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Yutaka Sasaki - IEEE Xplore Author Profile

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The increasing penetration of inverter-based resources (IBRs) such as photovoltaic (PV) systems, electric vehicles (EVs), and battery energy storage systems (BESSs) in distribution networks presents new challenges for maintaining voltage within the standard limits. Traditional voltage control methods are often insufficient to manage the complex dynamics introduced by decentralized and variable pow...Show More
Voltage control becomes a crucial challenge as the penetration of renewable energy sources (RESs) increases in distribution systems. The intermittent and variable nature of RESs like solar and wind power can lead to several voltage problems, which can have detrimental effects on the stability and reliability of the distribution networks. This paper introduces a promising cooperative voltage contro...Show More
As the frequency of disasters continues to escalate, the associated risks to power grid infrastructure and community livelihoods also intensify. To mitigate this challenge, this study introduces an advanced Energy Management System (EMS) designed to ensure day-ahead power security for grid-connected prosumers. The EMS optimizes transactions between the grid, Battery Energy Storage System (BESS) cy...Show More
For microgrid operations under uncertain environments, the authors have developed the robust energy management controller named REMC that provides advanced supply and demand control by using controllable generators, battery energy storage systems (BESSs), and useful information such as variable renewable energies (VREs) predictions and its confidence intervals. The REMC has the following functions...Show More
Large amount of renewable energy sources affect frequency stability in microgrid (MG) This paper proposes a novel frequency regulation method based on adaptive model predictive control (AMPC) for MG system considering large disturbances to maintain the frequency stability. The MG system performance is approximated by a simplified first-order lag internal prediction model (IPM), which is applied to...Show More
Distribution systems with renewable-based distributed energy resources often face several voltage problems, including voltage fluctuations and rise. These problems make it difficult for system operators to control voltage effectively. Therefore, operators of distribution systems should consider these issues in future grid planning. In this paper, a promise voltage control technique is developed, r...Show More
Renewable energy sources, such as wind turbine (WT) generators and photovoltaic (PV) systems with high uncertainties, are installed in the microgrid (MG) system, which affects its frequency stability. This paper proposes an adaptive model predictive control (AMPC)-based frequency controller to address the frequency stability of the MG. In this paper, an unscented Kalman filter (UKF) is applied to ...Show More
This paper proposes a novel frequency control method based on autonomous distributed control scheme. The operating frequency is controlled by battery energy storage systems (BESSs) in AC microgrid (MG) where an efficient coordination of BESS’s state-of-charges (SOCs) is performed without communications. The BESS-SOCs of the individual prosumers are automatically managed to a same value, while the ...Show More
The high penetration of renewable energy resources in the distribution systems (DS), i.e., photovoltaic (PV) and wind systems, affects the system voltage profiles and causes severe violation problems. Therefore, the PVs output powers are curtailed in specific feeder nodes to mitigate the DS overvoltage problems, which causes unfair profit distribution among prosumers and decreases the hosting capa...Show More
A novel method for assessing and managing the voltage stability of the power systems is proposed in this paper. In the proposed method, a predictor-corrector continuation power flow technique is used to trace the active power versus voltage curves (PV curves). As a result, the voltage profiles under various system conditions can be analyzed until maximum loading is reached. Furthermore, the optima...Show More
Recently, a community microgrid (MG) has been attracted solution for managing a local area energy network. The proposed robust generation schedules are carried out to evaluate the performance of the MG system operation. The authors have already developed the fundamental system operation and planning functions which was named robust supply and demand manager. The effectiveness of the proposed manag...Show More
Microgrids (MGs) are characterized by renewable distributed energy sources (DERs) and battery energy storage systems (BESSs) that enable off-grid operation. Some researchers are identifying these traits as capable of improving the dependability of grid networks in the event of significant outages. However, MGs have inherent voltage and frequency fluctuations that often require energy management sy...Show More
