Restoration of Power Distribution Systems With Multiple Data Centers as Critical Loads

In this paper, a post-event restoration method is proposed for power distribution systems with Internet data centers (IDCs) as critical loads. The proposed method is formulated as a mixed integer linear programming-based optimization model which considers emergency operation decisions in IDCs and re...

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Vydané v:IEEE transactions on smart grid Ročník 10; číslo 5; s. 5294 - 5307
Hlavní autori: Liu, Yang, Lei, Shunbo, Hou, Yunhe
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Computational efficiency
Computational modeling
Computer centers
Computing time
Critical infrastructure
Data centers
Decisions
Decoupling method
Distribution system resilience
distribution system restoration
Electric power distribution
Electrical loads
Emergency procedures
Information sharing
Integer programming
Internet data centers
Linear programming
Load modeling
Mixed integer
mixed integer linear programming
optimal scheduling
Optimization
Power distribution
Power supplies
Restoration
ISSN:1949-3053, 1949-3061
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Abstract In this paper, a post-event restoration method is proposed for power distribution systems with Internet data centers (IDCs) as critical loads. The proposed method is formulated as a mixed integer linear programming-based optimization model which considers emergency operation decisions in IDCs and restoration decisions in power distribution systems, and can minimize the utility loss of IDCs and other loads during the restoration process. Since the original form of the proposed method may face some problems in practical application, such as confidential information sharing and long computing time, a decoupling method is proposed to convert the integrated model into several sequential parts which are operated by power distribution systems or IDCs independently, so that the confidential information sharing issue is solved, and the computing time is significantly reduced. The proposed restoration method is tested on the IEEE 123-Bus Feeder with multiple IDCs to illustrate its feasibility and efficiency.
AbstractList In this paper, a post-event restoration method is proposed for power distribution systems with Internet data centers (IDCs) as critical loads. The proposed method is formulated as a mixed integer linear programming-based optimization model which considers emergency operation decisions in IDCs and restoration decisions in power distribution systems, and can minimize the utility loss of IDCs and other loads during the restoration process. Since the original form of the proposed method may face some problems in practical application, such as confidential information sharing and long computing time, a decoupling method is proposed to convert the integrated model into several sequential parts which are operated by power distribution systems or IDCs independently, so that the confidential information sharing issue is solved, and the computing time is significantly reduced. The proposed restoration method is tested on the IEEE 123-Bus Feeder with multiple IDCs to illustrate its feasibility and efficiency.
Author Lei, Shunbo
Liu, Yang
Hou, Yunhe
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SubjectTerms Computational efficiency
Computational modeling
Computer centers
Computing time
Critical infrastructure
Data centers
Decisions
Decoupling method
Distribution system resilience
distribution system restoration
Electric power distribution
Electrical loads
Emergency procedures
Information sharing
Integer programming
Internet data centers
Linear programming
Load modeling
Mixed integer
mixed integer linear programming
optimal scheduling
Optimization
Power distribution
Power supplies
Restoration
Title Restoration of Power Distribution Systems With Multiple Data Centers as Critical Loads
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