A Primer on Electrical Mismatch DRAFT

Solar Panels Figure 1: Google’s Gemini’s creative-ish take on what shading electrical mismatch looks like.

Introduction

Electrical mismatch due to non-uniform shading can be a confusing topic for both new and experienced PV performance modeling professionals. This is understandable due to the fact that learning about mismatch requires building up layers of intuition from multiple fields including PV performance modeling, PV systems design, materials science, and electrical engineering. In this joint(!) blog post, Mark Mikofski and I will guide you around some common misconceptions that arise when talking about electrical mismatch due to non-uniform shading.

Misconception 1: PV performance modelers enter a percentage value in their modeling software to model the effects of mismatch due to shading

There are many different types of mismatch that can occur in an operating solar power plant. For example, electrical mismatch due to non-uniform soiling, non-uniform snow soiling, non-uniform wire distances, etc. Despite the myriad sources of mismatch that can occur, there are only two types of mismatch that people generally talk about in a PV performance model.

The first type occurs when modules with difference efficiencies are included in the same string. For example, a company may buy a set of 500W modules and install them in a string of 28 modules each. If each of these modules actually performed at 500W at STC, there would be no mismatch, but in reality each will perform slightly differently due to differences in materials and manufacturing. In order to reduce this effect, manufacturers bin their modules so that they come in a set where all modules in the set fall within a given tolerance. Using our 500W module example from before, the company may receive 10,000 modules all within a 500W to 505W bin. Large PV projects may receive modules across multiple bins and must be careful to string modules with similar power bins together. In a PV performance model, the distribution of actual power ratings is generally considered to be gaussian and the loss (or gain if the range of modules installed has a positive power bin) associated is generally a flat percentage across all time-steps. PV performance modelers calculate this value and use it as in input into their PV performance modeling software. This mismatch we will ignore in this blog post in favor of electrical mismatch due to non-uniform shading.

The other type of mismatch loss that is calculated in a given performance modeling software occurs due to non-uniform shading. This type of shading is generally modeled in conjuction with the performance modeling software’s shading model, and is not modeled as a flat loss. The physical causes and intuition for all sources of mismatch are the same and learning about one source of mismatch is instructive in modeling the other sources as well.

Building up the Intuition

Talking about mismatch can be difficult since every engineer has a different level of understanding of each of the multitude of fields that underpin the effect. Very few undergraduate programs feature coursework in PV performance modeling, and new-comers to the field usually come familiar with one of the following fields, but not all of them (electrical engineering, mechanical engineering, chemical engineering, materials science, structural engineering, physics, etc.). The following few sections of the post are useful to level set for the many different types of engineers that may be reading this post, though please feel free to skip any sections that you are already very familiar with.

PV Systems Design

Some terminology:

In large utility scale solar power plants, many strings of module are generally connected to an inverter with a single maximum power point tracker (MPPT) or very few MPPTs relative to the number of strings.

Shading

In a photovoltaic performance models, there are 3 different types of irradiance that hit the front side of a solar module: beam, diffuse and ground reflected. For now we will ignore the circumsolar portion (which generally gets bucketed into either the beam or diffuse portions), as well as the ground reflected irradiance which is generally considered to have an isotropic-ish effect much like the diffuse portion.

Beam irradiance is the most intuitive of the irradiance types and can be thought of as light which takes a direct (straight vector) path from the sun to the solar module. Beam irradiance can be blocked by any object that sits between an object and the straight vector pointing to the sun position. Blocking objects may include trees, buildings, or other solar modules.

Diffuse irradiance on the other hand is less intuitive and encapsulates all of the light that hits a module, that does not take a direct line from the sun. For example, a photon may bounce off of the ground, then a molecule in the atmosphere, and then be directed towards the module (horizon brightening). The cumulative effect of many photons all taking circuitous paths to the module results in a “diffuse dome” of irradiance which can be integrated to determine how much diffuse light is hitting the module. It is this diffuse irradiance which makes it so that if so that objects in shade are still visible. It is also the reason that the following misconception can be debunked.

Misconception 2: As soon as a module is shaded, production goes to zero

This cannot be true, since some diffuse light still shines on the module. In Desert Center, CA (a location with a very low fraction of diffuse light energy relative to direct light energy) the proportion of total irradiance due to diffuse light in the plane of the array on a tracker system is around 18%.

Electrical Engineering

This blog post assumes that the reader has taken entry level electrical engineering and materials science curriculum at the university level, but that a refresher may be useful. Those with a need for a refresher on the material science of solar cells, including forward and reverse bias will find this video series informative [4].

