@Article{ee.2025.073805,
AUTHOR = {Chenying Yi, Yangjun Zhou, Wei Zhang, Like Gao, Hongwen Wu, Yuanchao Zhou, Ke Zhou, Weixiang Huang, Juntao Pan, Shan Li, Bin Feng},
TITLE = {Bi-Objective Optimization of Distribution Network Reliability Enhancement Using Quantitative Decomposition},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/25310},
ISSN = {1546-0118},
ABSTRACT = {Ensuring reliability in distribution networks is essential under increasing operational and economic constraints. Traditional planning models rely on power flow calculations, leading to high computational costs and poor scalability. This study proposes a quantitative decomposition framework that establishes a direct linkage among reliability improvement measures, reliability parameters, and reliability indices, enabling fast and analytical reliability evaluation without power flow analysis. A bi-objective optimization model is developed to minimize both reliability indices (SAIDI) and investment costs, solved using Pareto-based multi-objective PSO combined with the TOPSIS method. Case studies on a 519-node distribution network demonstrate that the proposed approach achieves significant reliability improvement with superior computational efficiency, offering a practical and scalable tool for reliability-oriented distribution planning.},
DOI = {10.32604/ee.2025.073805}
}