scholarly journals Principal Component Analysis of Price Fluctuation in the Smart Grid Electricity Market

2018 ◽  
Vol 10 (11) ◽  
pp. 4019 ◽  
Author(s):  
Kun Li ◽  
Joseph Cursio ◽  
Yunchuan Sun
Keyword(s):  
Principal Component Analysis ◽  
Smart Grid ◽  
Transmission Lines ◽  
Electricity Market ◽  
Principal Component ◽  
Grid System ◽  
Price Fluctuations ◽  
Electricity System ◽  
Smart Grid System ◽  
The Impact

Large price fluctuations have become a significant character and impede resource allocation in the electricity market. Negative prices and peak load spike prices coexist and represent over-supply and over-demand, respectively. It is important to interpret the impact of these extreme prices on sustainable power management from the perspective of economics. In this paper, we build a principal component analysis (PCA) to assess the impact of the two opposite phenomena on the smart grid electricity system. We perform a big-data study using intra-day data from the Pennsylvania, New Jersey, and Maryland (PJM) electricity system with over 11,000 transmission lines. As the contribution, this paper (1) measures the price fluctuations from the perspective of economics, (2) captures and observes the full-length behavior of negative and spike pricing in a modern smart grid system with multi-transmission lines and high-frequency price updates, and (3) employs methods with distinctive advantages to bring more in-depth findings to interpret the smart grid system. We find that spike prices hold the principal explanatory power for electricity market fluctuation in all the transmission lines. The results are consistent with previous studies about resolutions such as electrical energy storage, transmission capacity upgrade, and demand response.

scholarly journals Electricity and economic valuation of smart grid system on Nusa Penida electricity market

2021 ◽  
Vol 1098 (4) ◽  
pp. 042071
Author(s):  
E Ruth ◽  
N Nurmela ◽  
Y Mulyadi ◽  
S Sasmono
Keyword(s):  
Smart Grid ◽  
Electricity Market ◽  
Economic Valuation ◽  
Grid System ◽  
Smart Grid System

Evaluation of the Aging Behavior of High Density Polyethylene in Thermal Oxidative Environment by Principal Component Analysis

2017 ◽  
Vol 727 ◽  
pp. 447-449 ◽  
Author(s):  
Jun Dai ◽  
Hua Yan ◽  
Jian Jian Yang ◽  
Jun Jun Guo
Keyword(s):  
Principal Component Analysis ◽  
Impact Strength ◽  
High Density Polyethylene ◽  
Tensile Modulus ◽  
Principal Component ◽  
Component Analysis ◽  
High Density ◽  
Aging Behavior ◽  
Data Set ◽  
The Impact

To evaluate the aging behavior of high density polyethylene (HDPE) under an artificial accelerated environment, principal component analysis (PCA) was used to establish a non-dimensional expression Z from a data set of multiple degradation parameters of HDPE. In this study, HDPE samples were exposed to the accelerated thermal oxidative environment for different time intervals up to 64 days. The results showed that the combined evaluating parameter Z was characterized by three-stage changes. The combined evaluating parameter Z increased quickly in the first 16 days of exposure and then leveled off. After 40 days, it began to increase again. Among the 10 degradation parameters, branching degree, carbonyl index and hydroxyl index are strongly associated. The tensile modulus is highly correlated with the impact strength. The tensile strength, tensile modulus and impact strength are negatively correlated with the crystallinity.

Analysing the efficient use of energy in a small smart grid system

2012 ◽  
Author(s):  
Ilhami Colak ◽  
Heinz Wilkening ◽  
Gianluca Fulli ◽  
Julija Vasiljevska ◽  
Fatih Issi ◽  
...  
Keyword(s):  
Smart Grid ◽  
Grid System ◽  
Smart Grid System

scholarly journals Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System

Energies ◽  
2013 ◽  
Vol 6 (12) ◽  
pp. 6608-6635 ◽  
Author(s):  
Naveed Hassan ◽  
Muhammad Pasha ◽  
Chau Yuen ◽  
Shisheng Huang ◽  
Xiumin Wang
Keyword(s):  
Smart Grid ◽  
Grid System ◽  
On Demand ◽  
Smart Grid System ◽  
Demand Profile

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

2013 ◽  
Vol 291-294 ◽  
pp. 2381-2386 ◽  
Author(s):  
Wen Xia Liu ◽  
Ji Kai Xu ◽  
Hong Yuan Jiang ◽  
Yong Tao Shen
Keyword(s):  
Principal Component Analysis ◽  
Transmission Lines ◽  
Principal Component Regression ◽  
Principal Component ◽  
Forecasting Accuracy ◽  
Factors Affecting ◽  
Reliability Parameters ◽  
Impacting Factors ◽  
Simulation Results

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

scholarly journals Energy management for the industrial sector in smart grid system

2020 ◽  
Vol 6 ◽  
pp. 1432-1442
Author(s):  
Amam Hossain Bagdadee ◽  
Muhammad Aurangzeb ◽  
Sajid Ali ◽  
Li Zhang
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Industrial Sector ◽  
Grid System ◽  
Smart Grid System
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