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.

This paper presents a method for liquid level stabilization using a fuzzy logic algorithm implemented on the PLC S7-1200. Maintaining liquid levels accurately is a critical requirement in various industrial processes to ensure safety, efficiency, and consistent product quality. The proposed approach employs fuzzy logic to manage the inherent nonlinearities and uncertainties in the system, providing robust control performance under varying operating conditions. The fuzzy controller is designed with rules and membership functions tailored to the dynamic characteristics of the liquid level system. The control logic is programmed and deployed on the Siemens PLC S7-1200, a widely used industrial automation device. Experimental results demonstrate that the fuzzy logic controller effectively stabilizes the liquid level, achieving better performance compared to traditional PID controllers in terms of response time, overshoot, and steady-state error. This study highlights the potential of integrating fuzzy logic with PLCs for advanced industrial automation applications.

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)