Ulaş Kılıç

Artificial bee colony algorithm solution for optimal reactive power flow

Artificial bee colony (ABC) algorithm is an optimization algorithm based on the intelligent foraging behavior of honeybee swarm. Optimal reactive power flow (ORPF) based on ABC algorithm to minimize active power loss in power systems is studied in this paper. The advantage of ABC algorithm is that it does not require these parameters, because it is very difficult to determine external parameters such as cross over rate and mutation rate as in case of genetic algorithm and differential evolution. The other advantage is that global search ability of the algorithm is implemented by introducing a neighborhood source production mechanism which is similar to mutation process. Because of these features, ABC algorithm attracts much attention in recent years and has been used successfully in many areas. ORPF problem is one of these areas. In this paper, proposed algorithm is tested on both standard IEEE 30-bus test system and IEEE 118-bus test system. To show the effectiveness of proposed algorithms, the obtained results are compared with different approaches as available in the literature.

Integrated AC/DC systems Load Flow using Genetic Algorithm

Although the Load Flow (LF) analysis of pure AC power systems is separately solved by both the numerical analysis methods and the heuristic methods, the load flow of integrated AC/DC power systems only has been implementing by numerical methods so far. There are many methods to implement load flow analysis of integrated AC/DC power systems in literature. Examples of these methods can be given as Newton-Raphson, Fast Decoupled and Broyden. In this paper, the sequential load flow analysis of AC/DC system is implemented by using Genetic Algorithm. The proposed method is tested on IEEE 9-bus test system. In this study, a heuristic method is used for load flow analysis of the integrated AC/DC power systems for the first time.