Electric train system is a very large load for the power network. This load consumes a large amount of reactive power. In addition, it causes a massive unbalance to the network, which results in many problems such as voltage drops, high transmission losses, reduction in the transformer output ability, negative sequence current, mal-operation of protective relays, etc. In this paper, a novel real-time optimization approach is presented to adjust the static VAR compensator (SVC) for the traction system to realize two objectives; current unbalance reduction and reactive power compensation. A multi-objective optimization technique entitled non-dominated sorting genetic algorithm (NSGA-II) is used to fulfill the regarded objectives simultaneously. A comprehensive simulator has been designed for electric train network modeling that is able to adjust the parameters of SVC in an optimum manner at any time and under any circumstances. The results illustrate that the provided method can efficiently reduce the unbalancing in current as well as supply the demanded reactive power with acceptable precision.

Department of Applied Cybernetics Faculty of Science University of Hradec Králové 500 03 Hradec Králové Czech Republic

Department of Electrical Engineering Amirkabir University of Technology Tehran 159163 4311 Iran

Department of Electrical Engineering Shahreza Campus University of Isfahan Iran

Monenco Iran Consulting Engineers Company Tehran 1994643315 Iran

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