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Isa ka Intelligent Wind-Solar Hybrid System nga may Fuzzy-PID Control para sa Enhanced Battery Management ug MPPT

 

Abstract

Ini nga proposal nagpakita og wind-solar hybrid power generation system batas sa advanced control technology, na naghahatag og efficient ug economic nga solusyon sa mga power needs sa mga remote areas ug special application scenarios. Ang core sa sistema mao ang intelligent control system nga gisentrohan sa ATmega16 microprocessor. Kini nga sistema nag-operate sa Maximum Power Point Tracking (MPPT) para sa wind ug solar energy ug gigamit usab ang optimized algorithm nga gikombinahan sa PID ug fuzzy control aron mas precise ug efficient ang charging/discharging management sa key component - ang battery. Busa, kini makapadako sa overall power generation efficiency, molongon ang battery lifespan, ug sigurado ang power supply reliability ug cost-effectiveness.

I. Project Background and Significance

  1. Energy Context: Global, ang traditional fossil fuels mao na kaayo depleted, nga naghatag og severe challenges sa energy security ug sustainable development. Vigorously developing ug utilizing clean, renewable new energy sources sama sa wind ug solar power naging usa ka strategic priority aron mapatuman ang kasamtangan nga energy ug environmental issues.
  2. System Value: Ang wind-solar hybrid system full nga gipanggamit ang natural complementary characteristics sa wind ug solar energy sa timing ug geography (e.g., strong sunlight during the day, potentially stronger winds at night), overcoming the intermittency of single-source power generation. Kini usa ka structurally rational, low-operating-cost independent power supply solution, effectively solving the energy supply problems for facilities such as residential living, communication base stations, and meteorological monitoring stations in un-electrified or weakly electrified remote areas.
  3. Importance of Core Components: Ang battery, serving as the system's energy storage unit, is crucial for ensuring continuous power supply to the load during periods without wind or sunlight. Its cost constitutes a significant portion of the entire power generation system. Therefore, improving battery charging efficiency and optimizing its charge/discharge strategies to extend its service life are vital for reducing the system's lifecycle cost and enhancing operational reliability.

II. Overall System Design

  1. System Core Objectives:
    • Energy Capture Optimization: Perform optimal control for maximum efficiency on the electricity generated by the wind turbine and photovoltaic panels, achieving Maximum Power Point Tracking (MPPT) to fully utilize natural resources.
    • Energy Storage System Management: Intelligently manage the battery charging and discharging process, preventing overcharging and over-discharging, effectively protecting the battery, and significantly improving its charging efficiency and service life.
  2. System Hardware Architecture:

Ang sistema gitawag sa tulo ka main functional modules, coordinated by a central control CPU to form a complete intelligent control system.

Module Name

Core Function Description

Core Control Module

Serves as the system control center, using the ATmega16 microprocessor. Responsible for receiving data from the detection module, running control algorithms, and outputting control commands via its PWM module.

Detection Module

Monitors in real-time key parameters including wind turbine output voltage, PV panel output voltage (used to determine if charging conditions are met), battery terminal voltage/estimated capacity, and load current.

Output Control Module

Executes specific charging/discharging current/voltage regulation based on commands from the core control module. Precisely controls the energy direction by adjusting the duty cycle of the power MOSFET.

III. Core Control Technology: Intelligent Battery Management

  1. Battery Selection and Basics:
    • Type: This solution selects maintenance-free lead-acid batteries, which are technologically mature and low-cost, suitable for small-scale wind-solar hybrid systems.
    • Working Principle: Battery charging and discharging are essentially processes of converting electrical energy to chemical energy and vice versa. However, due to phenomena like electrode polarization, the energy conversion efficiency cannot reach 100%.
  2. Control Challenges and Optimization Strategy:
    • Drawbacks of Traditional Control: Classic PID control methods heavily rely on an accurate mathematical model of the controlled object (the battery). The battery is a nonlinear, time-varying system whose parameters (internal resistance, electrolyte density, etc.) change dynamically with environmental temperature and usage state, making it difficult to establish a precise model. This leads to challenges in tuning traditional PID parameters, poor adaptability, and suboptimal control performance.
    • Adopted Advanced Control Method: This solution employs a Fuzzy-PID composite control strategy, combining the advantages of both:
      • Advantage of Fuzzy Control: Does not require an exact mathematical model of the controlled object, can handle imprecise input information, exhibits strong adaptability to changes in battery parameters, and can incorporate expert knowledge.
      • Advantage of PID Control: Can achieve high-precision, zero steady-state error control when the system deviation is small.
    • Controller Workflow: The system continuously monitors the difference e(t) between the battery's set voltage and its actual voltage. When the deviation e(t) is large, fuzzy control dominates for a rapid response. When e(t) decreases within a certain range, it smoothly switches to PID control for fine-tuning. Ultimately, the output signal u(t) is adjusted to control the MOSFET's duty cycle, achieving dynamic optimization of the charging current.

IV. Solution Summary and Prospects

  • Control Effectiveness: The wind-solar hybrid power generation control system designed in this solution successfully achieves optimal battery charge/discharge management through the complementary intelligent Fuzzy-PID control algorithm. This not only effectively protects the battery and extends its service life but also enhances the capture efficiency of wind and solar energy via MPPT, thereby improving the comprehensive efficiency of the entire power generation system.
  • Experimental Verification: Experimental results show that the controller is correctly and feasibly designed, operates safely and reliably, and exhibits good dynamic response performance and steady-state accuracy.
  • Application Prospects: This integrated wind-solar hybrid power generation solution with intelligent battery management technology is particularly suitable for scenarios such as remote areas without grid coverage, islands, pastures, and communication base stations. It offers significant economic and social benefits and has broad application prospects.
10/16/2025
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