for measurement time series preprocessing in energy analytics.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219853","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

Incorporating Settling Time Constraints of Energy Storage Systems in Frequency Containment Control Optimization Problems 含频控制优化问题中储能系统沉降时间约束的研究

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830171

M. Krpan, M. Miletić, I. Kuzle, H. Pandžić

引用次数: 0

Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks 基于模糊决策的配电网电池储能管理节点电压指标研究

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830192

M. Barukčić, T. Varga, T. Benšić, V. J. Štil

{"title":"Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks","authors":"M. Barukčić, T. Varga, T. Benšić, V. J. Štil","doi":"10.1109/energycon53164.2022.9830192","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830192","url":null,"abstract":"This paper presents research on power management of a battery storage system (With the aim of reducing system losses) Without information about loads in a power distribution network with installed renewable energy sources and distributed generation. The poWer management of the storage system used in the research is based on a fuzzy inference system to define the input or output poWer of the battery storage system. The optimization procedure to determine the optimal parameters of the power management system is also provided. Except for the optimal allocation of the battery storage and distributed generation systems, the optimization of the parameters is performed along with the allocation optimization. The whole optimization problem is solved for the annual data of load and generation profiles of renewable sources using hourly values, i.e., the optimization is solved simultaneously for 8760 load and generation data. The optimization problem is solved by co-simulation using the metaheuristic optimization technique. Since the method is based on the use of fuzzy systems and metaheuristic optimization, it represents the implementation of computer intelligence for optimal allocation and energy management problems. The presented method is applied to the test distribution system IEEE with 37 nodes. The achieved reduction in annual energy losses is about 40 % of the losses in the power system without the distributed generation units and the battery storage system.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124967572","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

An experimental facility for latent heat thermal energy storage units 潜热蓄热装置的实验装置

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830278

Héctor Bastida, Amanda Younes, C. E. Ugalde-Loo, Rob Smart, M. Khaljani, N. Jenkins, Babar Baluch

引用次数: 0

Operation Orchestration of Local Energy Communities through Digital Twin: A Review on suitable Modeling and Simulation Approaches 基于数字孪生的地方能源社区运营协同:合适的建模与仿真方法综述

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830264

T. Nguyen-Huu, T. Tran, Minh-Quan Tran, P. Nguyen, J. Slootweg

引用次数: 4

The Role of the Flexibility Aggregator within the Flexibility Value Chain and Associated Research Needs 柔性聚合器在柔性价值链中的作用及相关研究需求

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830367

I. Ilieva, Olav Henrik Skonnord

引用次数: 0

Converter State-Space Model Estimation Using Dynamic Mode Decomposition 基于动态模态分解的变换器状态空间模型估计

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830201

P. Suskis, J. Zakis, A. Suzdalenko, H. V. Khang, A. Rassõlkin, T. Vaimann, Raimondas Pomarnacki

引用次数: 2

Adaptive Frequency Control Algorithm In Off-Grid Power System Based On Photovoltaic Diesel Hybrid System And Energy Storage 基于光伏柴油混合系统和储能的离网电力系统自适应频率控制算法

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830511

G. Nesterenko, D. Armeev, Dmitriy Gladkov, V. Zyryanov, Julia V. Mokrousova, A. Myachina

{"title":"Adaptive Frequency Control Algorithm In Off-Grid Power System Based On Photovoltaic Diesel Hybrid System And Energy Storage","authors":"G. Nesterenko, D. Armeev, Dmitriy Gladkov, V. Zyryanov, Julia V. Mokrousova, A. Myachina","doi":"10.1109/energycon53164.2022.9830511","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830511","url":null,"abstract":"The paper gives the principles of frequency control in off-grid power system based on autonomous hybrid power plant (AHPP). AHPP is intended for territories, which aren’t connected to the centralized electric power supply. Composition of power sources in AHPP includes traditional generators, renewable energy source (RES) and electric energy storage system (EESS). The control principles are designed for limitation frequency deviations in power system, providing the balanced use of the adjustable abilities of power sources. With consideration to the stated requirements and efficiency criteria, the frequency control algorithms, the AHPP control algorithm using energy sources of several types, and algorithm maintaining EESS state of charge during control have been developed. In order to analyze effectiveness of the algorithms, the mathematical model of off-grid power system based on AHPP has been developed in MATLAB/Simulink. AHPP includes diesel generators, solar power plant and EESS. Simulation of AHPP operation in power system with abruptly variable load has been conducted. The results of calculations performed using the model have proved effectiveness of developed control principles from the viewpoint of frequency control quality and maintenance of EESS state of charge during regulation process.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126048670","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

Experimental Validation of Thermal Monitoring Systems for Medium-Voltage Switchgears 中压开关设备热监测系统的实验验证

2022 IEEE 7th International Energy Conference (ENERGYCON) Pub Date : 2022-05-09 DOI: 10.1109/energycon53164.2022.9830246

Maurizio Zajadatz, M. Suriyah, T. Leibfried

引用次数: 0