An improved incremental conductance based MPPT approach for PV modules

This paper presents a new maximum power point tracking (MPPT) method based on an incremental conductance (IC) algorithm, constant voltage, and look-up table approach. Convergence time, one of the indicators of MPPT quality, is considered for improving MPPT performance of photovoltaic (PV) modules. In this context, a novel hybrid MPPT approach has been proposed. This proposed method consists of three stages. In the first stage, the value of load resistance is calculated. Then the initial operation point of the PV module is determined by using the constant voltage method or look-up table approach. An IC algorithm is used in order to increase MPPT accuracy in the last stage. One of the novelties of this proposed approach is the determination criterion related to sample numbers of PV module current or solar irradiance. With the help of this approach, the initial operation point of the PV module is optimized before MPPT starts. Thus, convergence time is reduced. In this paper, a DC--DC boost converter has been designed to show the performance of the proposed approach. Then the proposed approach is compared with an IC algorithm. Experimental results show that the performance of the proposed approach is better than that of the IC algorithm in terms of convergence time. On the other hand, since the proposed approach is convenient for reducing convergence time, it can be used instead of variable step size algorithms. Furthermore, there are no topological constraints in the proposed approach. Therefore, this method can be easily applied to other converter topologies for low power or microconverter (module-based converter)-based applications.

An improved incremental conductance based MPPT approach for PV modules

This paper presents a new maximum power point tracking (MPPT) method based on an incremental conductance (IC) algorithm, constant voltage, and look-up table approach. Convergence time, one of the indicators of MPPT quality, is considered for improving MPPT performance of photovoltaic (PV) modules. In this context, a novel hybrid MPPT approach has been proposed. This proposed method consists of three stages. In the first stage, the value of load resistance is calculated. Then the initial operation point of the PV module is determined by using the constant voltage method or look-up table approach. An IC algorithm is used in order to increase MPPT accuracy in the last stage. One of the novelties of this proposed approach is the determination criterion related to sample numbers of PV module current or solar irradiance. With the help of this approach, the initial operation point of the PV module is optimized before MPPT starts. Thus, convergence time is reduced. In this paper, a DC--DC boost converter has been designed to show the performance of the proposed approach. Then the proposed approach is compared with an IC algorithm. Experimental results show that the performance of the proposed approach is better than that of the IC algorithm in terms of convergence time. On the other hand, since the proposed approach is convenient for reducing convergence time, it can be used instead of variable step size algorithms. Furthermore, there are no topological constraints in the proposed approach. Therefore, this method can be easily applied to other converter topologies for low power or microconverter (module-based converter)-based applications.

___

  • [1] Esram T, Chapman P. Comparison of photovoltaic array maximum power point tracking techniques. IEEE T Energy Conver 2007; 22: 439–449.
  • [2] Femia N, Petrone G, Spagnuolo G, Vitelli M. Optimization of perturb and observe maximum power point tracking method. IEEE T Power Electr 2005; 20: 963–973.
  • [3] Reisi AR, Moradi MH, Jamasb S. Classification and comparison of maximum power point tracking techniques for photovoltaic system: a review. Renew Sust Energ Rev 2013; 19: 43–443.
  • [4] Toshihiko N, Shigenori T, Ryo N. Short current pulse based maximum power point tracking method for multiple photovoltaic and converter module system. IEEE T Ind Electron 2002; 49: 217–223.
  • [5] Taftich T, Agbossou K, Doumbia ML, Ch´eriti A. An improved maximum power point tracking method for photovoltaic systems. Renew Energ 2008; 33: 1508–1516.
  • [6] Moradi MH, Reisi AR. A hybrid maximum power point tracking method for photovoltaic systems. Sol Energ 2011; 85: 2965–2976.
  • [7] Duru HT. A maximum power tracking algorithm based on I mpp =f(Pmax) function for matching passive and active loads to a photovoltaic generator. Sol Energ 2006; 80: 812–822.
  • [8] Ramaprabha R, Balaji M, Mathur BL. Maximum power point tracking of partially shaded solar PV system using modified Fibonacci search method with fuzzy controller. Electr Pow Compo Sys 2012; 43: 754–765.
  • [9] Punitha K, Devaraj D, Sakthivel S. Artificial neural network based modified incremental conductance algorithm for maximum power point tracking in photovoltaic system under partial shading conditions. Energ 2013; 62: 330–340.
  • [10] Liu Y, Liu C, Huang J, Chen J. Neural network based maximum power point tracking methods for photovoltaic systems operating under fast changing environments. Sol Energ 2013; 89: 42–53.
  • [11] Fangrui L, Shanxu D, Fei L, Bangyin L, Yong K. A variable step size INC MPPT method for PV systems. IEEE T Ind Electron 2008; 55: 2622–2628.
  • [12] Lee K, Kim R. An adaptive maximum power point tracking scheme based on a variable scaling factor for photovoltaic systems. IEEE T Energy Convers 2012; 27: 1002–1008.
  • [13] Chen Y, Lai Z, Liang R. A novel auto scaling variable step size MPPT method for a PV system. Sol Energ 2014; 102: 247–256.
  • [14] Mei Q, Shan M, Liu L, Guerrero JM. A novel improved variable step size incremental resistance MPPT method for PV systems. IEEE T Ind Electron 2011; 58: 2427–2434.
  • [15] Enrique JM, And´ujar JM, Bohorquez MA. A reliable, fast and low cost maximum power point tracker for photovoltaic applications. Sol Energ 2010; 84: 79–89.
  • [16] Petreu¸s D, P˘at˘ar˘au T, D˘ar˘aban S, Morel C, Morley B. A novel maximum power point tracker based on analog and digital control loops. Sol Energ 2011; 85: 588–600.
  • [17] Scarpa VVR, Buso S, Spiazzi G. Low complexity MPPT technique exploiting the PV module MPP locus characterization. IEEE T Ind Electron 2009; 56: 1531–1538.
  • [18] Lin CH, Huang CH, Du Y, Chen J. Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method. Appl Energ 2011; 88: 4840–4847.