Introduction
Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
location: home > paper >
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Resilience-oriented Distribution Network Robust Optimal Operation Strategy
DOI:
10.16355/j.cnki.issn1007-9432tyut.2019.05.019
Received:
Accepted:
| Corresponding author | Institute | |
| ZHENG Xiaodong;TAI Nengling | School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China |
abstract:
In order to effectively resist the interference caused by natural disasters and human events to the distribution network,and quickly recover to normal and reliable operation after the extreme incidents,a resilience-oriented robust optimal operation strategy for distribution network is proposed in this paper by studying the operating characteristics of the distribution network after being disturbed.Due to the uncertainty of the distributed energy output such as wind turbine and photovoltaic panel,and some kinds of uncertain load existing in the distribution network,it is necessary to establish an optimal operation model that takes into account the above uncertain factors.This model takes distribution network resilience as the first optimization goal,and considers economy and environmental factor as the second and third optimization goals.Therefore,the model can be regarded as a multi-objective min-max dual robust optimization problem.Benders decomposition(BD)is employed to decouple it in this paper.The MATLAB simulation example indicates that,compared to traditional optimal operation strategy,the robust optimal operation strategy proposed in this paper can effectively reduce the total operating cost as well as the pollutant emissions on the basis of improving the resilience.
Keywords:
distribution network;resilience;robust optimization;operation strategy;Benders decomposition;decoupling