Preventing loop flows using fuzzy set theory and genetic algorithms

In the de-regulated power systems the loop flow control issue is becoming important. This is especially true when the transmission system is operated at or close to its limits. Thus, prevention and/or control of loop flows problem need be solved efficiently and fast. We suggest a fuzzy set theory based method using genetic algorithm to solve this problem. In the proposed method the constraints and objectives are handled in fuzzy environment and the optimization problem is solved using genetic algorithms. The proposed method is applied to IEEE 14 and 30 bus test systems and the results are presented.