Some rules to remember:

Diode Curve Figure 2: A general diode IV curve from LibreTexts [1]

What is an IV curve? It is a continuous curve which represents all of the possible output states that the solar string can operate at. The lower limit at Isc represents the output in the string if the circuit is completed with an “element” of zero resistance. The upper limit of Voc occurs if the string is completed with an infinite resistance. Interested readers can refer to more information in [5]. A maximum power point tracker (MPPT) modulates the resistance between these two limits to find the maximum power point. Why do we care about the IV curve?

Quoting Mark Mikofski [2]:

The cells in a PV module can be considered roughly as a current source in parallel with a diode and some resistive elements. Diodes are semiconductors. In other words, they only conduct current in one direction, called the forward bias. When a negative voltage, or a reverse bias, is applied to the cell, the semiconductor won’t conduct a current. However, if enough reverse bias is applied, all semiconductors will eventually breakdown, and carry a current. This phenomema is called reverse bias breakdown, and the breakdown voltage varies between cell technology. A typical front contact p-type silicon solar cell may breakdown at around -20 volts, while a back-contact n-type silicon solar cell may breakdown at -5 volts. There are many factors, beyond the scope of this primer, that affect reverse bias breakdown, such as purity of the substrate as well as type and concentration of dopant. The most important thing to understand about reverse bias breakdown is this: When a cell is in reverse breakdown, it can carry nearly any current, but because the voltage is negative, then the cell will dissipate energy and will get hot as it exchanges heat with the environment around it.

So why would a negative voltage be applied to a cell? A cell that is shaded on its own does not enter reverse bias. Neither does a cell which is in a string with similarly shaded cells. Therefore in order for reverse bias to occur there must be a mismatch in the current and voltage characteristics in one of the cells of the string relative to the others. Why does this mismatch cause a reverse bias? Well, lets closely examine what we said earlier when we stated that the cells in a module can be “roughly” considered as a current source.

highlighted IV curve

In the orange region above it is true, the solar cell is behaving like a current source, and is providing a steady current at a range of different possible voltages. In the blue region the cell behaves more like a voltage source which holds a steady-ish voltage, but supplies a range of possible currents. Here is an image comparing the output of a solar cell at different level of irradiance.

different levels of irradiance

A shaded solar cell cannot, on its own, provide the same level of current and voltage as its unshaded counter-parts. As an example, lets say that in a series string of 10 1V cells that 9 are unshaded and 1 is shaded. These cells are connected into a circuit over a resistive load with a non-zero, non-infinite resistance. The 9 unshaded cells are experiencing forward bias due to the light hitting them, creating a potential of 9V. Kirchoff’s voltage law (voltage in a loop must sum to zero) then forces a ~ -9V potential across the shaded cell and the resistive load. This is the source of the reverse-bias.

Quoting PVEducation [3]:

If the operating current of the overall series string approaches the short-circuit current of the “bad” cell, the overall current becomes limited by the bad cell. The extra current produced by the good cells then forward biases the good solar cells. If the series string is short circuited, then the forward bias across all of these cells reverse biases the shaded cell. Hot-spot heating occurs when a large number of series connected cells cause a large reverse bias across the shaded cell, leading to large dissipation of power in the poor cell. Essentially the entire generating capacity of all the good cells is dissipated in the poor cell. The enormous power dissipation occurring in a small area results in local overheating, or “hot-spots”, which in turn leads to destructive effects, such as cell or glass cracking, melting of solder or degradation of the solar cell. Also

Bypass diodes allow this current that would otherwise flow throught the shaded solar cell to flow in an external circuit instead. Quoting PVEducation again [5]:

A bypass diode is connected in parallel, but with opposite polarity… Under normal operation, each solar cell will be forward biased and therefore the bypass diode will be reverse biased and will effectively be an open circuit. However, if a solar cell is reverse biased due to a mismatch in short-circuit current between several series connected cells, then the bypass diode conducts, thereby allowing the current from the good solar cells to flow in the external circuit rather than forward biasing each good cell.

Putting it all together

Electrical Mismatch

Starting from the very beginning: What does an unshaded system’s IV curve look like?

IV Curve Unshaded Figure 2 Unshaded curve made my Mark Mikofski using PVMismatch.

What happens if we shade a single solar cell? Since current is proportional to irradiance, current is decreased.

Now what happens if we connect this shaded cell to another unshaded cell in series? Then the string is limited by the Isc of the shaded solar cell and excess power is dissipated in the shaded cell.

Then if we connect these cells into a module and then this module into a string? Well here is where things get tricky.

**Misconception 3: Only current is affected in partial shading situations”

Conclusion

Further reading:

  1. Engineering Libre Texts: Diode Primer
  2. BreakingBytes by Mark Mikofski: Blog on Mismatch
  3. PVEducation: Hot Spots
  4. Youtube: Shining Light on Solar Cells
  5. PVEducation: Bypass Diodes
  6. PVEducation: IV Curve Primer
  7. PVMimatch: Python IV Curve Trace Simulator w/ Mismatch
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