Maximum power point tracking

Maximum power point tracking (MPPT) is a technique that charge controllers use for wind turbines and photovoltaic (PV) solar systems to maximize power output. PV solar systems exist in several different configurations.[1] The most basic version sends power from collector panels directly to the DC-AC inverter, and from there directly to the electrical grid. A second version, called a hybrid inverter, might split the power at the inverter, where a percentage of the power goes to the grid and the remainder goes to a battery bank. The third version is not connected at all to the grid but employs a dedicated PV inverter that features the MPPT. In this configuration, power flows directly to a battery bank. A variation on these configurations is that instead of only one single inverter, micro inverters are deployed, one for each PV panel. This allegedly increases PV solar efficiency by up to 20%. New MPPT equipped specialty inverters now exist that serve three functions: grid-connecting wind power as well as PV, and branching off power for battery charging .

This article about the application of MPPT concerns itself only with PV solar. Solar cells have a complex relationship between temperature and total resistance that produces a non-linear output efficiency which can be analyzed based on the I-V curve.[2][3] It is the purpose of the MPPT system to sample the output of the PV cells and apply the proper resistance (load) to obtain maximum power for any given environmental conditions.[4] MPPT devices are typically integrated into an electric power converter system that provides voltage or current conversion, filtering, and regulation for driving various loads, including power grids, batteries, or motors.

I-V curve

Photovoltaic solar cell I-V curves where a line intersects the knee of the curves where the maximum power transfer point is located.

Photovoltaic cells have a complex relationship between their operating environment and the maximum power they can produce. The fill factor, abbreviated FF, is a parameter which characterizes the non-linear electrical behavior of the solar cell. Fill factor is defined as the ratio of the maximum power from the solar cell to the product of Open Circuit Voltage Voc and Short-Circuit Current Isc. In tabulated data it is often used to estimate the maximum power that a cell can provide with an optimal load under given conditions, P=FF*Voc*Isc. For most purposes, FF, Voc, and Isc are enough information to give a useful approximate model of the electrical behavior of a photovoltaic cell under typical conditions.

For any given set of operational conditions, cells have a single operating point where the values of the current (I) and Voltage (V) of the cell result in a maximum power output.[5] These values correspond to a particular load resistance, which is equal to V / I as specified by Ohm's Law. The power P is given by P=V*I. A photovoltaic cell, for the majority of its useful curve, acts as a constant current source.[6] However, at a photovoltaic cell's MPP region, its curve has an approximately inverse exponential relationship between current and voltage. From basic circuit theory, the power delivered from or to a device is optimized where the derivative (graphically, the slope) dI/dV of the I-V curve is equal and opposite the I/V ratio (where dP/dV=0).[7] This is known as the maximum power point (MPP) and corresponds to the "knee" of the curve.

A load with resistance R=V/I equal to the reciprocal of this value draws the maximum power from the device. This is sometimes called the 'characteristic resistance' of the cell. This is a dynamic quantity which changes depending on the level of illumination, as well as other factors such as temperature and the age of the cell. If the resistance is lower or higher than this value, the power drawn will be less than the maximum available, and thus the cell will not be used as efficiently as it could be. Maximum power point trackers utilize different types of control circuit or logic to search for this point and thus to allow the converter circuit to extract the maximum power available from a cell.

Classification

Controllers usually follow one of three types of strategies to optimize the power output of an array. Maximum power point trackers may implement different algorithms and switch between them based on the operating conditions of the array.[8]

Perturb and observe

In this method the controller adjusts the voltage by a small amount from the array and measures power; if the power increases, further adjustments in that direction are tried until power no longer increases. This is called the perturb and observe method and is most common, although this method can result in oscillations of power output .[9][10] It is referred to as a hill climbing method, because it depends on the rise of the curve of power against voltage below the maximum power point, and the fall above that point.[11] Perturb and observe is the most commonly used MPPT method due to its ease of implementation.[9] Perturb and observe method may result in top-level efficiency, provided that a proper predictive and adaptive hill climbing strategy is adopted.[12][13]

Incremental conductance

In the incremental conductance method, the controller measures incremental changes in PV array current and voltage to predict the effect of a voltage change. This method requires more computation in the controller, but can track changing conditions more rapidly than the perturb and observe method (P&O). Like the P&O algorithm, it can produce oscillations in power output.[14] This method utilizes the incremental conductance (dI/dV) of the photovoltaic array to compute the sign of the change in power with respect to voltage (dP/dV).[15]

The incremental conductance method computes the maximum power point by comparison of the incremental conductance (IΔ / VΔ) to the array conductance (I / V). When these two are the same (I / V = IΔ / VΔ), the output voltage is the MPP voltage. The controller maintains this voltage until the irradiation changes and the process is repeated.[9]

