Open AccessOptimal configuration of distributed generation based on sparrow search algorithm
Author(s) -
Hairui Wang,
Jianchuan Xianyu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/647/1/012053
Subject(s) - computer science , distributed generation , node (physics) , mathematical optimization , power (physics) , power flow , function (biology) , algorithm , electric power system , mathematics , engineering , physics , structural engineering , quantum mechanics , evolutionary biology , biology
Aiming at the problem of how to effectively configure distributed generation (DG) in the distribution network, an optimization configuration model of DG with the lowest total system operating cost as the objective function, system power flow, node voltage, branch current and distributed power capacity as constraints is established. In this paper, a new technique based on the sparrow search algorithm (SSA), is used to solve the optimal configuration model of DG for the first time. Finally, the IEEE 33 distribution system is used as an example to perform simulation, which verifies the rationality of the optimal configuration model and the effectiveness and superiority of the SSA, which can more efficiently solve the problem about optimal configuration of DG.