TY - GEN

T1 - Optimal reactive power management for transmission connected distribution grid with wind farms

AU - Stock, D. S.

AU - Venzke, A.

AU - Löwer, L.

AU - Rohrig, K.

AU - Hofmann, L.

N1 - Publisher Copyright: © 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2016/11/1

Y1 - 2016/11/1

N2 - This work presents an optimal reactive power management strategy for the operation of a transmission connected distribution grid with high share of wind power. Main control objective is minimizing reactive power exchange with the overlaying transmission grid. For this purpose, a mixed integer non-linear optimal power flow (MINLP-OPF) problem is formulated utilizing reactive power capabilities of wind farms and transformer tap-changer positions whilst respecting voltage limitations. Loss minimization and flat voltage profile are possible secondary sequential optimization objectives. The proposed control is evaluated for a real German 110-kV distribution grid with 1.6 GW installed wind power and yearly time series. Throughout a year, reactive power exchange with the transmission grid can be reduced by 96.8% while minimizing the increase in active power losses to 11.1%. Choosing voltage profile as secondary objective, reactive power exchange is reduced by 96.5% while quadratic deviation from nominal voltage is reduced by 30.8%.

AB - This work presents an optimal reactive power management strategy for the operation of a transmission connected distribution grid with high share of wind power. Main control objective is minimizing reactive power exchange with the overlaying transmission grid. For this purpose, a mixed integer non-linear optimal power flow (MINLP-OPF) problem is formulated utilizing reactive power capabilities of wind farms and transformer tap-changer positions whilst respecting voltage limitations. Loss minimization and flat voltage profile are possible secondary sequential optimization objectives. The proposed control is evaluated for a real German 110-kV distribution grid with 1.6 GW installed wind power and yearly time series. Throughout a year, reactive power exchange with the transmission grid can be reduced by 96.8% while minimizing the increase in active power losses to 11.1%. Choosing voltage profile as secondary objective, reactive power exchange is reduced by 96.5% while quadratic deviation from nominal voltage is reduced by 30.8%.

KW - distributed power generation

KW - integer programming

KW - load flow

KW - nonlinear programming

KW - power system management

KW - reactive power control

KW - wind power plants

KW - quadratic deviation

KW - secondary objective

KW - active power losses

KW - yearly time series

KW - German 110-kV distribution grid

KW - secondary sequential optimization objectives

KW - flat voltage profile

KW - loss minimization

KW - voltage limitations

KW - transformer tap-changer positions

KW - wind farms

KW - reactive power capabilities

KW - MINLP-OPF problem

KW - mixed integer nonlinear optimal power flow problem

KW - overlaying transmission grid

KW - reactive power exchange

KW - wind power

KW - transmission connected distribution grid

KW - reactive power management strategy

KW - voltage 110 kV

KW - power 1.6 GW

KW - Reactive power

KW - Optimization

KW - Load flow

KW - Software

KW - Load modeling

KW - Wind farms

KW - Wind power generation

KW - distributed generation

KW - optimal power flow

KW - wind power grid integration

KW - Wind power grid integration

UR - http://www.scopus.com/inward/record.url?scp=85010032232&partnerID=8YFLogxK

U2 - 10.1109/isgt-asia.2016.7796535

DO - 10.1109/isgt-asia.2016.7796535

M3 - Conference contribution

SP - 1076

EP - 1082

BT - 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016

ER -