Title :
Harmony Search Algorithm-Based Controller Parameters Optimization for a Distributed-Generation System
Author :
Ambia, Mir Nahidul ; Hasanien, Hany M. ; Al-Durra, Ahmed ; Muyeen, S.M.
Author_Institution :
Electr. Eng. Dept., Pet. Inst., Abu Dhabi, United Arab Emirates
Abstract :
This paper presents the utilization of a harmony search algorithm (HSA) to optimally design the proportional-integral (PI) controllers of a grid-side voltage source cascaded converter with two additional loops for smooth transition of islanding and resynchronization operations in a distributed-generation (DG) system. The first loop is the frequency-control loop which is superimposed on the real power setpoint of the cascaded controller of the voltage-source converter to minimize the frequency variation during the transition from the grid mode to islanding mode. The second loop is the resynchronization loop which reduces the phase shift of the ac voltages of the DG with the utility grid ac voltages during islanding operation leading to a successful grid reconnection event. The response surface methodology (RSM) is used to build the mathematical model of the system dynamic responses in terms of PI controllers´ parameters. The effectiveness of the proposed PI control scheme optimized by the HSA is then compared with that optimized by both genetic algorithm and conventional generalized reduced gradient techniques. The HSA code is built using the MATLAB software program. The validity of the proposed system is verified by the simulation results which are performed using PSCAD/EMTDC.
Keywords :
PI control; cascade control; distributed power generation; dynamic response; frequency control; genetic algorithms; gradient methods; power convertors; power generation control; power grids; response surface methodology; search problems; synchronisation; DG system; HSA code; MATLAB software program; PI control scheme; PI controllers; PSCAD-EMTDC; RSM; cascaded controller; controller parameter optimization; distributed generation system; frequency control loop; genetic algorithm; gradient techniques; grid-side converter; harmony search algorithm; islanding mode; proportional-integral controllers; response surface methodology; resynchronization loop; system dynamic responses; utility grid AC voltages; voltage source cascaded converter; Frequency control; Induction generators; Islanding; Mathematical model; Optimization; Voltage control; Wind turbines; Distributed generation (DG); genetic algorithm (GA); grid-side converter; harmony search algorithm (HSA); proportional-integral (PI) controller;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2014.2358940