Search Word(s) in Title, Keywords, Authors, and Abstract: Smart Grid

An Optimization Method for the Calculation of SCADA Main Grid's Theoretical Line Loss Based on DBSCAN
Hongyi Cao, Qiaomu Ren, Xiuguo Zou, Shuaitang Zhang and Yan Qian
Page: 1156~1170, Vol. 15, No.5, 2019
10.3745/JIPS.02.0119
Keywords: Boxplot Method, DBSCAN Clustering Algorithm, Main Grid, SCADA, Theoretical Line Loss
Show / Hide Abstract
In recent years, the problem of data drifted of the smart grid due to manual operation has been widely studied by researchers in the related domain areas. It has become an important research topic to effectively and reliably find the reasonable data needed in the Supervisory Control and Data Acquisition (SCADA) system has become an important research topic. This paper analyzes the data composition of the smart grid, and explains the power model in two smart grid applications, followed by an analysis on the application of each parameter in densitybased spatial clustering of applications with noise (DBSCAN) algorithm. Then a comparison is carried out for the processing effects of the boxplot method, probability weight analysis method and DBSCAN clustering algorithm on the big data driven power grid. According to the comparison results, the performance of the DBSCAN algorithm outperforming other methods in processing effect. The experimental verification shows that the DBSCAN clustering algorithm can effectively screen the power grid data, thereby significantly improving the accuracy and reliability of the calculation result of the main grid’s theoretical line loss.


Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics
Young Gon Kim, Dong Hoon Kim and Eun-Kyu Lee
Page: 1487~1495, Vol. 13, No.6, 2017
10.3745/JIPS.01.0020
Keywords: Converged IT Service, Cyber-Physical System, Energy Dynamics, Energy Storage System, Microgrid, Test Method, Smart Grid
Show / Hide Abstract
With increasing interests in renewables, more consumers are installing an energy storage system (ESS) in their backyards, and thus, the ESS will play a critical role in the emerging smart grid. Due to mechanical properties, however its operational dynamics must be well understood before connecting the ESS to the smart grid (and eventually to an IT system). To this end, we investigate charging and discharging processes in detail. This paper, then, proposes methods for four type tests (state of charge test, conversion efficiency test, response time test, and ramp rate test) that can assess the dynamics of the ESS. The proposed methods can capture accurate delay values of mechanical processes in the ESS, and it is expected for those values to help design real-time communication systems in the smart grid involving the ESS.


Energy Consumption Scheduling in a Smart Grid Including Renewable Energy
Nadia Boumkheld, Mounir Ghogho and Mohammed El Koutbi
Page: 116~124, Vol. 11, No.1, 2015
10.3745/JIPS.03.0022
Keywords: Demand Response, Energy Management, Energy Scheduling, Optimization
Show / Hide Abstract
Smart grids propose new solutions for electricity consumers as a means to help them use energy in an efficient way. In this paper, we consider the demand-side management issue that exists for a group of consumers (houses) that are equipped with renewable energy (wind turbines) and storage units (battery), and we try to find the optimal scheduling for their home appliances, in order to reduce their electricity bills. Our simulation results prove the effectiveness of our approach, as they show a significant reduction in electricity costs when using renewable energy and battery storage.