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A Tabu-search-based Algorithm for Distribution Network Restoration to Improve Reliability and Resiliency
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作者 alessandro bosisio Alberto Berizzi +3 位作者 Daniele Lupis Andrea Morotti Gaetano Iannarelli Bartolomeo Greco 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2023年第1期302-311,共10页
Fault restoration techniques have always been crucial for distribution system operators(DSOs).In the last decade,it started to gain more and more importance due to the introduction of output-based regulations where DS... Fault restoration techniques have always been crucial for distribution system operators(DSOs).In the last decade,it started to gain more and more importance due to the introduction of output-based regulations where DSO performances are evaluated according to frequency and duration of energy supply interruptions.The paper presents a tabu-searchbased algorithm able to assist distribution network operational engineers in identifying solutions to restore the energy supply after permanent faults.According to the network property,two objective functions are considered to optimize either reliability or resiliency.The mathematical formulation includes the traditional feeders,number of switching operation limit,and radiality constraints.Thanks to the DSO of Milan,Unareti,the proposed algorithm has been tested on a real distribution network to investigate its effectiveness. 展开更多
关键词 Distribution system operators(DSOs) heuristic algorithms power system reliability power system restoration resiliency
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Optimal Feeder Routing in Urban Distribution Networks Planning with Layout Constraints and Losses 被引量:1
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作者 alessandro bosisio Alberto Berizzi +2 位作者 Edoardo Amaldi Cristian Bovo Xu Andy Sun 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2020年第5期1005-1014,共10页
We address the problem of optimally re-routing the feeders of urban distribution network in Milano,Italy,which presents some peculiarities and significant design challenges.Milano has two separate medium-voltage(MV)di... We address the problem of optimally re-routing the feeders of urban distribution network in Milano,Italy,which presents some peculiarities and significant design challenges.Milano has two separate medium-voltage(MV)distribution networks,previously operated by two different utilities,which grew up independently and incoordinately.This results in a system layout which is inefficient,redundant,and difficult to manage due to different operating procedures.The current utility UNARETI,which is in charge of the overall distribution system,aims at optimally integrating the two MV distribution networks and moving to a new specific layout that offers advantages from the perspectives of reliability and flexibility.We present a mixed-integer programming(MIP)approach for the design of a new network configuration satisfying the so-called 2-step ladder layout required by the planner.The model accounts for the main electrical constraints such as power flow equations,thermal limits of high-voltage(HV)/MV substation transformers,line thermal limits,and the maximum number of customers per feeder.Real power losses are taken into account via a quadratic formulation and a piecewise linear approximation.Computational tests on a small-scale system and on a part of the Milano distribution network are reported. 展开更多
关键词 Mixed-integer programming(MIP) graph theory power system planning urban distribution network feeder routing optimization
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