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Use of the Genetic Algorithm-based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power System

ABSTRACT

The use of renewable energy resources has created some problems for power systems. One of the most important of these is load frequency control (LFC). In this study, in order to solve the LFC problem, modern control methods were applied to a two area multi source interconnected power system. A photovoltaic solar power plant (PV-SPP) was also connected, in order to identify the harmful effects on the frequency of the system. A new Genetic-based Fuzzy Logic (GA-FL) controller was designed to control the frequency of the system.

For comparison, conventional proportional-integral-derivative (PID), fuzzy logic (FL), and Genetic Algorithm (GA)-PID controllers were also designed. The new control method exhibited a better performance than the conventional and other modern control methods, because of the low overshoot and short settling time. All simulations were realized with the Matlab-Simulink program.

MATERIALS AND METHODS

Figure 1. A two area three source interconnected system block diagram

Figure 1. A two area three source interconnected system block diagram

In this study, a two area three source interconnected renewable energy power system was modelled, which is shown in Figure 1. A thermal unit (TU), a thermal generator unit with a reheat unit (RTU), and a PV-SPP were connected to the system as energy resources. The TUs and the RTUs were practically employed in some literature for the LFC. Since the use of PV-SPPs in grids has gradually increased in the last few years, a PV-SPP was incorporated into the system.

Figure 4. A LFC applied a single area interconnected power system

Figure 4. A LFC applied a single area interconnected power system

The blocks used in a single area interconnected power system are generally nonlinear systems. The loads at the operating point and the PV-SPP affect the frequency of the system. A LFC applied to a single area interconnected power system, which is shown in Figure 4, has a turbine, a generator, and other system blocks. Additionally, a PV plant generated through sunlight is demonstrated. For the system, a control responds as quickly as possible. The control process has been realized in two phases, as a primer and a seconder frequency control.

RESULTS AND DISCUSSION

Figure 20. Changes in the ACE 2 in the area 2: (a) during all simulation time; (b) 5th change; (c) 18th change

Figure 20. Changes in the ACE 2 in the area 2: (a) during all simulation time; (b) 5th change; (c) 18th change

Figure 22. Changes in the frequency, ∆F2, in area 2: (a) PID; (b) GA-FLC; (c) GA-PID; (d) FLC

Figure 22. Changes in the frequency, ∆F2, in area 2: (a) PID; (b) GA-FLC; (c) GA-PID; (d) FLC

Detailed simulation results of the interconnected network in area 2 are given in Figures 20–22. The variations of ACE 2 values throughout the entire simulation are illustrated in Figure 20a and the special cases are shown in Figure 20b,c. Here, the case of both sudden load fluctuations and the responses of the system variables for long-term power reduction in solar power plants, are observed. As noted in Table 6, the proposed GA-FLC reached a settling time value of 5.1 s and then quickly minimized the error. In addition, the proposed GA-FLC provided at least three times more overshoot than the GA-PID controller, as shown in Figure 20b and Table 6.

CONCLUSIONS

In this paper, a new GA-FLC controller was proposed for frequency stability problems in a two area multi source interconnected power system. The power system to be controlled was consisted of a thermal, a reheated thermal, and a PV unit. In addition to the proposed controller, conventional PID, FL, and GA-based PID controllers were designed. All systems and controllers were designed and simulated with the Matlab-Simulink program. In the simulations, a change in the frequencies and the tie-line power were observed by implementing each controller. Since there was a two-area power system and they were connected by a tie-line, the outputs of ∆F1, ∆F2, and ∆P tie of the system were individually plotted.

As can be seen from the data in Table 6, the proposed controller produces better results than the other controllers, both in terms of overshoot and settling time values. These values were taken during the load increase and the solar power decrease periods. Therefore, this demonstrates the reaction of the system at the moment of operation and a more realistic simulation was realized. The proposed GA-FLC has three membership functions with an optimized GA, and twenty-five rules. Owing to the proposed controller, the system frequency is affected at a minimum rate when the power changes on the PV-SPP because of climatic conditions. Moreover, the ability of the system to adapt to sudden power fluctuations at the operation point was also improved.

In the meantime, the optimum values of the Kp, Ki, and Kd parameters for the PID controller were determined by the Zigler-Nichols method. In conclusion, the frequency stability problem caused by solar energy sources in the interconnected power systems was abolished. According to these results, for the frequency stability, the proposed GA-FLC yielded an efficiency of about 90% compared to the conventional PID controllers. Moreover, it was observed that the overshoot value of the proposed control technique was 75% better than the FLCs, and approximately 40% better than the GA-PID controllers. Ultimately, since the the overshoot values and the settling time values directly affect the operating lifetimes, operating costs, and efficiencies of the grid, the proposed GA-FLC would be beneficial and advisable for an interconnected power system with solar power sources.

Source: Kirikkale University
Authors: Ertugrul Cam | Goksu Gorel | Hayati Mamur

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