چکیده
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Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and
continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic
mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the
ORPD problem. The problem is formulated as a nonlinear constrained multi objective (MO) optimization problem
considering two objectives, i.e., minimization of active power losses and voltage deviations from the corresponding
desired values, subject to full AC load flow constraints and operational limits. The control variables utilized in the
proposed MO-ORPD problem are generator bus voltages, transformers’ tap ratios and shunt reactive power
compensation at the weak buses. The proposed probabilistic MO-ORPD problem is implemented on the IEEE 30-bus
and IEEE 118-bus tests systems. The obtained numerical results substantiate the effectiveness and applicability of the
proposed probabilistic MO-ORPD problem.
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