A multi-objective mixed integer linear programming approach for simultaneous optimization of cost and resilience of power distribution networks

In recent years, customers have experienced a significant increase in weather-related power outages. The power distribution network (PDN), a subset of the power system, in particular is more susceptible to extreme events. Therefore, ensuring the resilient and cost-effective operation of PDNs followi...

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Bibliographic Details
Published in:Sustainable Energy, Grids and Networks Vol. 39; p. 101462
Main Authors: Kumari, Vandana, Ganguly, Sanjib
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2024
Subjects:
Load restoration
Mobile emergency generator
Multi-objective optimization
Network reconfiguration
Power distribution network
Resilience
Mobile emergency generator
Power distribution network
Multi-objective optimization
Load restoration
Network reconfiguration
Resilience
ISSN:2352-4677, 2352-4677
Online Access:Get full text
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Summary:In recent years, customers have experienced a significant increase in weather-related power outages. The power distribution network (PDN), a subset of the power system, in particular is more susceptible to extreme events. Therefore, ensuring the resilient and cost-effective operation of PDNs following extreme weather conditions poses a significant challenge for distribution network operators. This paper presents an approach for simultaneously optimizing the cost and load restoration for resilience enhancement of power distribution networks while determining the optimal positioning and generation levels of mobile emergency generators. The proposed method, in addition, employs a distribution network reconfiguration to improve the load restoration process, by optimally determining the status of switches. The multi-objective formulation involves the minimization of load shedding to increase the resilience of the system, while the other objective is formulated to minimize the cost of load restoration. A weighted sum method is employed to address the multi-objective mixed-integer linear programming (MILP) model. A set of non-dominated solutions determined using the proposed formulation provides opportunities to the distribution system operator in choosing a resilience improvement strategy according to the availability of the operational budget. The proposed model is implemented on 33-bus distribution system to validate the efficacy of the proposed model. •An MILP model is proposed to simultaneously optimize the cost and load restoration.•The optimal position and generation of mobile generators are determined.•The optimal status of controllable switches are determined while restoring load.•The efficacy of the model is shown by comparing it with mono-objective formulation.
ISSN:2352-4677
2352-4677
DOI:10.1016/j.segan.2024.101462