High penetration of photovoltaic (PV) sources causes volatility in distribution networks, challenging conventional operational strategies. This study introduces a multi-objective optimization framework using a Stabilized Genetic Algorithm (SGA) that co-optimizes daily energy losses and switching asset depreciation over typical and extreme loading scenarios. Contradicting common assumptions, results show that zero switching operations, i.e., maintaining a robust static configuration - yield optimal economic outcomes for the IEEE 33-bus test system, regardless of switching cost magnitude. The work formalizes an economic viability threshold for DDNR, providing network operators with a quantitative tool to assess when dynamic reconfiguration is truly justified. Results reveal that for the IEEE 33-bus system with PV integration, a robust static configuration remains economically optimal regardless of switching cost magnitude. The primary contribution is the formalization of an "Economic Viability Threshold" framework, providing DNOs a quantitative tool to determine when DDNR is truly justified. This framework provides a crucial, data-driven tool for network operators to prevent unnecessary investment in complex control schemes, ensuring that grid modernization efforts are both technically sound and economically viable

This study forecasts electricity demand for Vietnam’s data center sector through 2030 in the context of rapid digitalization and the accelerating adoption of Artificial Intelligence (AI), both of which are expected to exert significant pressure on national power infrastructure. Using a baseline IT load of 524.7 MW in 2025 derived from industry market reports, the analysis employs a scenario-based approach with two growth trajectories: a high-growth case using a 16% CAGR and a market-aligned case using a 12.61% CAGR. Applying a Power Usage Effectiveness (PUE) value of 1.4, consistent with Vietnam’s green data center standards, projected electricity demand increases from 734.6 MW in 2025 to 1,542.8 MW under the high-growth scenario and 1,330.6 MW under the moderate-growth scenario by 2030, corresponding to increases of 110% and 81%, respectively. These findings indicate that the expansion of digital infrastructure will require proactive power system planning. The study highlights the importance of integrating renewable energy through Direct Power Purchase Agreements (DPPAs) and implementing stringent energy-efficiency standards to ensure the sustainable development of Vietnam’s data center ecosystem.

The paper analyzes the radial distribution power system with the series connection of FACTS devices, which is easily implemented using a formula from the power flow equation (PFE - power flow equation) with the voltage magnitude and power flow on the lines are treated as independent variables. When control variables such as the form of reactive power at nodes and lines are directly manipulated in the formulation, the application of FACTS device control operations in the power system is carried out quickly and directly. Using the ratio matrix at the nodes of a radial distribution system is primarily represented on the main diagonal to reduce computational procedures. All FACTS device models are unified under static stability conditions and can be easily integrated within the new framework through the process of "variable exchange". Using the IEEE standard system, the formulation of the formula is based on the trend on the line - Line Flow Based (LFB) by the author to provide easy implementation with multiple FACTS devices connected in the system and its efficiency.

This research investigates the effectiveness of three Maximum Power Point Tracking (MPPT) algorithms—Incremental Conductance (IC), Perturb and Observe (P&O), and Fuzzy Logic Controller (FLC)—in optimizing power output in grid-tied photovoltaic (PV) systems. Each algorithm was tested under varying environmental conditions, focusing on performance in terms of energy extraction, stability, and adaptability to fluctuating irradiance and temperature. Results indicate that FLC offers superior performance, exhibiting reduced power fluctuations and faster responsiveness to environmental changes compared to IC and P&O. These insights contribute to enhancing PV system efficiency and reliability in modern power grids.

Kính gửi: Ban biên tập Tạp chí Đại học Thủ Dầu Một Em kính gửi Ban biên tập Tạp chí Đại học Thủ Dầu Một bài báo: PREVENTIVE CONTROL OF POWER SYSTEMS BASED ON DYNAMIC SECURITY PREDICTION Kính nhờ quý Thầy, Cô xem xét và được đăng ở Tạp chí của Trường. Xin chân thành cảm ơn! Phần 1: Thông tin tác giả - Ngày gửi bài : 29/02/2024 - Họ và tên: Hà Văn Du - Học vị: Thạc sỹ chuyên ngành Kỹ thuật điện - Đơn vị công tác: Chương trình Kỹ thuật điện, Viện KT-CN, TDMU - Điện thoại: 0974639947 - Email: duhv@tdmu.edu.vn Phần 2: Nội dung bài báo (Đính kèm file)

Generation of electricity from wind power a renewable energy source, is continually attracting the attention of investors, researchers and electrical utilities. It has been predicted that the annual growth of wind power between 1998 and 2040 would be between 20% and 30%. This shows the increase in impact of the wind power generator to power system and the importance of understanding the behaviour power wind generator following fault conditions that may develop at any point on the hosted network and consequently may affect the stability, the security as well as the quality of power system. Hence, the searching Stability of power system with connection of power wind generator is continually attracting the attention of researchers in the world. This pape display the Surveying Stability of power system with connection of power wind generator when occurred the fault short circuit on the power system. The investigate is illustrated with network included 12 bus.

Traditional fossil energy sources are increasingly exhausted, leading to the need for mankind to exploit alternative energy sources; and solar energy can be viewed as infinite. Solar photovoltaic and its applications are increasingly widely studied. However, due to its nonlinearity and unstable nature, high technology is required to achieve good conversion efficiency. One of the techniques to optimize solar cell efficiency is to use the Maximum Power Point Tracking algorithm (MPPT) and P&O is a relatively easy algorithm to implement. This article will present some problems about photovoltaic cells, power converters in solar power systems and using PSIM software to simulate an independent solar system with several harvesting solutions for solar power and compare the efficiency of them.

Electric vehicles (EVs) making a significant contribution to the reduction of fossil fuel consumption and CO2 emissions are expected to thrive in Vietnam in the upcoming years/in the near future. However, such vehicles’ energy demand could become a burden on the transmission networks, causing overloads to the electric grid of the nation. Hence, to solve this problem, a solar PV system can be utilized to fulfill the electricity needs in an EV charging station. This article presents the design, simulation and economic analysis of a grid-connected solar power system for an electric charging station at Thu Dau Mot University (TDMU). The photovoltaic (PV) power system is designed to supply energy to the charging station and office building. The study estimates the generated electricity, the efficiency of the PV power system and the ability to reduce CO2 emissions. This paper can be a recommended input for stakeholders to consider using this energy source for charging vehicles.