Genetic algorithm tuned IP controller for Load Frequency Control of interconnected power systems with HVDC links

A new design of decentralized Load Frequency Controller for interconnected thermal non-reheat power systems with AC-DC parallel tie-lines based on Genetic Algorithm (GA) tuned Integral and Proportional (IP) controller is proposed in this paper. A HVDC link is connected in parallel with an existing AC tie-line to stabilize the frequency oscillations of the AC tie-line system. Any optimum controller selected for load frequency control of interconnected power systems should not only stabilize the power system but also reduce the system frequency and tie line power oscillations and settling time of the output responses. In practice Load Frequency Control (LFC) systems use simple Proportional Integral (PI) or Integral (I) controller. The controller parameters are usually tuned based on classical or trial-and-error approaches. But they are incapable of obtaining good dynamic performance for various load change scenarios in multi-area power system. For this reason, in this paper GA tuned IP controller is used. A two area interconnected thermal non-reheat power system is considered to demonstrate the validity of the proposed controller. The simulation results show that the proposed controller provides better dynamic responses with minimal frequency and tie-line power deviations, quick settling time and guarantees closed-loop stability margin

Genetic algorithm tuned IP controller for Load Frequency Control of interconnected power systems with HVDC links

A new design of decentralized Load Frequency Controller for interconnected thermal non-reheat power systems with AC-DC parallel tie-lines based on Genetic Algorithm (GA) tuned Integral and Proportional (IP) controller is proposed in this paper. A HVDC link is connected in parallel with an existing AC tie-line to stabilize the frequency oscillations of the AC tie-line system. Any optimum controller selected for load frequency control of interconnected power systems should not only stabilize the power system but also reduce the system frequency and tie line power oscillations and settling time of the output responses. In practice Load Frequency Control (LFC) systems use simple Proportional Integral (PI) or Integral (I) controller. The controller parameters are usually tuned based on classical or trial-and-error approaches. But they are incapable of obtaining good dynamic performance for various load change scenarios in multi-area power system. For this reason, in this paper GA tuned IP controller is used. A two area interconnected thermal non-reheat power system is considered to demonstrate the validity of the proposed controller. The simulation results show that the proposed controller provides better dynamic responses with minimal frequency and tie-line power deviations, quick settling time and guarantees closed-loop stability margin

Optimal Decentralized Load Frequency Control in a Parallel AC-DC Interconnected Power System Through HVDC Link Using PSO Algorithm

AbstractA new design of decentralized load-frequency controller for interconnected power systems with ac-dc parallel using Particle Swarm Optimization (PSO) algorithm is proposed in this paper. A HVDC link is connected in parallel with an existing ac tie-line to stabilize the frequency oscillations of the ac system. Any optimum controller selected for load frequency control of interconnected power systems should not only stabilize the power system but also reduce the system frequency and tie line power oscillations and settling time of the output responses. In practice Load Frequency Control (LFC) systems use simple Proportional Integral (PI) or Integral (I) controller parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamic performance for various load change scenarios in multi-area power system. For this reason, in this paper the PI and I control parameters are tuned based on PSO algorithm method for the LFC control in the two-area power system. A two area interconnected thermal power system is considered to demonstrate the validity of the proposed controller. The simulation results show that the proposed controller provides better dynamic responses with minimal frequency and tie-line power deviations, quick settling time and guarantees closed-loop stability margin

A novel revolutionary substantial transformative control technique for solar fed-full bridge converter based energy stabilization for grid connected applications

Nowadays, there is a need to increase the continuous usage of the power electronic converters like AC-DC, DC–DC, and DC–AC based on various applications like mobile charge controller and telecom base station. Also, for power stability control, these converters are utilized in the renewable energy system (RES). The output cannot be stable for a longer duration due to the inappropriate switching pulse and continued usage of the converter. For resolving the above issues, the soft-switching technique is implemented in the proposed system for controlling both converter and inverter for proper energy stabilization during the continuous operation of devices. The main objective of this work is to improve the solar power system using high voltage gain DC / DC converter. Similarly, an inverter delivers the continuous AC power to the grid system without any fluctuations. The revolutionary substantial transformative control (RSTC) technique has been employed to monitor and control the converters used in this system. The additional advantage of this system is battery-based energy management, which is only utilized under necessary conditions. During the initial stage, RSTC will track the solar power, and it compares with the reference voltage and produces the appropriate pulse to the converter switch. Based on the switching pulse, the full-bridge converter (FBC) will also enhance the DC voltage by providing the constant voltage for the grid-connected inverter system. Secondly, the proposed RSTC controller will be monitoring voltage amplitude and frequency of grid power system. If any variation appears due to source power fluctuation, the controller will recognize it and automatically vary the pulse width modulation (PWM) of an inverter and compensate the grid power. The design analysis and operating approaches of the proposed converter are verified by MATLAB / Simulink 2017b. The performance analysis has been done with various parameters like total harmonics distortion (THD), steady-state error and converter efficiency