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access icon free Employment of quasi oppositional SSA-based two-degree-of-freedom fractional order PID controller for AGC of assorted source of generations

© The Institution of Engineering and Technology
Received 20/03/2019, Accepted 03/02/2020, Revised 31/10/2019, Published 14/05/2020

A novel quasi-oppositional-based salp swarm algorithm (QSSA) is used to obtain the optimal values of controllers for automatic generation control of the two-area, assorted source of the generation-based power system. Thermal, hydro, and gas generating units are considered in the power system. Optimal values of proportional–integral–derivative (PID) controllers obtained using SSA and QSSA are compared with that of PID controllers based on differential evolution, teaching learning-based optimisation, and imperialist competitive algorithm. Observing the superiority with a QSSA-based PID controller, the study is protracted to obtain the optimal values of two-degree-of-freedom conventional PID (2DOF-PID) and 2DOF fractional order PID (2DOF-FOPID) controller with SSA and QSSA techniques. It is evidenced that QSSA outperforms SSA and also the QSSA-based 2DOF-FOPID controller establishes a better dynamic response than other controllers. 2DOF-FOPID controller is also employed for the system with generation rate constraint (GRC). The complete analysis is carried out by applying a step load disturbance of 1 p.u. in area-1. Robustness of the controller is verified by varying the systems' parameters and a randomly varying loading pattern in both areas with and without GRC. In both cases, the proposed QSSA-based 2DOF-FOPID controller is found firmly robust.

Inspec keywords: dynamic response; hydroelectric power stations; optimisation; power generation control; control system synthesis; three-term control; thermal power stations; evolutionary computation

Other keywords: 2DOF fractional order PID controller; controller design; integral time absolute error; dynamic response; imperialist competitive algorithm; system parameters; quasioppositional SSA-based two-degree-of-freedom fractional order PID controller; generation rate constraint; differential evolution; automatic generation control; QSSA-based conventional PID controller; novel quasioppositional-based salp swarm algorithm; conventional proportional–integral–derivative controllers; 2DOF-FOPID controller; objective function; QSSA-based 2DOF-FOPID controller; 2DOF-PID; generation-based power system; step load disturbance; two-area assorted source; AGC; two-degree-of-freedom conventional PID; teaching learning-based optimisation

Subjects: Power system control; Control of electric power systems; Hydroelectric power stations and plants; Optimisation techniques; Thermal power stations and plants; Optimisation techniques; Control system analysis and synthesis methods

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