TY - GEN
T1 - Researches on the optimization model and strategies against low voltage in power distribution network
AU - Yang, Hong
AU - Gengfeng, Li
AU - Chenlin, Gu
AU - Fangdi, Zeng
AU - Liu, Shiyu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/9
Y1 - 2016/12/9
N2 - Low voltages and high power loss are two main problems in distribution network especially in remote area. To solve these problems, typical events of low voltage in distribution network need to be analyzed and identify the similarities. Furthermore, building general optimization model for low voltage in distribution network and proposing improved strategies related to such problems are also necessary. This paper proposes optimization model and strategies against low voltage using Matlab as the main platform with objective functions and several constraints. The particle swarm optimization (PSO) is used to solve the problem. With the open DSS COM interface connected to Matlab, the open DSS are called to calculate distribution network 3-phase power flow repeatedly. Finally, the optimizing strategy, including transformer tap positions and capacitors in each node are obtained. Results from simulations verify the effectiveness and feasibility of the proposed model.
AB - Low voltages and high power loss are two main problems in distribution network especially in remote area. To solve these problems, typical events of low voltage in distribution network need to be analyzed and identify the similarities. Furthermore, building general optimization model for low voltage in distribution network and proposing improved strategies related to such problems are also necessary. This paper proposes optimization model and strategies against low voltage using Matlab as the main platform with objective functions and several constraints. The particle swarm optimization (PSO) is used to solve the problem. With the open DSS COM interface connected to Matlab, the open DSS are called to calculate distribution network 3-phase power flow repeatedly. Finally, the optimizing strategy, including transformer tap positions and capacitors in each node are obtained. Results from simulations verify the effectiveness and feasibility of the proposed model.
KW - Open DSS
KW - Particle swarm optimization
KW - Power distribution lines
KW - Power quality
KW - Reactive power
UR - https://www.scopus.com/pages/publications/85010021679
U2 - 10.1109/APPEEC.2016.7779902
DO - 10.1109/APPEEC.2016.7779902
M3 - 会议稿件
AN - SCOPUS:85010021679
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
SP - 2338
EP - 2342
BT - IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
PB - IEEE Computer Society
T2 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016
Y2 - 25 October 2016 through 28 October 2016
ER -