Yuan Kang Wu

• PhD
• Professor at National Chung Cheng University

Wind turbines (WTs) represent one of the primary technologies for harnessing renewable energy sources (RES) globally. However, integrating a large number of WTs into the power system lowers system inertia, requiring system operators to rely on WTs for frequency control during recovery after disturbances. This paper examines frequency control method...

With the ongoing energy transition and the increasing installation capacity of wind power generation, recent advancements in research have demonstrated that accurate numerical weather prediction (NWP) can improve the quality of wind power forecasting. While most studies have primarily focused on the effects of bias-corrected NWPs on wind speeds, fe...

Increasing global awareness of environmental protection has heightened concerns over global warming. Renewable energy sources (RESs), notably solar power, play a crucial role in reducing emissions. However, solar power generation is inherently intermittent and heavily dependent on weather conditions. Accurate forecasting is crucial for the effectiv...

The employment of behind‐the‐meter solar photovoltaic (PV) systems has gained increasing popularity in recent years as more individuals and organizations aim to reduce their reliance on conventional grid‐connected power sources and take advantage of the environmental and economic benefits of solar power. However, precisely estimating the potential...

The use of renewable energy is on the rise; however, it brings more challenges for grid operations and unit scheduling due to the intermittent nature and limitations in predicting renewable power generation. High-quality meteorological forecasts play a critical role in the effective application and management of renewable energy resources. This stu...

Wind Turbine (WT) is one of the main renewable energy sources (RES) in the world. However, if a large number of WTs is connected to a power system, the system inertia will be decreased. Thus, system operators require WTs to support frequency control for assisting the frequency recovery when a disturbance occurs. This study established user-defined...

As the utilization of wind power systems continues to increase, reducing overall system inertia, there is a consequential negative impact on the power system’s ability to regulate frequency. Consequently, this study focuses on examining the fast-frequency regulation in high penetration of wind power, especially doubly fed induction generators—the m...

This study introduced a novel control approach based on fuzzy logic control (FLC) to enhance the frequency regulation capacity of variable-speed wind turbines (VSWTs). The proposed method integrates FLC within droop and inertia control loops. Real-time measurements of the system frequency and the rate of change of frequency (ROCOF) serve as inputs...

With the rise of environmental awareness and carbon emissions concerns, many regions in the world have growing integrations of renewable energy sources (RES) and energy storage into both conventional transmission grids and distribution grids in the past two decades. Even though the grid resilience can be indeed improved in some aspects, power elect...

Power systems are generally designed to be reliable when faced with low-impact, high-probability, and expected power outages. By contrast, the probability of extreme event (extreme weather or natural disasters) occurrence is low, but may seriously affect the power system, from long outage times to damage to major equipment such as substations, tran...

In modern power systems, the increasing penetration of renewable energy resources has reduced frequency stability. Consequently, wind turbines (WTs) are expected to participate in frequency regulation. By integrating the electrostatic energy stored in the DC capacitor with the kinetic energy stored in the rotating mass of the WT, an advanced contro...

The increasing integration of renewable energy sources (RESs) into the power system reduces system inertia, which presents substantial challenges for maintaining frequency stability. Existing studies have mainly focused on using the load frequency control method (LFC) to stabilize area frequency and tie-line power by optimizing the parameters of su...

Climate change poses a significant threat to humanity. Achieving net-zero emissions is a key goal in many countries. Among various energy resources, solar power generation is one of the prominent renewable energy sources. Previous studies have demonstrated that post-processing techniques such as bias correction can enhance the accuracy of solar pow...

With the increasing penetration of renewable energy, power system inertia is reduced; thus, frequency stability faces tremendous challenges. Offshore wind farms (WFs) are often integrated to the grid through a voltage-source-converter-based high-voltage direct current (VSC-HVDC) transmission. However, traditional WFs cannot provide frequency suppor...

Wind power generation is one of the mainstream renewable energy resources. Voltage stability is as important as the frequency stability of a power system with a high penetration of wind power generation. The advantages of high-voltage direct current (HVDC) transmission systems become more significant with the increase of both installed capacity and...

