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Ahmadi S A, Vahidinasab V, Ghazizadeh M S. Stochastic multi-objective framework for reconfiguration and distributed generations sizing in distribution networks. Journal of Iranian Association of Electrical and Electronics Engineers 2021; 18 (2) :153-161
URL: http://jiaeee.com/article-1-731-en.html
SOHA Smart Energy Systems Lab., Faculty of Electrical Engineering, Shahid Beheshti University
Abstract:   (2027 Views)
In this paper, to implement the reconfiguration of the intelligent distribution network and sizing the distributed generations (DGs), simultaneously, a stochastic multi-objective framework is presented in which the goals of reducing the energy losses, operating costs and emissions of environmental pollutants are followed. In most of the researches carried out for the network reconfiguration, the customer and distribution substation loads have been assumed to be fixed, while in reality these loads are changing. Generally, in the power system planning, the worst case which is the maximum possible load is considered, but the obtained configuration with this assumption is certainly not the optimal configuration. Therefore, in this paper, in order to cover the uncertainties associated with the load, the framework for the reconfiguration and DGs sizing problem is presented as a chance constrained programming problem and the Monte Carlo simulation is used in it. The problem of reconfiguration and DGs sizing at the same time in order to achieve predetermined goals is a multi-objective optimization problem. In order to solve it, this paper uses a newly introduced powerful optimization method called human-behavior based optimization approach. Finally, the proposed stochastic multi-objective framework is implemented on an IEEE 33-bus network, and the results are analyzed.
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Type of Article: Research | Subject: Power
Received: 2018/11/20 | Accepted: 2019/09/23 | Published: 2021/05/30

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