This research was conducted as a reference for practitioners to design a robust damping controller with a multi-mode concept for a renewable-rich energy power system.
The integration of power-electronics-based power plants is developing significantly due to the proliferation of renewable energy sources. Although this type of power plant could positively affect society in terms of clean and sustainable energy, it also brings adverse effects, especially with the stability of the power system. The lack of inertia and different dynamic characteristics are the main issues associated with power-electronics-based power plants that could affect the oscillatory behavior of the power system. Hence, it is important to design a comprehensive damping controller to damp oscillations due to the integration of a power-electronics-based power plant. This paper proposes a damping method for enhancing the oscillatory stability performance of power systems with high penetration of renewable energy systems. A resilient wide-area multimodal controller is proposed and used in conjunction with a battery energy storage system (BESS) to enhance the damping of critical modes. The proposed control also addresses resiliency issues associated with control signals and controllers. The optimal tuning of the control parameters for this proposed controller is challenging. Hence, the firefly algorithm was considered to be the optimization method for designing the wide-area multimodal controllers for BESS, wind, and photovoltaic (PV) systems. The performance of the proposed approach was assessed using a modified version of the Java Indonesian power system under various operating conditions. Both eigenvalue analysis and time-domain simulations are considered in the analysis. A comparison with other well-known metaheuristic methods was also carried out to show the proposed method’s efficacy. Obtained results confirmed the superior performance of the proposed approach in enhancing the small-signal stability of renewable-rich power systems. They also revealed that the proposed multimodal controller could enhance the penetration of renewable energy sources in the Javan power system by up to 50%.
This paper proposed a firefly-algorithm-based resilient wide-area multimodal controller (MMC) for power systems with large BESS, wind, and PV integration. The performance of the proposed approach was assessed using a modified version of the Java, Indonesia power system. The considered case studies confirmed the ability of the proposed resilient wide-area MMC to maintain satisfactory damping ratios even under severe communication and controller failures and in the presence of various renewable energy penetration levels. The outage of two consecutive controllers had a significant effect on the damping performance of the system. From the results, it is evident that some critical control loops in the MMC had a higher impact on the system damping margin due to the controllability and observability of the loop. Additionally, the proposed controller had no adverse effects on the internal dynamics of the wind, PV, and BESS systems, as shown by the nonlinear time-domain responses of wind, PV, and BESS. The proposed multimodal controller can enhance the penetration of renewable energy penetration in the Java power system by up to 50%. Moreover, FA achieved better performance compared with that of the other algorithms in this paper. In terms of execution time, FA could find the MMC parameters in around 7 min, while the other algorithms required more than 10 min. Further research can be conducted by designing an adaptive MMC on the basis of an extreme learning machine to handle the uncertainty of a renewable power plant.
Author: Herlambang Setiadi, Ph.D