Nowadays, wind power generation has become vital thanks to its advantages in cost, ecological friendliness, enormousness, and sustainability. However, the erratic and intermittent nature of this energy poses significant operational and management difficulties for power systems. Currently, the methods of wind power forecasting (WPF) are various and...

Wind power generation is one of the mainstream renewable energy resources. Voltage stability is as important as the frequency stability of a power system with a high penetration of wind power generation. The advantages of high-voltage direct current (HVDC) transmission systems become more significant with the increase of both installed capacity and...

Forecasting solar photovoltaic (PV) power generation has become important due to the chaotic and intermittent nature of solar power. With the development of artificial intelligence (AI) techniques, various deep learning algorithms have been shown to be very powerful for renewable power forecasts. This study aims to develop a probabilistic forecasti...

Solar power forecasting is essential for optimizing energy management and ensuring stable grid operations. Accurately forecasting solar irradiance is a key factor to improve solar power forecasts because of a strong relationship between solar power generation and solar irradiance. However, the accuracy of solar irradiance forecasting is affected la...

In response to the rising frequency of high-impact, low-probability events like earthquakes and flash floods, which threaten Power Distribution Systems (PDSs) and lead to extended power outages, researchers have prioritized bolstering the resilience of these systems. This paper presents a strategy for optimizing the placement of flood resilient Ele...

Over the past years, extreme weather events such as typhoons and earthquakes have become more frequent and severe across the globe. These events leave thousands of people without electricity and cost utility companies millions of dollars for grid restoration. Therefore, power system resilience, which focuses on high-impact, low-probability events,...

As the penetration of photovoltaic (PV) solar generation has increased, a significant number of residential and commercial solar PV systems have been installed without meters. The majority of these systems, however, are also not monitored by power system operators. Therefore, the uncertainty of the net load owing to this “invisible” solar power gen...

The proportion of renewable power generation in the world has been increasing in recent years. However, the fluctuations and uncertainties of renewable power generation bring a considerable challenge to future unit scheduling. Therefore, the generation flexibility in power systems becomes more critical as a large amount of renewable generation is i...

Solar power has rapidly become an increasingly important energy source in many countries over recent years; however, the intermittent nature of photovoltaic (PV) power generation has a significant impact on existing power systems. To reduce this uncertainty and maintain system security, precise solar power forecasting methods are required. This stu...

Photovoltaic power has become one of the most popular energy due to environmental factors. However, solar power generation has brought many challenges for power system operations. To optimize safety and reduce costs of power system operations, an accurate and reliable solar power forecasting model is significance. This study proposes a deep learnin...

In the era of big data, large period of missing data is a common problem which affect the data quality and final forecasting results if not handled properly. Therefore, filling missing data in datasets is importance since the most of real-time datasets have a huge number of missing values. This paper first gives a comprehensive overview of various...

Solar power forecasting has already become a key role in energy market. However, forecasting PV generation is a challenging task because solar energy strongly depends on weather conditions, day/night cycles and meteorological variables such as solar irradiance, temperature, humidity, etc. Therefore, integrating solar power into grids requires accur...

Because of climate changes, natural disasters are becoming more serious. For instance, the intensity of typhoons has been increasing in recent years. Typhoons and other natural disasters have high-impact low-probability characteristics. Thus, procedures for preparing for natural disasters and increasing power system resilience are important issues....

In recent years, the penetration of photovoltaic (PV) power generation in Taiwan has increased significantly. However, most photovoltaic facilities, especially for small-scale sites, do not include relevant monitoring and real-time measurement devices. The invisible power generation from these PV sites would cause a huge challenge on power system s...

Photovoltaic power has become one of the most popular forms of energy owing to the growing consideration of environmental factors; however, solar power generation has brought many challenges for power system operations. With regard to optimizing safety and reducing the costs of power system operations, an accurate and reliable solar power forecasti...