Current sweep

The current sweep method uses a sweep waveform for the PV array current such that the I-V characteristic of the PV array is obtained and updated at fixed time intervals. The maximum power point voltage can then be computed from the characteristic curve at the same intervals.[16][17]

Constant voltage

The term "constant voltage" in MPP tracking is used to describe different techniques by different authors, one in which the output voltage is regulated to a constant value under all conditions and one in which the output voltage is regulated based on a constant ratio to the measured open circuit voltage (VOC). The latter technique is referred to in contrast as the "open voltage" method by some authors.[18] If the output voltage is held constant, there is no attempt to track the maximum power point, so it is not a maximum power point tracking technique in a strict sense, though it does have some advantages in cases when the MPP tracking tends to fail, and thus it is sometimes used to supplement an MPPT method in those cases.

In the "constant voltage" MPPT method (also known as the "open voltage method"), the power delivered to the load is momentarily interrupted and the open-circuit voltage with zero current is measured. The controller then resumes operation with the voltage controlled at a fixed ratio, such as 0.76, of the open-circuit voltage VOC.[19] This is usually a value which has been determined to be the maximum power point, either empirically or based on modelling, for expected operating conditions.[14][15] The operating point of the PV array is thus kept near the MPP by regulating the array voltage and matching it to the fixed reference voltage Vref=kVOC. The value of Vref may be also chosen to give optimal performance relative to other factors as well as the MPP, but the central idea in this technique is that Vref is determined as a ratio to VOC.

One of the inherent approximations to the "constant voltage" ratio method is that the ratio of the MPP voltage to VOC is only approximately constant, so it leaves room for further possible optimization.

Comparison of methods

Both perturb and observe, and incremental conductance, are examples of "hill climbing" methods that can find the local maximum of the power curve for the operating condition of the PV array, and so provide a true maximum power point.[2][11][14]

The perturb and observe method can produce oscillations of power output around the maximum power point even under steady state irradiance.

The incremental conductance method has the advantage over the perturb and observe (P&O) method that it can determine the maximum power point without oscillating around this value.[9] It can perform maximum power point tracking under rapidly varying irradiation conditions with higher accuracy than the perturb and observe method.[9] However, the incremental conductance method can produce oscillations and can perform erratically under rapidly changing atmospheric conditions. The computational time is increased due to slowing down of the sampling frequency resulting from the higher complexity of the algorithm compared to the P&O method.[15]

In the constant voltage ratio (or "open voltage") method, the current from the photovoltaic array must be set to zero momentarily to measure the open circuit voltage and then afterwards set to a predetermined percentage of the measured voltage, usually around 76%.[15] Energy may be wasted during the time the current is set to zero.[15] The approximation of 76% as the MPP/VOC ratio is not necessarily accurate though.[15] Although simple and low-cost to implement, the interruptions reduce array efficiency and do not ensure finding the actual maximum power point. However, efficiencies of some systems may reach above 95%.[19]

MPPT placement

Traditional solar inverters perform MPPT for the entire PV array (module association) as a whole. In such systems the same current, dictated by the inverter, flows through all modules in the string (series). Because different modules have different I-V curves and different MPPs (due to manufacturing tolerance, partial shading,[20] etc.) this architecture means some modules will be performing below their MPP, resulting in the loss of energy.[21]

Some companies (see power optimizer) are now placing maximum power point tracker into individual modules, allowing each to operate at peak efficiency despite uneven shading, soiling or electrical mismatch.

Data suggests having one inverter with one MPPT for a project that has east and west-facing modules presents no disadvantages when compared to having two inverters or one inverter with more than one MPPT.[22]

Operation with batteries

At night, an off-grid PV system may use batteries to supply loads. Although the fully charged battery pack voltage may be close to the PV panel's maximum power point voltage, this is unlikely to be true at sunrise when the battery has been partially discharged. Charging may begin at a voltage considerably below the PV panel maximum power point voltage, and an MPPT can resolve this mismatch.

When the batteries in an off-grid system are fully charged and PV production exceeds local loads, an MPPT can no longer operate the panel at its maximum power point as the excess power has no load to absorb it. The MPPT must then shift the PV panel operating point away from the peak power point until production exactly matches demand. (An alternative approach commonly used in spacecraft is to divert surplus PV power into a resistive load, allowing the panel to operate continuously at its peak power point.)

In a grid connected photovoltaic system, all delivered power from solar modules will be sent to the grid. Therefore, the MPPT in a grid connected PV system will always attempt to operate the PV modules at its maximum power point.

