Title :
Optimal load frequency control based on hybrid bacterial foraging and particle swarm optimization
Author :
El Yakine Kouba, Nour ; Menaa, Mohamed ; Hasni, M. ; Boussahoua, Bouziane ; Boudour, Mohamed
Author_Institution :
Lab. of Electr. Ind. Syst. (LSEI), Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria
Abstract :
This paper presents an application of a hybrid technique combining bacterial foraging with particle swarm optimization (BF-PSO) for determining the optimal values for the proportional-integral-derivation (PID) controller for a load frequency control (LFC) of two-area interconnected power system. This method is compared to the heuristic optimization method (PSO) and to bacterial foraging optimization (BFO) thereby to the traditional Ziegler-Nichols method. The results of PID-tuning are compared with the results of I, ID and PI controllers. The transient responses are shown due to step load disturbances in area-1. The main primary objective is to suppress all the fluctuations of the system frequency and tie line power flow.
Keywords :
frequency control; load flow control; optimal control; particle swarm optimisation; power system control; power system interconnection; three-term control; transient response; BF-PSO; LFC; PID controller; PID-tuning; bacterial foraging with particle swarm optimization; fluctuation suppression; hybrid bacterial foraging; optimal load frequency control; proportional-integral-derivation controller; step load disturbances; tie line power flow; transient responses; two-area interconnected power system; Generators; Load modeling; Microorganisms; Bacterial Foraging Optimization (BFO); Load Frequency Control; PID Controllers; Particle Swarm Optimization (PSO); Ziegler-Nichols method; hybrid BF-PSO;
Conference_Titel :
Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International
Conference_Location :
Barcelona
DOI :
10.1109/SSD.2014.6808817