Title :
Optimal load frequency control based on artificial bee colony optimization applied to single, two and multi-area interconnected power systems
Author :
El Yakine Kouba, Nour ; Menaa, Mohamed ; Hasni, Mourad ; Boudour, Mohamed
Author_Institution :
Lab. of Electr. Ind. Syst. (LSEI), Univ. of Sci. & Technol. Houari Boumediene (USTHB), Algiers, Algeria
Abstract :
This paper describes an application of Artificial Bee Colony (ABC) to load frequency control (LFC) in single, two and multi-area interconnected power systems. The proposed ABC algorithm is used to obtain the optimal values of the proportional-integral-derivation (PID) controller parameters based load frequency control (LFC). The principal function of the LFC loop is to control the frequency and active power. The main aim of this work is to suppress all the fluctuations of the system due to the disturbance and get back the frequency at nominal value. In order to analyze the system frequency and the tie-line power flow with the varying of the load, the simulation is performed under load disturbances. Simulation results showed good performance in terms of settling time and peak overshoot of the proposed approach compared to the traditional Ziegler-Nichols, Genetics Algorithm (GA), Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO) methods, and the ability of the proposed algorithm to solve load frequency control problems under different disturbances is confirmed.
Keywords :
ant colony optimisation; frequency control; load regulation; optimal control; power system control; power system interconnection; three-term control; ABC algorithm; LFC loop; PID controller parameters; active power control; artificial bee colony optimization; fluctuations suppression; load disturbances; load varying; multiarea interconnected power systems; optimal load frequency control; optimal values; proportional-integral-derivation controller parameters; single-area interconnected power systems; system frequency; tie-line power flow; two-area interconnected power systems; Frequency control; Genetic algorithms; Load modeling; Optimization; Power system stability; Time-frequency analysis; Artificial Bee Colony Optimization(ABC); Load Frequency Control (LFC); Optimal Control; PID Controller;
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
DOI :
10.1109/CEIT.2015.7233027