University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 11 2 2020 06 21 Providing a bi-level model for medium and low voltage distribution network expansion planning Providing a bi-level model for medium and low voltage distribution network expansion planning 95 110 24476 10.22108/isee.2019.118945.1274 FA Abdollah Rastgou Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran Sasan Ghasemi Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran Salah Bahramara Department of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran Journal Article 2019 08 31 In this paper, a bi-level model is proposed for low and medium voltage distribution network expansion planning in the presence of distributed generations (DGs) which are located in the low-voltage network. In the bi-level model, the upper and lower levels are medium and low voltage networks, respectively. The model is decomposed to two sub problems and the final aim is to find the answer with minimum planning and operation costs consisting of the cost of installing and upgrading of new and existing transformers, substations, feeders, distributed generations and cost of losses. The model is a mixed-integer non-linear programming, which is solved by a genetic algorithm with a proposed codification. To show the effectiveness of the proposed model and solution method, the model is implemented in a distribution system in three case studies, including, problem solving with traditional planning, bi-level programming without considering DGs and bi-level programming considering DGs in the low-voltage side. The obtained results show that the importance of incorporating both low and medium voltage networks simultaneously is very effective in reducing costs. In this paper, a bi-level model is proposed for low and medium voltage distribution network expansion planning in the presence of distributed generations (DGs) which are located in the low-voltage network. In the bi-level model, the upper and lower levels are medium and low voltage networks, respectively. The model is decomposed to two sub problems and the final aim is to find the answer with minimum planning and operation costs consisting of the cost of installing and upgrading of new and existing transformers, substations, feeders, distributed generations and cost of losses. The model is a mixed-integer non-linear programming, which is solved by a genetic algorithm with a proposed codification. To show the effectiveness of the proposed model and solution method, the model is implemented in a distribution system in three case studies, including, problem solving with traditional planning, bi-level programming without considering DGs and bi-level programming considering DGs in the low-voltage side. The obtained results show that the importance of incorporating both low and medium voltage networks simultaneously is very effective in reducing costs. https://isee.ui.ac.ir/article_24476_c7cbd60d4ad8d325ffb0848454e5ab31.pdf