Impact of Large-Scale Wind Power Penetration on Dynamic Voltage Stability of Interconnected Power System: An Indonesia Case Study

Krismanto, Awan Uji; Sulistiawati, Irrine Budi; Limpraptono, F. Yudi; Priyadi, Ardyono; Setiadi, Herlambang; Abdillah, Muhammad

doi:10.22266/ijies2021.0831.23

Cited by 6 publications

(9 citation statements)

References 23 publications

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“…Errors are then controlled using conventional PI controllers to derive the reference values of d and q currents. By considering β dgen and β qgen as auxiliary state variables of the outer control loop of the generator-side converter, state equations of the controller can be represented by [22].…”

Section: Wind Power Systemmentioning

confidence: 99%

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Multi-Mode Damping Control Approach for the Optimal Resilience of Renewable-Rich Power Systems

et al. 2022

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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 behaviour 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 optimisation method to design 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%.

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Section: Wind Power Systemmentioning

confidence: 99%

“…These modulation indices are then employed as control variables for the PWM switching scheme of the converter. Algebraic equations of the reference signals corresponding to the modulation indices for the generator-side converter are given by the following equations [22]:…”

Section: Wind Power Systemmentioning

confidence: 99%

Multi-Mode Damping Control Approach for the Optimal Resilience of Renewable-Rich Power Systems

et al. 2022

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“…The signal errors are then synthesized using the conventional PI controller to derive reference values of d-axis and q-axis currents. By considering β dgen and β qgen as auxiliary state variables of the outer control loop of the generator side converter, state equations of the controller can be stated as in Equation ( 15) [23].…”

Section: Dynamic Model Of Wecsmentioning

confidence: 99%

“…These modulation indices are afterward employed as control variables for the PWM scheme of the converter. Furthermore, the algebraic equations of modulation indices reference signal can be obtained as in Equations ( 19) and ( 20) [23]:…”

Section: Dynamic Model Of Wecsmentioning

confidence: 99%

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An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems

et al. 2022

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Maintaining power system stability in renewable-rich power systems can be a challenging task. Generally, the renewable-rich power systems suffer from low and no inertia due to the integration of power electronics devices in renewable-based power plants. Power system oscillatory stability can also be affected due to the low and no inertia. To overcome this problem, additional devices that can emulate inertia without adding synchronous machines can be used. These devices are referred to as virtual synchronous machines (VISMA). In this paper, the enhancement of oscillatory stability of a realistic representative power system using VISMA is proposed. A battery energy storage system (BESS) is used as the VISMA by adding an additional controller to emulate the inertia. The VISMA is designed by using Fruit Fly Optimization. Moreover, to handle the uncertainty of renewable-based power plants, the VISMA parameters are designed to be adaptive using the extreme learning machine method. Java Indonesian Power Grid has been used as the test system to investigate the efficacy of the proposed method against the conventional POD method and VISMA tuning using other methods. The simulation results show that the proposed method can enhance the oscillatory stability of the power system under various operating conditions.

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An overview of wind energy to optimize initial potential in Java

Megawati,

Haryani,

Sukarmin

et al. 2024

E3S Web Conf.

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The amount of energy derived from fossil fuels has been dwindling rapidly while its consumption has gradually increased. Indonesia, especially Java and East Nusa Tenggara islands, has excellent potential for developing renewable energy and an environmentally friendly economy. One of the more comprehensive energy resources is wind, which can provide renewable resources because it is renewable, widespread, and abundant. Wind energy can be used as an alternative energy material instead of fossil fuels in power generation systems. This article explores the potential of wind energy as a renewable energy source in Java through a literature study. Data was collected by collecting references from nationally and internationally reputable indexed books and journals related to the topic and government website platforms, reports and other relevant sources. The results showed that wind energy in several areas of Java Island has the potential to become renewable energy for power generation. The benefits of renewable energy can outweigh the drawbacks.

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Impact of Large-Scale Wind Power Penetration on Dynamic Voltage Stability of Interconnected Power System: An Indonesia Case Study

Cited by 6 publications

References 23 publications

Multi-Mode Damping Control Approach for the Optimal Resilience of Renewable-Rich Power Systems

Multi-Mode Damping Control Approach for the Optimal Resilience of Renewable-Rich Power Systems

An Extreme Learning Machine Based Adaptive VISMA for Stability Enhancement of Renewable Rich Power Systems

An overview of wind energy to optimize initial potential in Java

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