Design of PID controller using multi-objective genetic algorithm for load frequency control in interconnected power systems

作者：Farahani Mohsen^*

来源：Journal of Intelligent and Fuzzy Systems, 2014, 27(2): 709-716.

DOI：10.3233/IFS-131029

• Load frequency control (LFC)
• multi objective optimization algorithm
• genetic algorithm
• Pareto-set

This paper proposes an evolutionary multi-objective optimization approach for load frequency control in interconnected power systems. The design purpose is to improve the dynamic response of an interconnected power system after load demand changes. A genetic algorithm (GA)-based solution technique is applied to generate a Pareto set of global optimal solutions to the given multi-objective optimization problem. In addition, the best compromise solution from the obtained Pareto solution set is selected by a fuzzy-based membership value assignment method. Simulation results are presented and compared with conventional GA-PID controller and another new controller. All the simulations show the successful performance of proposed approach in controlling the frequency of the power system.

• 出版日期2014