This study proposed a model for deterministic and probabilistic wind power generation forecasting and its corresponding procedures. The main contents include numerical weather prediction (NWP) systems, data preprocessing techniques, and forecasting models that use artificial intelligence methods. NWP wind speeds generated by the Central Weather Bur...

With the increasing proportion of renewable energy in power systems, the use of probabilistic forecasts to provide uncertainty information for future decision analyses is inevitable. In addition, the resilience of power systems to extreme events is also a matter of concern. This paper proposes a decision-making model for unit scheduling, using ense...

In recent years, solar photovoltaic (PV) generation becomes one of the most relevant energies. However, the intermittent characteristics of solar generation create significant problems to power system operations. To overcome this problem, many solar power forecasting techniques have been developed, and different forecasting horizons require differe...

Faults in any components (modules, connection lines, converters, inverters, etc.) of photovoltaic (PV) systems (stand-alone, grid-connected or hybrid PV systems) are not identified and repaired quickly, they can have a major effect on the performance, energy yield, as well as the protection and reliability of the entire PV plant. Futhermore, certai...

Wind power generation takes on an increasingly vital role in the power grid due to its environmental and economic benefits. However, the primary challenges that are related to the integration of wind power into power systems include variability, uncertainty. An accurate forecasting reduces operating costs and enhances power system stability. Wind p...

By connecting many wind farms and grids via multi-terminal high-voltage direct current transmission (MT-HVDC), the reserve power of each grid can be shared to balance the power mismatch. Resulting from a shortage of generated power, the frequency nadir and the lowest DC voltage may violate the constraints of continuous operation. Using a trade-off,...

In modern power systems, the increasing penetration of renewable energy resources has reduced the overall system inertia. However, the intermittent nature of wind power generation reduces frequency stability, which is a crucial issue. Consequently, modern power systems require that renewable energy sources, such as offshore wind farms, support the...

Abstract Peer‐to‐peer (P2P) energy trading is expected to be emerged as a new energy management paradigm that allows the transaction of energy from one prosumer to another prosumer without any dependency on a central controller. In Malaysia, first pilot test of P2P trading has been conducted recently, which exclusively participated by industrial pr...

One of the major issues about the operation of power systems is the prediction of load demand. Moreover, load forecasting is of prime concern to system operators. Recently, the integration of power system elements, such as renewable energy sources, energy storages and electricity vehicle, brings more challenges, particularly when there are large fl...

As wind power generation increases, there is an increasing need for frequency support from wind turbines. There are many advantages to connecting offshore wind farms with the electricity grid via a high-voltage direct current (HVDC) system. HVDC transmission systems allow wind farms to provide frequency regulation and voltage control, making them m...

As the wind power penetration increases, the frequency stability of the power system is deteriorating. Thus, it is expected that the wind power plants (WPPs) will be required to produce the inertial response during the short-term large-scale frequency disturbances. To study the effects of the inertial response of the WPP, the dynamic equivalent mod...

In recent years, wind energy has become a competitively priced source of energy around the world, which has created increasing challenges for system operators. Accurate wind power generation forecasting plays an important role in power systems to improve the reliable and efficient operation. Therefore, numerous artificial intelligent methods such a...

Field emission (FE) devices are advanced lighting devices that have a 2-D planar configuration, different from the 0-D (dot) and 1-D (line) configurations of light-emitting diode (LED) and fluorescent lighting, respectively. The purpose of this study is to develop a FE lighting device with a lateral-cathode triode. Carbon nanotubes (CNTs) are used...

With the increasing proportion of renewable energy, some problems have gradually emerged. To reduce the operating cost and improve system reliability, renewable power forecasting is an indispensable part. Compared with the deterministic prediction, the probabilistic forecast considers the uncertainty, which helps manage power system operations. Thi...

Forecasting renewable power generation becomes more important for the operation of modern power systems. However, the largest challenge for integrating wind power into power systems is its characteristics of stochastic and intermittent. Fortunately, various machine learning or deep learning methods have been proposed in recent years. The structures...