This paper proposes a novel adaptive load frequency control (LFC) method based on adaptive model predictive control (AMPC) using an unscented Kalman filter (UKF). The objective is to develop a robust LFC controller against the change in frequency characteristics of the power systems. An adaptive AMPC controller is realized by updating the internal model on-line to capture the frequency characteris...Show More
This paper proposes an efficient day-ahead Photovoltaic (PV) forecasting method by improving our previous method. The proposed approach uses only public weather data of a local area and is applied to a community microgrid. In our previous works, the weather-clustered feedforward neural networks (WFNNs) have been created from different weather patterns and time zones. In this paper, an iterative pr...Show More
In recent years, due to the effects of global warming countermeasures and the Great East Japan Earthquake, interest in renewable energy has been increasing. In particular, there is a strong interest in Photovoltaic Power Generation (PV). Assuming before the earthquake, the goal is to increase the amount of installed PV. It is expected that the introduction of PV will be further expanded and its im...Show More
Electric power system is one of the most essential infrastructures and regular maintenance works are very crucial tasks for transmission system operators (TSO). Maintenance works with partial outage are referred to as “outage works” and the authors have so far studied a highly reliable outage work planning for large scale power grids. In recent years, however, a huge number of photovoltaic (PV) an...Show More
In recent years, wide-spread renewable energy sources (RES) including photovoltaic (PV) accelerates the voltage fluctuation problem in distribution networks. The induced issues have been indicated from early on, and many studies have already been reported. However, most of the previous studies have focused on high-voltage distribution networks, and to the authors' knowledge, there are few studies ...Show More
The variable renewable energies (VREs) have attracted attention due to reduce fossil fuel consumptions. In particular, a number of photovoltaic power generation (PV) penetrations are being strongly promoted in worldwide. An Uncertainty management is needed to perform a system operation stably for a microgrid (MG) including electricity loads, variable renewable energies (VREs), photovoltaic power g...Show More
This paper proposes a novel load frequency control (LFC) method based on adaptive model predictive control (AMPC) using an unscented Kalman filter (UKF). The objective is to develop a robust LFC controller against the change in frequency characteristics of the power systems. A discrete-time AMPC controller is realized by updating the internal model on-line to capture the frequency characteristics ...Show More
An Effective uncertainties management is required to realize stable operation for community microgrid (MG) consist of electricity loads, variable renewable energies (VREs), photovoltaic power generations (PVs), battery energy storage systems (BESSs), and so on. The authors develop robust energy management controller (REMC) for optimizing system operation against uncertainties. Useful solutions are...Show More
Recently, regulating the voltage in active distribution systems has become a significant concern for network management. Furthermore, as renewable energy sources are intermittent, they cause a stressful operation for the conventional voltage regulation systems by requiring more control actions. This study presents a cooperative strategy for voltage regulation based on the coordination between the ...Show More
Microgrids continue to gain traction as alternatives to traditional power systems in remote communities and smart cities. The green energy revolution has primarily driven this uptake amid climate change, coupled with the off-grid operability microgrids and flexibility in control. On the other hand, microgrids are inherently unpredictable, and energy security is continuously becoming critical to bu...Show More
This paper proposes a simple and efficient day-ahead solar power prediction method by improving our previous feedforward neural networks (FNNs) based approach, which is applied to a renewable-base microgrid (MG). The proposed prediction algorithm uses only public available weather data such as day-ahead solar irradiation. Based on weather clustering such as sunny/cloudy/rainy, the multiple FNNs ar...Show More
In recent years, the voltage fluctuation in distribution grids has become a more serious problem due to a large amount of residential PV penetration. The authors have so far studied the ideal low-voltage grid configuration that can accept large number of PV connections. Although the problem has been formulated and the solution method has been proposed, a more efficient solution method is necessari...Show More
As disasters continue to become common around the world, the reliability of power systems is increasingly becoming critical. Researchers continue to explore the inclusion of distributed energy resources (DERs), specifically smart microgrids into traditional power system designs to improve their reliability. Smart microgrids possess characteristic advantages of energy storage, off-grid operation, a...Show More