TY  - EJOU
AU  - Yi, Chenying 
AU  - Zhou, Yangjun 
AU  - Zhang, Wei 
AU  - Gao, Like 
AU  - Wu, Hongwen 
AU  - Zhou, Yuanchao 
AU  - Zhou, Ke 
AU  - Huang, Weixiang 
AU  - Pan, Juntao 
AU  - Li, Shan 
AU  - Feng, Bin 

TI  - Bi-Objective Optimization of Distribution Network Reliability Enhancement Using Quantitative Decomposition
T2  - Energy Engineering

PY  - 
VL  - 
IS  - 
SN  - 1546-0118

AB  - 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.
KW  - Distribution network; reliability improvement measures; quantitative analysis; optimization decision

DO  - 10.32604/ee.2025.073805