Optimal design of mixed AC–DC distribution systems for commercial buildings: A Nonconvex Generalized Benders Decomposition approach

2015 ◽  
Vol 242 (3) ◽  
pp. 710-729 ◽  
Author(s):  
Stephen M. Frank ◽  
Steffen Rebennack
Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1225 ◽  
Author(s):  
Sergio Montoya-Bueno ◽  
Jose Muñoz-Hernandez ◽  
Javier Contreras ◽  
Luis Baringo

A model suitable to obtain where and when renewable energy sources (RES) should be allocated as part of generation planning in distribution systems is formulated. The proposed model starts from an existing two-stage stochastic mixed-integer linear programming (MILP) problem including investment and scenario-dependent operation decisions. The aim is to minimize photovoltaic and wind investment costs, operation costs, as well as total substation costs including the cost of the energy bought from substations and energy losses. A new Benders’ decomposition framework is used to decouple the problem between investment and operation decisions, where the latter can be further decomposed into a set of smaller problems per scenario and planning period. The model is applied to a 34-bus system and a comparison with a MILP model is presented to show the advantages of the model proposed.


2019 ◽  
Vol 13 (16) ◽  
pp. 3713-3724 ◽  
Author(s):  
Meng Li ◽  
Ke Jia ◽  
Tianshu Bi ◽  
Congbo Wang ◽  
Rui Zhu ◽  
...  

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