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oe1(光电查) - 科学论文

5 条数据
?? 中文(中国)
  • [IEEE 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) - Coimbatore (2018.3.1-2018.3.3)] 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT) - Implementation of Differential Power Processing to Optimize the Solar Power Generation

    摘要: The objective of this paper is to harvest the optimum power from solar panel using different MPPT techniques for low power application under non-uniform irradiance conditions. The overall power output of photovoltaic system is reduced due to partial shading. A new differential power converter along with INC control algorithm is introduced to reduce the partial shading effect and oscillations of output power.

    关键词: Differential power processing,Maximum Power Point Tracking (MPPT) techniques,Photo-Voltaic (PV) array,Maximum Power Point (MPP),Partial Shading Condition (PSC)

    更新于2025-09-23 15:22:29

  • Modified variable step incremental-conductance MPPT technique for photovoltaic system

    摘要: Maximum power point (MPP) Tracking, which is usually referred as MPPT, is a setup that forces the photovoltaic (PV) module to operate in such a way that the PV module will yield the maximum power, which in turn depend upon the solar illumination and surrounding temperature. Amidst all the MPPT designs, perturb & observe and incremental conductance (INC) algorithms are mostly selected due to easy implementation and good tracking credibility. The conventional MPPTs based on fixed step size give less power output and at every step tracking is required for new location due to random variation is a tedious job. In this paper the variable step size INC-MPPT technique is proposed which automatically tracks the next step size to maximize the power output. The comprehensive comparison is presented using MATLAB/SIMULINK between conventional and improved MPPT.

    关键词: Maximum power point tracking (MPPT),Variable step size INC,Maximum power point (MPP),Photovoltaic (PV),Incremental-conductance (INC)

    更新于2025-09-23 15:19:57

  • [IEEE 2019 14th International Conference on Computer Engineering and Systems (ICCES) - Cairo, Egypt (2019.12.17-2019.12.17)] 2019 14th International Conference on Computer Engineering and Systems (ICCES) - Analog Control Algorithm-Based a Photovoltaic Energy Harvesting System for Low-Power Medical Applications

    摘要: One of the attractive solutions used for supplying low-power medical applications is the photovoltaic (PV) energy harvesting system. In this paper, the proposed PV energy harvesting system is composed of a photovoltaic panel, a DC-DC boost converter, a fixed resistive load and an analog control algorithm. This algorithm is designed based on the output load current. The algorithm is implemented using the multisim program. This algorithm is simple, efficient, low cost and low power consumption because it measures only the output current parameter and does not need multipliers. The power consumption of the proposed load is approximately 39.24 mW. Therefore, the expected working duration of the load is 20.9 hours under continuously operation of the light for 4 hours. Finally, the simulation results illustrate the transient characteristics of the proposed PV system.

    关键词: Medical wearable sensor nodes,Energy harvesting,Multisim,Photovoltaic,Maximum power point (MPP)

    更新于2025-09-23 15:19:57

  • Developed and STM implementation of modified P&O MPPT technique for a PV system over sun

    摘要: The non-linearity of photovoltaic systems and the change in maximum power point with a level of insolation and temperature complicates the tracking of the maximum power point. Several maximum power point tracker methods have been proposed and implemented in literature. The paper studies a modified perturb and observe (P&O) approach for a photovoltaic system in order to extract the maximum power point with more precision, fast speed and avoid the problems caused by the classic P&O method under the change of climatic conditions. This work is tested with a resistive load powered by a photovoltaic generator via a DC/DC converter. These methods are implemented with STM32F4 microcontroller running environment MATLAB/SIMULINK, using a computer incorporating a card DS1104 for visualization. The simulations and experimental results show that the proposed algorithm offers a fast response with smaller stationary oscillations compared to conventional methods.

    关键词: photovoltaic generator (PVG),perturb and observe (P&O),maximum power point (MPP),Modified perturb and observe (MP&O),Maximum Power Point Tracking (MPPT)

    更新于2025-09-10 09:29:36

  • [IEEE 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) - Bali, Indonesia (2018.7.24-2018.7.26)] 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) - Implementation of Solar Tracking System to Maximize Energy Absorption in Wireless Sensor Network

    摘要: Wireless Sensor Network is a system to monitor area condition from the different place. WSN is usually located in distant or difficult to reach places, therefore the use of energy is very important and become a big concern. One of the solutions is WSN must be able to generate energy from the renewable energy such as sunlight. There are so many researches which propose the new way of increasing energy produced by solar cells. This is effective but still have a room of improvement such as to ensure maximum absorption energy by solar panels, the direction of the coming light must be perpendicular to the surface solar panels, and this is not yet achieved. Therefore, to improve the efficiency of solar panels, the author took the initiative to combine Maximum Power Point Tracking technology with dual axis solar tracking system to optimize absorption energy by solar panels. The proposed solar tracking technology uses LDR sensors to detect the direction of the coming light, so this system can adjust to various conditions to make sure the absorption is maximum.

    关键词: Wireless Sensor Network (WSN),Arduino,Solar Tracking,Internet of Things,Maximum Power Point (MPP)

    更新于2025-09-10 09:29:36