Computerized data acquisition for power system automation

Mahesh, P.

doi:10.1109/poweri.2006.1632484

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…Usually capacitor banks used for power factor correction are placed in a scattered manner throughout the industry for better performance. Fixed shunt capacitors are the least expensive way to achieve near unity power factor by providing a static source of leading reactive power [2]. The application of concept of automation for switching of the capacitor banks can even make the static source to behave as a dynamic source of reactive power and can be installed either close to the highly reactive loads or at the service entrance.…”

Section: Discussionmentioning

confidence: 99%

PLC based intelligent power factor correctors for industrial power systems-A case study

Kulkami¹,

Murthy²,

Raju³

2015

2015 International Conference on Power and Advanced Control Engineering (ICPACE)

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In recent years, the quality of power supplied to the consumer devices by an ac system has become an issue of great concern due to the rapidly increasing inductive loads, electronic equipments, power electronic devices and high system voltage.Power factor correction (PFC) is a technique of minimizing the undesirable effects of electric loads that create poor power factor conditions. Correction of power factor may be effected either by transmission utility which improves the stability and efficiency of the transmission network or by individuals customers.This paper aims at the correction method using an intelligent power factor corrector based on PLC (Programmable Logic Controller) as a control system especially for the correction of the industrial power factor, which is not only required for the smooth operation of the electrical equipments used in the industries but also to minimize the cost of penalty that has to be paid to power supply utilities for having low power factor. This involves measuring the power factor value from the supply line using Power Meter and development of a PLC program to determine and trigger capacitor banks of required rating in order to compensate deficient reactive power, thus bringing power factor near to unity. The results of this paper is based on the case study on application of the proposed method in a real industrial facility.

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Section: Discussionmentioning

confidence: 99%

PLC based intelligent power factor correctors for industrial power systems-A case study

Kulkami¹,

Murthy²,

Raju³

2015

2015 International Conference on Power and Advanced Control Engineering (ICPACE)

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“…Data acquisition and quality monitoring system is considered to be an effective method to achieve this goal, it is important and significative for strengthening the management and assessment of the grid voltage quality, optimizing the grid operation and improving the quality of the grid voltage [3]. In power system, data acquisition and quality monitoring system plays a major role as a base and heart of the power system automation [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

A lightweight framework for data acquisition and quality monitoring in power system

Liu

Zhang

2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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In power system, data acquisition plays an increasing important role in the field of modern power quality monitoring system. However, data communication expanding range of protocols, increasing the signal type, growing the supervisory instruments has become the major problem. In this paper, we present a power data acquisition and quality monitoring framework (F-PDAQM) that is a software framework which abstracts the most common attributes and behaviors in power quality monitoring system. F-PDAQM was developed in object-oriented with some design patterns, and implemented by using C++. It can achieve data visualization of power system via combining virtualization technology and power quality monitoring system. A significant contribution which F-PDAQM brings is that the problem of multiple communication protocols match with a variety of communication channel is solved. A voltage prediction component is provided to realize the voltage quality prediction. In addition, we propose a new concept of soft data acquisition and provide interfaces which are conducive to realize different algorithms. Soft data acquisition is an extremely important method to assure data integrity. F-PDAQM is composed of four layers. This four-layer architecture is designed for extensibility and reusability so that more complex power system problems can be tackled within the framework. It is complementary and compatible of the international standard of the power system-IEC 61850. The research in this paper has been applied to a data acquisition and supervisory system for a substation which demonstrates the validity and flexibility of the framework.

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“…Real time information about the system state is required for a reliable and secure operation of the power system. [1].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Scada for Load Control

Katkar

Umredkar

2013

IJPSOEM

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This paper presents the use of intelligent system with Supervisory control and data acquisition system (SCADA) Software and hardware components platform like PLC considered as the main contents of this project. SCADA software enables us to monitor, record data whenever required from the hardware installed and gives the status of the main power system components like motors, relays, panels, feeders, furnaces, etc. Feature of the design intends load control, distribution and history readings. A small hardware model shows the conveyer application which interface with SCADA and PLC. The application implemented on ladder logic simulation with KGL_WE simulator and SCADA helps to shows real time information about the system.

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Computerized data acquisition for power system automation

Cited by 10 publications

References 19 publications

PLC based intelligent power factor correctors for industrial power systems-A case study

PLC based intelligent power factor correctors for industrial power systems-A case study

A lightweight framework for data acquisition and quality monitoring in power system

Intelligent Scada for Load Control

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