Details
| Original language | English |
|---|---|
| Title of host publication | IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference |
| Pages | 419-423 |
| Number of pages | 5 |
| ISBN (electronic) | 9781509054183 |
| Publication status | Published - 1 Oct 2016 |
Abstract
Keywords
- distributed power generation, integer programming, load flow control, nonlinear programming, predictive control, reactive power control, wind power plants, multiobjective model predictive control, reactive power management, transmission connected distribution grids, wind power, wind farms, tap-changer positions, reactive power set-points, forecast horizon, power loss reduction, voltage profile smoothing, reactive power exchange limits, transmission grid, mixed-integer nonlinear optimal power flow problem, MINLP-OPF, grid operation limits, single time-step optimization, Analytical models, Reactive power, Load flow, Optimization, Impedance, Load modeling, Voltage control, distributed generation, model predictive control, optimal power flow, wind power grid integration
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
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IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. 2016. p. 419-423 7779538.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Model predictive control for reactive power management in transmission connected distribution grids
AU - Stock, D. S.
AU - Venzke, A.
AU - Hennig, Tobias
AU - Hofmann, L.
N1 - Publisher Copyright: © 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - In this work a multi-objective model predictive control for reactive power management in transmission connected distribution grids with high share of wind power is presented. The proposed control utilizes reactive power capabilities of wind farms and tap-changer positions in order to improve distribution grid operation. Control signals namely tap-changer positions and reactive power set-points are smoothed over the forecast horizon. Further possible optimization objectives are power loss reduction, voltage profile smoothing and complying with reactive power exchange limits with the transmission grid. A mixed-integer non-linear optimal power flow problem (MINLP-OPF) is formulated incorporating grid operation limits. The performance is evaluated on a real German 110-kV distribution grid with 1.6 GW wind power for one year. With the proposed control, reactive power exchange within allowable limits is increased from 58.3% to 94.5%, compared to a reference operation where only tap-changer positions are utilized for loss reduction with a single time-step optimization.
AB - In this work a multi-objective model predictive control for reactive power management in transmission connected distribution grids with high share of wind power is presented. The proposed control utilizes reactive power capabilities of wind farms and tap-changer positions in order to improve distribution grid operation. Control signals namely tap-changer positions and reactive power set-points are smoothed over the forecast horizon. Further possible optimization objectives are power loss reduction, voltage profile smoothing and complying with reactive power exchange limits with the transmission grid. A mixed-integer non-linear optimal power flow problem (MINLP-OPF) is formulated incorporating grid operation limits. The performance is evaluated on a real German 110-kV distribution grid with 1.6 GW wind power for one year. With the proposed control, reactive power exchange within allowable limits is increased from 58.3% to 94.5%, compared to a reference operation where only tap-changer positions are utilized for loss reduction with a single time-step optimization.
KW - distributed power generation
KW - integer programming
KW - load flow control
KW - nonlinear programming
KW - predictive control
KW - reactive power control
KW - wind power plants
KW - multiobjective model predictive control
KW - reactive power management
KW - transmission connected distribution grids
KW - wind power
KW - wind farms
KW - tap-changer positions
KW - reactive power set-points
KW - forecast horizon
KW - power loss reduction
KW - voltage profile smoothing
KW - reactive power exchange limits
KW - transmission grid
KW - mixed-integer nonlinear optimal power flow problem
KW - MINLP-OPF
KW - grid operation limits
KW - single time-step optimization
KW - Analytical models
KW - Reactive power
KW - Load flow
KW - Optimization
KW - Impedance
KW - Load modeling
KW - Voltage control
KW - distributed generation
KW - model predictive control
KW - optimal power flow
KW - wind power grid integration
UR - http://www.scopus.com/inward/record.url?scp=85009956954&partnerID=8YFLogxK
U2 - 10.1109/appeec.2016.7779538
DO - 10.1109/appeec.2016.7779538
M3 - Conference contribution
SP - 419
EP - 423
BT - IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
ER -