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Optimal robust integrated power distribution network planning under load demand uncertainty

Gholizadeh-Roshanagh R., Najafi-Ravadanegh M., Hosseinian S. H.

Journal of Power Technologies

2016

Vol. 96, nr 2

115--123

Due to the new technologies introduced in smart grids, it is hard to forecast future load demands with deterministic values. This makes it essential to consider load demand uncertainty in power distribution planning (PDP) approaches. The purpose of this paper was to find an approach that can solve optimal integrated power distribution long-term planning under load demand uncertainty. A single objective function was used that considers costs of low and medium voltage feeders, distribution transformers (DT) and high voltage (HV) substations simultaneously. Imperialist competitive algorithm (ICA) was used to solve the optimization problem. The proposed approach was applied to a semi-real hypothetical test-case with geographical attributes. Normal distribution function was used to model load demand uncertainty and Monte Carlo simulation (MCS) technique was applied to solve optimal planning under uncertainty. MCS takes statistical data and gives statistical results. A technique was utilized to take a single solution from statistical results. Based on comparisons with deterministic approach, the proposed approach is capable of giving a robust solution.

Influence of electric vehicle charging rates on transformer derating in harmonic-rich battery charger applications

Jouybari-Moghaddam M., Alimardani A., Hosseinian S.H.

Archives of Electrical Engineering

2012

Vol. 61, nr 4

483-497

A study on plug-in electric vehicle (PEV) charging load and its impacts on distribution transformers loss-of-life, is presented in this paper. The assessment is based on residential PEV battery charging. As the exact forecasting of the charging load is not possible, the method for predicting the electric vehicle (EV) charging load is stochastically formulated. With the help of the stochastic model, the effect of fixed, time of use, and real-time charging rates on the charging load and the resultant impact on transformer derating is investigated. A 38-bus test system is adopted as the test system including industrial harmonic sources. Test results demonstrate that uncontrolled EV charging might causes a noticeable change in the K-factor of the transformer, emerging the need for derating, while applying real-time rates for battery charging loads conquers this problem even in case of harmonic-rich chargers.