Abstract— The aim of this paper is to study the tuning of a PID controller using swarm optimization techniques. In this paper, comparative performance of PSO and BF-PSO based PID controller is analyzed. PSO algorithm converges rapidly during the initial stages of a global search, but around global optimum, the search process slows down. In order to overcome this problem and to further enhance t...

in this paper, a combinational optimization algorithm is introduced to obtain the best size and location of static compensator (statcom) in power systems. its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. the objective of the proposed algorithm is firstly to pr...

The proposed work introducing new coefficients and some modern control parameters such as sensitivity (s(t)) and probability of nectar (p(t)) and modification of the conventional parameter (Φ). With presenting these parameters the performance and searching ability of the BF-PSO is significantly increased compared to standered PSO. This new algorithm is inspired by the intelligent behavior of bu...

The Bacterial Foraging (BF) is a global optimization algorithm that imitates the foraging behavior of Escherichia coli (E. coli) bacteria. Foraging habit of individuals and groups of E. coli bacteria for nutrients is modeled as a distributed optimization process. This paper applies this powerful algorithm to design an optimal controller for a single-machine-infinite-bus (SMIB) system equipped w...

This paper presents a novel Butterfly-PSO optimization technique for optimal sizing and siting of the distributed generations (DGs). The validity of the evaluated results is confirmed by comparing with well known Genetic Algorithm (GA) and Standard or Conventional Particle Swarm Optimization (PSO). To exhibit it’s compatibility in terms of load management an impact of different load models on t...

Automatic Generation Control is necessary for reliable & continuous operation of power system which is obtained by using different controllers. For efficient operation of the system, optimization of the different controlling parameters is necessary which can be obtained by using optimization techniques. Some of these techniques like genetic algorithm, BF, PSO etc. are discussed and a review is ...

<p dir="ltr"><span>This paper presents a hybrid algorithm that combines the particle swarm optimization method with bacteria foraging technique, named: BF-PSO. The aim is to achieve more efficient and precise parameters determination of regulators leads performance improvement in speed-loop control an induction motor (IM) implemented direct torque (DTC). approach consists tuning pro...

Distribution network reconfiguration for loss minimization is a complex, large-scale combinatorial optimization problem. In this paper, a novel method called bacterial foraging optimization algorithm with particle swarm optimization strategy (BF-PSO) algorithm is applied to solve this problem. To verify the effectiveness of the proposed method, the optimization calculations of IEEE 69-bus testi...

In this paper, a combinational optimization algorithm is introduced to obtain the best size and location of Static Compensator (STATCOM) in power systems. Its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. The objective of the proposed algorithm is firstly to pr...

In a previous work we used a popular bio-inspired algorithm; particle swam optimization (PSO) to improve the performance of a well-known representation method of time series data which is the symbolic aggregate approximation (SAX), where PSO was used to propose a new weighted minimum distance WMD for SAX to recover some of the information loss resulting from the original minimum distance MINDIS...