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Source transformation

Source transformation is a engineering topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Source transformation rather than just read about it. In short: Source transformation is the process of simplifying a circuit solution, especially with mixed sources, by transforming voltage sources into current sources, and vice versa, using Thévenin's theorem and Norton's theorem respectively. Process Performing a source transformation consists of using Ohm's law to take an existing voltage source in series with a resistance, and replacing it with a current source in parallel…

Source transformation — main illustration
Source transformation — illustration

Key takeaways

  • Source transformation belongs to engineering; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Source transformation to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Source transformation from memory before moving on to harder problems.

Reference excerpt

Source transformation is the process of simplifying a circuit solution, especially with mixed sources, by transforming voltage sources into current sources, and vice versa, using Thévenin's theorem and Norton's theorem respectively.

Process Performing a source transformation consists of using Ohm's law to take an existing voltage source in series with a resistance, and replacing it with a current source in parallel with the same resistance, or vice versa. The transformed sources are considered identical and can be substituted for one another in a circuit. Source transformations are not limited to resistive circuits. They can be performed on a circuit involving capacitors and inductors as well, by expressing circuit elements as impedances and sources in the frequency domain. In general, the concept of source transformation is an application of Thévenin's theorem to a current source, or Norton's theorem to a voltage source. However, this means that source transformation is bound by the same conditions as Thevenin's theorem and Norton's theorem; namely that the load behaves linearly, and does not contain dependent voltage or current sources. Source transformations are used to exploit the equivalence of a real current source and a real voltage source, such as a battery. Application of Thévenin's theorem and Norton's theorem gives the quantities associated with the equivalence. Specifically, given a real current source, which is an ideal current source I {\displaystyle I} in parallel with an impedance Z {\displaystyle Z} , applying a source transformation gives an equivalent real voltage source, which is an ideal voltage source in series with the impedance. The impedance Z {\displaystyle Z} retains its value and the new voltage source V {\displaystyle V} has value equal to the ideal current source's value times the impedance, according to Ohm's law V = I Z {\displaystyle V=I\,Z} . In the same way, an ideal voltage source in series with an impedance can be transformed into an ideal current source in parallel with the same impedance, where the new ideal current source has value I = V / Z {\displaystyle I=V/Z} .

Example calculation Source transformations are easy to compute using Ohm's law. If there is a voltage source in series with an impedance, it is possible to find the value of the equivalent current source in parallel with the impedance by dividing the value of the voltage source by the value of the impedance. The converse also holds: if a current source in parallel with an impedance is present, multiplying the value of the current source with the value of the impedance provides the equivalent voltage source in series with the impedance. A visual example of a source transformation can be seen in Figure 1.

V = I ⋅ Z , I = V Z {\displaystyle V=I\cdot Z,\qquad I={\cfrac {V}{Z}}}

A brief proof of the theorem The transformation can be derived from the uniqueness theorem. In the present context, it implies that a black box with two terminals must have a unique well-defined relation between its voltage and current. It is readily to verify that the above transformation indeed gives the same V-I curve, and therefore the transformation is valid.

See also Ohm's law Thévenin's theorem Current source Voltage source Electrical impedance

References

Worked examples

Example 1 — a first encounter with Source transformation

Start with the simplest possible case. Write down what Source transformation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Source transformation before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Source transformation ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Source transformation

In research
Source transformation appears in engineering research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Source transformation in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Source transformation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Circuit theorems, Electrical circuits, Electrical engineering, so understanding it makes those chapters shorter.
In everyday life
Look for Source transformation outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Source transformation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Source transformation means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Source transformation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Source transformation in simple terms?

Source transformation is the process of simplifying a circuit solution, especially with mixed sources, by transforming voltage sources into current sources, and vice versa, using Thévenin's theorem and Norton's theorem respectively. Process Performing a source transformation consists of using Ohm's…

Why does Source transformation matter?

Because it connects several engineering ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Source transformation?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Source transformation.

Tags

  • Circuit theorems
  • Electrical circuits
  • Electrical engineering
  • Electronic circuits
  • Electronic design
  • Electronic engineering

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