N-1 Based Multi-Objective Optimization of Static Var Compensator Placement Using Heuristic Methods

The problem of the optimal placement of static var compensator is studied in this paper. Since there is a multitude of parameters that are influenced by static var compensator operation, in addition to various goals of static var compensator installation, the multi-objective optimization problem is being solved. The optimization methods in use are the genetic algorithm and the particle swarm, with the full enumeration method being applied for the purpose of obtaining “benchmark” results to compare with. The variable shunt capacitance is used as static var compensator model in N -1 based power flow calculations. N-l contingencies are proven to be taken into account because their integration into algorithms of static var compensator placement optimization radically changes the results, as it was proven by authors in their previous study. The current research has demonstrated the need to carry out detailed analysis, adjustment and improvement of existing optimization algorithms in order to obtain solutions in the most efficient way. Also sets of objective functions should be carefully selected in accordance with the purpose of device installation, its type and power system operation.