Application of Smart Grid Technology in the Coalmine Power System

2013 ◽  
Vol 441 ◽  
pp. 236-239
Author(s):  
Zhan Jun Gao ◽  
Jun Shan Wang
Keyword(s):  
Power System ◽  
Automatic Regulation ◽  
Differential Protection ◽  
Auxiliary Equipment ◽  
Intelligent Monitoring ◽  
Scada System ◽  
Data Platform ◽  
Protection Technology ◽  
And Control ◽  
Smart Grid Technology

According to the problems emerged in the coalmine power system, such as poor reliability and lagging protection technology principles, this paper proposed some advices about the construction of the intelligent coalmine power system. Using SCADA system and GIS to locate the fault and recovery it; using Differential protection and intelligent monitoring terminal to guarantee the reliability of the coalmine power system; using Panoramic Data Platform to monitor the coalmine power system; using a series of auxiliary equipment to realize the automatic regulation and control of the coalmine power system.

scholarly journals An Adaptive Differential Protection and Fast Auto-Closing System for 10 kV Distribution Networks Based on 4G LTE Wireless Communication

2019 ◽  
Vol 12 (1) ◽  
pp. 2 ◽  
Author(s):  
Wen An ◽  
Jun Jie Ma ◽  
Hong Yang Zhou ◽  
Hong Shan Chen ◽  
Xu Jun ◽  
...  
Keyword(s):  
Control System ◽  
Wireless Communication ◽  
Power System ◽  
Power Supply ◽  
Distribution Networks ◽  
Fault Isolation ◽  
Differential Protection ◽  
Current Differential Protection ◽  
Protection And Control ◽  
And Control

With the development of wireless communication technology and computer technology, more and more smart technologies have been applied in electricity distribution networks. This paper presents an adaptive current differential protection and fast auto-closing system for application in 10 kV distribution networks in China Southern Power Grid. The current differential protection can adaptively change its settings according to the topology change of the primary distribution networks, thus the system effectively reduces the operation and maintenance cost of the power distribution network. In order to restore the power supply for the healthy part of the 10 kV networks quickly after a power system fault is cleared, the protection and control system provides wide area control function for automatic fault isolation and automatic switching. The traditional overcurrent protection and control system have no fault location function, it may take several minutes or even hours to manually locate a fault and then restore the power supply. Compared with the protection and control system of the traditional 10 kV distribution networks, the system developed can locate and isolate faults within 900 ms (assuming that the operating time of the load switch is 700 ms), and can quickly restore power supply in less than one second after a power system fault is cleared.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

scholarly journals Lifecycle Design of Disruptive SCADA Systems for Waste-Water Treatment Installations

2021 ◽  
Vol 13 (9) ◽  
pp. 4950
Author(s):  
Stelian Brad ◽  
Mircea Murar ◽  
Grigore Vlad ◽  
Emilia Brad ◽  
Mariuța Popanton
Keyword(s):  
Waste Water ◽  
Water Treatment ◽  
Waste Water Treatment ◽  
Value Added ◽  
Competitive Advantages ◽  
Major Focus ◽  
Scada System ◽  
Scada Systems ◽  
And Control ◽  
Lifecycle Design

Capacity to remotely monitor and control systems for waste-water treatment and to provide real time and trustworthy data of system’s behavior to various stakeholders is of high relevance. SCADA systems are used to undertake this job. SCADA solutions are usually conceptualized and designed with a major focus on technological integrability and functionality. Very little contributions are brought to optimize these systems with respect to a mix of target functions, especially considering a lifecycle perspective. In this paper, we propose a structured methodology for optimizing SCADA systems from a lifecycle perspective for the specific case of waste-water treatment units. The methodology embeds techniques for handling entropy in the design process and to assist engineers in designing effective solutions in a space with multiple constrains and conflicts. Evolutionary multiple optimization algorithms are used to handle this challenge. After the foundation of the theoretical model calibrated for the specific case of waste-water treatment units, a practical example illustrates its applicability. It is shown how the model can lead to a disruptive solution, which integrates cloud computing, IoT, and data analytics in the SCADA system, with some competitive advantages in terms of flexibility, cost effectiveness, and increased value added for both integrators and beneficiaries.

Sign in / Sign up

Export Citation Format

Share Document