TY - GEN
T1 - Optimization of reactive power under load uncertainty
AU - Dzobo, Oliver
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Reactive power demand in power system networks have a significant effect on energy efficiency in the grid. In locations where there are many industries which have a lot of motors running their production, the inductive power demand from the motors reduce the power factor and increase energy losses during transmission and also limits the real power supplied to the electricity consumer. The monitoring of reactive power in the power system network is difficult because of the challenge of estimating the network load at any given time. In this paper, a case study is presented using the IEEE test network to determine the effect of load uncertainty on reactive power. The uncertainty of the load is achieved by using the two point estimate method. Particle swarm optimization algorithm is used to solve the objective function. The results show that load uncertainty have a significant effect on estimation of reactive power in the system network.
AB - Reactive power demand in power system networks have a significant effect on energy efficiency in the grid. In locations where there are many industries which have a lot of motors running their production, the inductive power demand from the motors reduce the power factor and increase energy losses during transmission and also limits the real power supplied to the electricity consumer. The monitoring of reactive power in the power system network is difficult because of the challenge of estimating the network load at any given time. In this paper, a case study is presented using the IEEE test network to determine the effect of load uncertainty on reactive power. The uncertainty of the load is achieved by using the two point estimate method. Particle swarm optimization algorithm is used to solve the objective function. The results show that load uncertainty have a significant effect on estimation of reactive power in the system network.
KW - Load uncertainty
KW - Reactive power
KW - Transmission line loss
UR - http://www.scopus.com/inward/record.url?scp=85082992783&partnerID=8YFLogxK
U2 - 10.1109/SAUPEC/RobMech/PRASA48453.2020.9040976
DO - 10.1109/SAUPEC/RobMech/PRASA48453.2020.9040976
M3 - Conference contribution
AN - SCOPUS:85082992783
T3 - 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020
BT - 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020
Y2 - 29 January 2020 through 31 January 2020
ER -
