Abstract
A new design of decentralized load-frequency controllers for interconnected power systems with AC-DC parallel tie-lines and governor dead band (GDB) nonlinearity using multi-objective evolutionary algorithm (MOEA) is proposed. A HVDC link is connected in parallel with an existing ac tie-line to stabilize the frequency oscillations of the ac system. The proposed control strategy is mainly based on a compromise between integral squared error and maximum stability margin criteria. A two area interconnected thermal power system is considered to demonstrate the validity of the proposed controller. The simulation results show that the system dynamic performance has been improved with increased stability margin when compared to a conventional controller.
Highlights
Governor w ith deadbandDesign of decentralized proportional plus integral design needs to be developed based on a compromise controller using integral of the squared error (ISE) criterion between the ISE design criterion and MSM design
The optimum parameter values of the conventional (MOEA) is proposed
The simulation results show that the system controllers with improved stability margin, they are dynamic performance has been improved with increased designed on the basis of maximum stability margin stability margin when compared to a conventional (MSM) criterion using Lyapunov method
Summary
Design of decentralized proportional plus integral design needs to be developed based on a compromise controller using ISE criterion between the ISE design criterion and MSM design. The decentralized proportional plus integral controller gains using ISE criterion are designed as discussed in (Nanda and Kaul, 1978) and the values obtained are kP =0.33 and kI = 0.34. Design of decentralized proportional plus integral controller using MSM criterion. The design of proportional plus integral controller with improved stability using MSM criterion by Lyapunov method (Tripathy et al, 1982) is discussed . The proportional controller feedback gains obtained by ISE and MSM criteria, namely kP =0.33 and k’P =-0.1, are treated as the upper and lower bounds for the decision variable kPm in the MOEA. 34, are treated as the upper and lower bounds for the decision variable kIm. The proposed controller feedback gains are obtained as kPm =0.14 and kI m =0.96 using MOEA. The recommended values of ε1=0.05 and ε2=0.05 are found to be robust enough and are used in our study
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