Reactive power planning based on fuzzy clustering and multivariate linear regression

This paper proposes a new approach for reactive power planning (RPP) or VAR Planning with two major steps. First, the fuzzy clustering algorithm is employed to select candidate locations for installing new shunt VAR sources. Second, a piecewise linear method is proposed for VAR capacity optimization via minimizing the total cost for system operation. In the cost minimization model, the tie-line total transfer capability (TTC) is modeled with multivariate linear regression algorithm. Test results on the IEEE 30-bus system are presented to clearly demonstrate that the combination of the fuzzy clustering algorithm and the VAR optimization model may be a promising method for RPP.