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Aliasghar Ghadimi

Aliasghar Ghadimi

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0001-7276-2221
Education: PhD.
ScopusId: 56678490500
Faculty: Engineering
Address: Arak University
Phone: 08632625620


Multi-Objective Optimal Reactive Power Planning under Load Demand and Wind Power Generation Uncertainties Using e-Constraint Method
e-Constraint method; multi-objective optimization; reactive power planning; uncertainty; wind farms
Journal Applied Sciences
Researchers Amir Hossein Shojaei ، Aliasghar Ghadimi ، Mohammad Reza Miveh ، Fazel Mohammadi ، Francisco Jurado


This paper presents an improved multi-objective probabilistic Reactive Power Planning (RPP) in power systems considering uncertainties of load demand and wind power generation. The proposed method is capable of simultaneously (1) reducing the reactive power investment cost, (2) minimizing the total active power losses, (3) improving the voltage stability, and (4) enhancing the loadability factor. The generators’ voltage magnitude, the transformer’s tap settings, and the output reactive power of VAR sources are taken into account as the control variables. To solve the probabilistic multi-objective RPP problem, the "-constraint method is used. To test the e ectiveness of the proposed approach, the IEEE 30-bus test system is implemented in the GAMS environment under five di erent conditions. Finally, for a better comprehension of the obtained results, a brief comparison of outcomes is presented.