Open AccessA Two-layer Multistage Expansion Planning Method for Adaptability Enhancement of Distribution Networks
Author(s) -
Feng Liang,
Yichao Dong,
Shouxiang Wang,
Qingzhi Jian,
Long Zhao,
Rui Li,
Yang Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012080
Subject(s) - adaptability , sorting , upgrade , mathematical optimization , genetic algorithm , pareto principle , computer science , multi objective optimization , layer (electronics) , operations research , engineering , mathematics , algorithm , ecology , biology , operating system , chemistry , organic chemistry
With the increasing penetration of distributed generations (DGs) and flexible loads in the distribution network (DN), the existing DN planning methods need an improvement. This paper proposes a two-layer multistage expansion planning method for DN adaptability enhancement, where the optimal construction/upgrade strategy of substations and lines along with the optimal PV configuration strategy are considered. A two-layer adaptive planning model is established and solved by the non-dominated sorting genetic algorithm II (NSGA II). The obtained Pareto-optimal front represents a set of optimal planning schemes meeting the demand of DN economy and adaptability, which is of great significance in theory and practice.