scholarly journals Data-Driven Evaluation for Demand Flexibility of Segmented Electric Vehicle Chargers in the Korean Residential Sector

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 866
Author(s):  
Keon Baek ◽  
Sehyun Kim ◽  
Eunjung Lee ◽  
Yongjun Cho ◽  
Jinho Kim
Keyword(s):  
Data Analysis ◽  
Electric Vehicle ◽  
Demand Characteristic ◽  
Time Interval ◽  
Renewable Energy Resources ◽  
Characteristic Analysis ◽  
Residential Sector ◽  
Customer Group ◽  
Novel Approach ◽  
Flexibility Measures

The rapid spread of renewable energy resources has increased need for demand flexibility as one of the solutions to power system imbalance. However, to properly estimate the demand flexibility, demand characteristics must be analyzed first and the corresponding flexibility measures must be validated. Thus, in this study, a novel approach is proposed to evaluate the demand flexibility provided by Electric Vehicle Chargers (EVC) in the residential sector based upon a new process of electric charging demand characteristic data analysis. The proposed model estimates the frequency, consistency, and operation scores of the flexible demand resource (FDR) during identified ramp-up/down intervals presented in our previous work. The scores are included in the components that calculate the flexibility score referring that the closer it is to 1, the higher utilization as an FDR. A case study was conducted by considering EV user segmentation based on their demand characteristic analysis. The results confirm that flexibility scores of segmented EVC groups are about 0.0273 in ramp-up and ramp-down intervals. Based on the experimental results, the flexibility score can be utilized for multi-dimensional analysis and verification in perspectives of seasonality, participation time interval, customer group classification, and evaluation. Thus, the proposed method can be used as an indicator to determine how a segmented EVC group is adequate to participate as an FDR while suggesting meaningful implications through EVC demand data analysis.

scholarly journals A New Peak-Shaving Model Based on Mixed Integer Linear Programming with Variable Peak-Shaving Order

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 887
Author(s):  
Xianliang Cheng ◽  
Suzhen Feng ◽  
Yanxuan Huang ◽  
Jinwen Wang
Keyword(s):  
Linear Programming ◽  
Power Systems ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Time Interval ◽  
Renewable Energy Resources ◽  
Load Curve ◽  
Peak Shaving ◽  
Model Based

Peak-shaving is a very efficient and practical strategy for a day-ahead hydropower scheduling in power systems, usually aiming to appropriately schedule hourly (or in less time interval) power generations of individual plants so as to smooth the load curve while enforcing the energy production target of each plant. Nowadays, the power marketization and booming development of renewable energy resources are complicating the constraints and diversifying the objectives, bringing challenges for the peak-shaving method to be more flexible and efficient. Without a pre-set or fixed peak-shaving order of plants, this paper formulates a new peak-shaving model based on the mixed integer linear programming (MILP) to solve the scheduling problem in an optimization way. Compared with the traditional peak-shaving methods that need to determine the order of plants to peak-shave the load curve one by one, the present model has better flexibility as it can handle the plant-based operating zones and prioritize the constraints and objectives more easily. With application to six cascaded hydropower reservoirs on the Lancang River in China, the model is tested efficient and practical in engineering perspective.

Investigating the effects of operators on warranty cost under sales delay conditions

2018 ◽  
Vol 24 (2) ◽  
pp. 244-259
Author(s):  
Sepideh Eskandari Dorabati ◽  
Ali Zeinal Hamadani ◽  
Hamed Fazlollahtabar
Keyword(s):  
Data Analysis ◽  
Design Methodology ◽  
Claims Data ◽  
Time Interval ◽  
Content Type ◽  
Proposed Model ◽  
Warranty Cost ◽  
Warranty Costs ◽  
Warranty Claims ◽  
Claims Data Analysis

Purpose Due to the fact that the non-standard products, being used by customers, may cause failures in products with sales delays, which naturally affect the warranty policy. Thus, it seems to be necessary to study these two concepts simultaneously. The paper aims to discuss these issues. Design/methodology/approach In this paper, a model is developed for estimating the expected warranty costs under sales delay conditions when two operator costs (failing but not reported and non-failing but reported) are included. Findings The proposed model is validated using a numerical example for a two types of intermittent and fatal failures occur under a non-renewing warranty policy. Originality/value Sales delay is the time interval between the date of production and the date of sale. Most reported literature on warranty claims data analysis related to sales delay have mainly focussed on estimating the probability distribution of the sales delay.

Assessment of Plug-in Hybrid Electric Vehicle (HEVs) Through Big Data Analysis

2021 ◽  
pp. 107-137
Author(s):  
Vikas Khare ◽  
Cheshta J. Khare ◽  
Savita Nema ◽  
Prashant Baredar
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Big Data Analysis ◽  
Hybrid Electric

K2: A Novel Data Analysis Framework to Understand US Emotions in Space and Time

2019 ◽  
Vol 13 (01) ◽  
pp. 111-133
Author(s):  
Romita Banerjee ◽  
Karima Elgarroussi ◽  
Sujing Wang ◽  
Akhil Talari ◽  
Yongli Zhang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Negative Emotion ◽  
Time Interval ◽  
Temporal Data ◽  
Analysis Framework ◽  
Spatial Clusters ◽  
Change Analysis ◽  
Spatio Temporal ◽  
Temporal Data Analysis ◽  
Very High

Twitter is one of the most popular social media platforms used by millions of users daily to post their opinions and emotions. Consequently, Twitter tweets have become a valuable knowledge source for emotion analysis. In this paper, we present a new framework, K2, for tweet emotion mapping and emotion change analysis. It introduces a novel, generic spatio-temporal data analysis and storytelling framework that can be used to understand the emotional evolution of a specific section of population. The input for our framework is the location and time of where and when the tweets were posted and an emotion assessment score in the range [Formula: see text], with [Formula: see text] representing a very high positive emotion and [Formula: see text] representing a very high negative emotion. Our framework first segments the input dataset into a number of batches with each batch representing a specific time interval. This time interval can be a week, a month or a day. By generalizing existing kernel density estimation techniques in the next step, we transform each batch into a continuous function that takes positive and negative values. We have used contouring algorithms to find the contiguous regions with highly positive and highly negative emotions belonging to each member of the batch. Finally, we apply a generic, change analysis framework that monitors how positive and negative emotion regions evolve over time. In particular, using this framework, unary and binary change predicate are defined and matched against the identified spatial clusters, and change relationships will then be recorded, for those spatial clusters for which a match occurs. We also propose animation techniques to facilitate spatio-temporal data storytelling based on the obtained spatio-temporal data analysis results. We demo our approach using tweets collected in the state of New York in the month of June 2014.

Electric Vehicle Charging Battery Swap Station Harmonic Generation and Hazard Control

2012 ◽  
Vol 608-609 ◽  
pp. 1022-1027
Author(s):  
Jie Jin ◽  
Rong Yi Niu ◽  
Dong Liang Gong ◽  
Yan Jin
Keyword(s):  
Data Analysis ◽  
Electric Vehicle ◽  
Harmonic Generation ◽  
Control Method ◽  
Harmonic Control ◽  
Electric Vehicle Charging ◽  
Harmonic Content ◽  
Hazard Control ◽  
Treatment Data ◽  
Vehicle Charging

Analysis of harmonic generation and hazards of electric vehicle charging/ battery swap station, suitable harmonic control method was proposed. Introduced new low-harmonic charger applications, the calculation of the harmonic content, the harmonic treatment data analysis.

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