References

  1. ↑ Seyedmahmoudian, M.; Rahmani, R.; Mekhilef, S.; Maung Than Oo, A.; Stojcevski, A.; Soon, Tey Kok; Ghandhari, A.S. (2015-07-01). "Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method". IEEE Transactions on Sustainable Energy 6 (3): 850–862. doi:10.1109/TSTE.2015.2413359. ISSN 1949-3029.
  2. 1 2 Seyedmahmoudian, Mohammadmehdi; Engineering, School of; Science, Faculty of; Environment, Engineering & Built; University, Deakin; Victoria; Australia; Mohamadi, Arash; Kumary, Swarna. "A Comparative Study on Procedure and State of the Art of Conventional Maximum Power Point Tracking Techniques for Photovoltaic System". International Journal of Computer and Electrical Engineering 6 (5): 402–414. doi:10.17706/ijcee.2014.v6.859.
  3. ↑ Seyedmahmoudian, Mohammadmehdi; Mekhilef, Saad; Rahmani, Rasoul; Yusof, Rubiyah; Renani, Ehsan Taslimi (2013-01-04). "Analytical Modeling of Partially Shaded Photovoltaic Systems". Energies 6 (1): 128–144. doi:10.3390/en6010128.
  4. ↑ Surawdhaniwar, Sonali; Mr. Ritesh Diwan (July 2012). "Study of Maximum Power Point Tracking Using Perturb and Observe Method". International Journal of Advanced Research in Computer Engineering & Technology 1 (5): 106–110.
  5. ↑ Seyedmahmoudian, Mohammadmehdi; Mekhilef, Saad; Rahmani, Rasoul; Yusof, Rubiyah; Shojaei, Ali Asghar (2014-03-01). "Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique". Journal of Renewable and Sustainable Energy 6 (2): 023102. doi:10.1063/1.4868025. ISSN 1941-7012.
  6. ↑ "University of Chicago GEOS24705 Solar Photovoltaics EJM May 2011" (PDF).
  7. ↑ Sze, Simon M. (1981). Physics of Semiconductor Devices (2nd ed.). p. 796.
  8. ↑ Rahmani, R., M. Seyedmahmoudian, S. Mekhilef and R. Yusof, 2013. Implementation of fuzzy logic maximum power point tracking controller for photovoltaic system. Am. J. Applied Sci., 10: 209-218.
  9. 1 2 3 4 5 "Maximum Power Point Tracking". zone.ni.com. zone.ni.com. Retrieved 2011-06-18.
  10. ↑ "ADVANCED ALGORITHM FOR MPPT CONTROL OF PHOTOVOLTAIC SYSTEM" (PDF). solarbuildings.ca. Retrieved 2013-12-19.
  11. 1 2 "Comparative Study of Maximum Power Point Tracking Algorithms". doi:10.1002/pip.459.
  12. ↑ "Performances Improvement of Maximum Power Point Tracking Perturb and Observe Method". actapress.com. Retrieved 2011-06-18.
  13. ↑ Zhang, Q.; C. Hu; L. Chen; A. Amirahmadi; N. Kutkut; I. Batarseh (2014). "A Center Point Iteration MPPT Method With Application on the Frequency-Modulated LLC Microinverter". IEEE Transactions on Power Electronics 29 (3): 1262–1274. doi:10.1109/tpel.2013.2262806.
  14. 1 2 3 "Evaluation of Micro Controller Based Maximum Power Point Tracking Methods Using dSPACE Platform" (PDF). itee.uq.edu.au. Retrieved 2011-06-18.
  15. 1 2 3 4 5 6 "MPPT ALGORITHMS". powerelectronics.com. Retrieved 2011-06-10.
  16. ↑ Esram, Trishan; P.L. Chapman (2007). "Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques". IEEE trans. on Energy Conv. 22 (2).
  17. ↑ Bodur, Mehmet; M. Ermis (1994). "Maximum power point tracking for low power photovoltaic solar panels". Proc. 7th Mediterranean Electrotechnical Conf.: 758–761.
  18. ↑ "Energy comparison of MPPT techniques for PV Systems" (PDF). wseas.us. Retrieved 2011-06-18.
  19. 1 2 "Error:". ieee.org.
  20. ↑ Seyedmahmoudian, M.; Mekhilef, S.; Rahmani, R.; Yusof, R.; Renani, E.T. Analytical Modeling of Partially Shaded Photovoltaic Systems. Energies 2013, 6, 128-144.
  21. ↑ "Invert your thinking: Squeezing more power out of your solar panels". blogs.scientificamerican.com. Retrieved 2015-05-05.
  22. ↑ "InterPV.net - Global PhotoVoltaic Business Magazine". interpv.net.
  • Rahul Rawat; S. S. Chandel (August 2013). "Review of Maximum-Power-Point Tracking Techniques for Solar-Photovoltaic Systems". Energy Technology 1 (8): 438–448. doi:10.1002/ente.201300053. 

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