In this work, a comparative study is analysed between the fractional‐order controllers such as fractional‐order proportional–integral–derivative (FOPID), two‐degree‐of‐freedom proportional–integral–derivative (DOF FOPID) and 3DOF FOPID, and conventional controllers such as proportional–integral–derivative (PID), 2DOF PID and 3DOF PID employed in automatic generation control (AGC) in power system. The proposed 3DOF FOPID controller is validated as superior one among all other controllers. The gains of all the controllers are optimally plucked by novel salp swarm algorithm (SSA). Further, hybrid salp swarm algorithm–simulated annealing (hSSA‐SA) algorithm is introduced to enhance the proficiency of 3DOF FOPID controller by sensibly plucking the gain parameters. The proposed approaches are implemented in a two‐area thermal‐hydro‐diesel system. Small hydro plants (SHPs) of similar characteristics are enforced in both areas with their dynamic responses by conceding frequency deviations of each area. Further, sensitivity and robustness analysis of the system with and without SHP are observed by varying some important parameters of the system. Finally, the supremacy of three novel approaches (fractional based controllers, hSSA‐SA and SHP) is substantiated gracefully.
Summary
A knowledgeable and intelligent control strategy for automatic generation control (AGC) is required to supply reliable, secure, and stable power in most complex power system. So a proficient controller for AGC is indispensable to supply quality power with frequent load demand divergence. A novel two degree of freedom optimized fuzzy PID (2DOF OFPID) controller is proposed for the purpose to counterbalance generation and demand power expeditiously. This proposed controller is incorporated by blending the benefits of 2DOF PID and optimized fuzzy logic controller (FLC). The parameters and rules of proposed controller are decided by symbiotic organism search (SOS) and proposed passing vehicle search optimized fuzzy‐based SOS (PVSOFSOS) algorithms. In this work, the decisive parameters of SOS algorithm are decided by FLC. The rules of FLC in proposed algorithm are decided by PVS algorithm. The preeminence of proposed algorithm over SOS and PVS algorithms is demonstrated by resolving 12 benchmark functions (constraint and unconstrained). Further, the proposed approaches are implemented in two‐area and three‐area thermal power systems with load variation enforced in area 1. The effectiveness of the proposed approaches are graded by conceding maximum undershoot/overshoot and settling time. Sensitivity analysis of the system with proposed optimal controller is validated with large variations of system parameters. It is observed that PVSOFSOS‐based 2DOF OFPID controller proposed for AGC is more adequate as compared to some recently proposed techniques.
Design and performance analysis of load flow frequency of a two area four unit interconnected non-reheat thermal power system is depicted in this paper. Two different controllers that are fuzzy proportional integral-derivative (FPID) controller & proportional integral-derivative (PID) are used to study transient response of the proposed system. Area1 consists of two thermal generating units with non-reheat turbines as well as area2 also. The gains of FPID & PID controllers are optimized by using a novel Teaching Learning Based Optimization (TLBO) technique.Step load of 10 % is applied to area1 to study dynamic performance of different proposed controller. Finally it is observed that the FPID controller of single input configuration performs better than the other.
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