International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023
p-ISSN: 2395-0072
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MAXIMUM POWER POINT TRACKING BASED PHOTO VOLTAIC SYSTEM FOR SMART GRID INTEGRATION USING MATLAB Bashi Bashir1, Er Baljit Kaur 2 Post Graduate Student, Electrical Engineering Dept., IET Bhaddal Punjab India. Assistant Professor, Electrical Engineering Dept. IET Bhaddal Punjab India. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The integration of photovoltaic (PV) systems
operating point of photovoltaic systems. These methods need to separate arrays for measuring the short circuit current and open-circuit voltage of the system, so the amount of power wasted [7, 8]. Some methods are based on the photovoltaic system model [9]. Renewable energy also called non-conventional type of energy sources are the sources which are continuously replenished by natural processes. Solar energy, bio-energy (bio-fuels grown sustainably), wind energy and hydro power etc., are some of the examples of renewable energy sources [1].
with smart grids has gained significant attention due to its potential to enhance energy generation efficiency and grid stability. This paper presents a comprehensive study on a Maximum Power Point Tracking (MPPT)-based PV system designed for seamless integration into smart grids. The proposed system employs MATLAB as a simulation and optimization tool to evaluate its performance under varying environmental conditions and grid scenarios. The primary focus of this research is the implementation of advanced MPPT algorithms to extract maximum power from the PV panels. Various MPPT algorithms, such as Perturb and Observe (P&O), Incremental Conductance, and Fuzzy Logic Control, are examined and compared in terms of efficiency, accuracy, and adaptability to changing irradiance levels. The MATLAB/Simulink platform is utilized to model and simulate the PV system, enabling the assessment of its real-time behavior and dynamic responses. Furthermore, the paper addresses the challenges and benefits of integrating the MPPT-based PV system into a smart grid framework. It investigates the bidirectional power flow, demand-side management, and grid synchronization aspects. The system's ability to contribute to grid stability by responding to grid frequency and voltage fluctuations is explored. Simulation results demonstrate the effectiveness of the proposed MPPT algorithms in tracking the maximum power point and optimizing the energy extraction from the PV panels. The system's dynamic responses to grid events illustrate its potential to support the grid and enhance the overall power generation efficiency.
2.RELATED WORK A lot of research has been done in this field till date. In this chapter we come across the following literature, In recent years different solutions for MPPT have been proposed in many papers. In [1], a MMPC method was used for a solar converter to achieve MPPT in photovoltaic systems. In the proposed method under uniform conditions, the PI controller applied to the error between the initial reference current from P&O and the actual current of the photovoltaic array. [2] paper presents a new fuzzy logic based Maximum Power Point Tracking (MPPT) algorithm for solar panel. The solar panel is modeled and analyzed in MATLAB/SIMULINK. [3] presents Matlab simulation of perturb and observe (P&O) and Incremental Conductance maximum power point tracking (MPPT) method for solar photovoltaic system. One of the newest and most efficient methods for extracting maximum power from solar panels, as well as reducing the generated power oscillations and stabilizing the operating point is the Extremum Seeking Method (ESM), which operates on the basis of the search pattern of the Extremum point on the P-V curve of PV panel [4]. It increases the efficiency of a solar panel [5] by tracking the maximum power point. There are several MPPT control algorithms in use. In [4][5] four control algorithms are analyzed comparatively. A comparative analysis of the algorithms is presented. [6] presents evaluations among the most usual maximum power point tracking (MPPT) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel [tracking factor (TF)] in relation to the available power, PV voltage ripple, dynamic response, and use of sensors. Many different techniques [7] for maximum power point tracking of photovoltaic (PV) arrays are discussed. A drawback of P&O is that, at steady state, the operating point oscillates around
Key Words: Maximum Power Point Tracking, MPPT PhotoVoltaic System, Smart Grid Integration, Perturb & Observe Technique, Grid Integration Techniques.
1.INTRODUCTION Power production of panels. In recent years different methods for MPPT has been introduced in many papers [3, 4]. Several converters have been proposed [5, 6]. Several methods have been proposed to track the maximum power point, which is noted below. Some methods, such as short circuit current method and the open-circuit voltage method use the relationship between solar cell parameters and
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