Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 57 1 2025 03 01 A Comprehensive Method for Expansion Planning of Active Distribution System Considering Reliability Assessment 113 130 5496 10.22060/eej.2024.23185.5593 EN Seyed Peiman Mirhoseini Department of Energy Planning and Economics, Niroo Research Institute (NRI), Tehran, Iran 0000-0002-5054-8766 Seyed Mohsen Hashemi Department of Energy Planning and Economics, Niroo Research Institute (NRI), Tehran, Iran 0000-0002-5054-8766 Behnam Alizadeh Department of Energy Planning and Economics, Niroo Research Institute (NRI), Tehran, Iran 0000-0002-5054-8766 Mahdi Tabarzadi Department of Energy Planning and Economics, Niroo Research Institute (NRI), Tehran, Iran 0000-0002-5054-8766 Journal Article 2024 05 15 Today the application of Distributed Energy Resources (DERs) in Distribution System expansion planning (DNEP) problems is more crucial than before. Despite of advantages, the presence of the resources considering Renewable Energy Sources (RESs) and Dispatchable Generation (DG) units in the distribution System expansion planning problems, brings more challenges, especially in reliability characteristics. This paper proposes a new distribution network expansion planning model embedded with a novel reliability assessment approach for Active Distribution Networks (ADNs). The proposed method aims to determine the optimal location and capacity of the new generation and distribution assets, responsible for providing power, in both the normal operation and contingency conditions. The load forecast significantly affects the results of the distribution network expansion planning. The K-means clustering method is used to address the uncertainty of load growth in the planning horizon which is coordinated with a Mixed Integer Linear Programming (MILP) optimization model. The proposed model is applied to the IEEE 33 bus test case, to guarantee its technical and economical effectiveness. The results verify that this model is cost-effective and can increase the robustness of the distribution network compared with recent similar works. https://eej.aut.ac.ir/article_5496_d47619b92cebc6ebfa07969ab5370ae6.pdf