Real-Time Benefit Analysis and Industrial Implementation for Distribution System Automation and Control

Smart grid technologies are expected to increase system efficiency and reliability using advancement in automation, communication, computation, and optimization. Several control algorithms have been developed or enhanced for operation and control of smart distribution grid. In recent years, volt/var...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2016-01, Vol.52 (1), p.444-454
Main Authors: Shariatzadeh, Farshid, Chanda, Sayonsom, Srivastava, Anurag K., Bose, Anjan
Format: Article
Language:English
Subjects:
Algorithms
Automation
Benefit Analysis
Capacitors
Control algorithms
Control systems
Distribution System Automation and Control
Electric potential
Energy conservation
Energy Saving Estimation
Reactive power
Real time
Regulators
Smart Grid
Smart grid technology
Smart grids
Switches
Volt/Var Control
Volt/Var Optimization
Voltage
Voltage control
Voltage measurement
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Summary:Smart grid technologies are expected to increase system efficiency and reliability using advancement in automation, communication, computation, and optimization. Several control algorithms have been developed or enhanced for operation and control of smart distribution grid. In recent years, volt/var control (VVC) algorithms have been proposed for energy saving in distribution systems due to advancement provided by smart grid automation and control. VVC helps to lower distribution feeder voltage to decrease energy consumption. However, quantification of this impact is hard due to several external factors such as weather and end users' behavior. On the other hand, existing evaluation methods of VVC algorithms are either not suitable for long-term study or intrusive. This paper addresses these issues by proposing a new technique to estimate "distribution system demand without smart grid implementation" utilizing "data measured from system with smart grid implementation." Interdependence of voltage and load is considered based on estimated load characteristic. Our key contribution is developing a method for quantifying the real-time energy saving of smart grid automation and control focused on VVC and implementing in an electric utility in eastern Washington, USA. The algorithm is developed using both commercial and open-source software.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2015.2477488