RT Journal Article
A1 Ana Paula Mazzini
A1 Eduardo N. Asada
A1 Guilherme GuimarĂ£es Lage

PB iet
T1 Minimisation of active power losses and number of control adjustments in the optimal reactive dispatch problem
JN IET Generation, Transmission & Distribution
VO 12
IS 12
SP 2897
OP 2904
AB Trade-offs between power system's optimal operational performance and the minimal number of control adjustments necessary to attain a desired operating point make optimal reactive dispatch (ORD) solutions practical to system operators. In this study, a multi-objective ORD model that provides, in terms of weighting factors, trade-offs between minimal active power losses in transmission systems and minimal number of control adjustments in generator voltages, tap ratios and shunt controls is featured. This multi-objective ORD is formulated as a mixed-integer non-linear programming (MINLP) problem, and the proposed resolution methodology is based on translating the original MINLP problem into non-linear programming (NLP) problem deploying a sigmoid function, enabling the use of NLP solvers. Both original MINLP and translated NLP models are implemented in GAMS and numerical tests with IEEE test-systems with up to 300 buses are conducted using DICOPT, KNITRO and CONOPT solvers to validate the proposed ORD model and its resolution methodology. Results demonstrate the relation between active power losses and the number of adjustments in control variables, which is valuable information for operation planning. Another fundamental result is the high computational performance of the method when compared to specialized MINLP solvers.
K1 transmission system
K1 active power loss minimisation
K1 optimal reactive dispatch problem
K1 CONOPT solver
K1 KNITRO solver
K1 multiobjective ORD model
K1 DICOPT solver
K1 reactive shunt control
K1 original MINLP problem
K1 GAMS modelling
K1 nonlinear programming
K1 sigmoid function
K1 on-load tap-changer transformer
K1 operation planning
DO https://doi.org/10.1049/iet-gtd.2017.1486
UL https://digital-library.theiet.org/;jsessionid=2fr5h05jwni3r.x-iet-live-01content/journals/10.1049/iet-gtd.2017.1486
LA English
SN 1751-8687
YR 2018
OL EN