Open AccessResearch on Optimal Access Location and Capacity of MultiStage Multi-Scenario Distributed Power Supply Based on OpenDSS
Author(s) -
Jun Han,
Junhui Huang,
Yuefeng Wu,
Hong Liu,
Zhengchao Xie,
He Huang,
Gui Sanrong
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/4/042036
Subject(s) - computer science , distributed power , power (physics) , mathematical optimization , particle swarm optimization , distributed generation , distributed computing , scheme (mathematics) , mathematics , mathematical analysis , physics , quantum mechanics
At present, the research on the planning problem of distributed power access distribution network is mostly carried out under the condition that the target annual load is known, and the impact of the differential load growth in different stages and the multi-scenario timing characteristics of the distribution network components are not considered. Aiming at this problem, an optimal access location and capacity calculation method for multi-period and multi-scenario distributed power supply based on OpenDSS is proposed. Firstly, the simulation principle and advantages of OpenDSS are explained from the aspects of model construction and power flow calculation. Secondly, the optimal power supply access model with multiple time slots and multiple scenarios is established with the goal of minimum planning end value. Thirdly, a model solving method based on particle swarm optimization is proposed. Finally, a typical example is chosen to calculate the optimal planning scheme of distributed power supply under multi-period, and the rationality of the model is verified.