# AC Power Analysis: Network Analysis

Let me use the terms “power grid” and “network” interchangeably.

## What is the Power Grid Required to Do?

- Deliver energy to customers, and thereby earn money so that the utilities can profit.
- Deliver power wherever and whenever the customers demand it. That implies maintaining the dynamic balance between energy produced, energy lost, and energy consumed.
- Keep frequency near the nominal 60 (or 50) Hertz, and keep old-fashioned electric clocks on time.
- Keep voltage at all network nodes within the range 90%-110% of nominal, to protect customer and utility equipment from damage.
- Meet several other power quality metrics.

You may object to this list. How can energy and power be separate requirements? They are intimately related because power is the time derivative of energy. Bean counters are interested in kWh energy for billing purposes. But when the customer turns on a 100 watt light bulb, he demands that the grid deliver additional energy to him at the rate of 100 watts; no more, no less, not earlier, not later, but 100 watts right now. The grid designer must satisfy both the bean counter and the customer.

## Circuit versus Network Analysis

Students of electricity are first taught how to analyze a circuit. The presumption is that a simple circuit is the most elementary case. We shall see, that’s not true.

Engineers who deal with networks are concerned with the __capacity__ of the network to transport power from any point A to point B, regardless of the source of the power or its ultimate destination. In addition, the nature and the quantity of the sources and the loads changes all the time. Engineers are also concerned with the behavior of the network, independent of the loads or the generators. Network analysis does not need a complete circuit. In that respect, network analysis is simpler than circuit analysis. I’ll elaborate.

## Power Transmission Lines

At this basic level, consider power transmission and power distribution to be the same thing. The electrical parameters of a power line are distributed, with series R per mile, series L per mile, and capacitance C to ground per mile as shown below. The diagram is simplified in that only one of the three phases is shown.

For our purposes, R is so small that we can neglect it. R can be used to calculate real power losses in the transmission. In real life, losses are only about 2% so we can ignore R while studying basics.

Capacitance to ground is a major consideration in ultra-high-voltage lines that run for long distances, and for underground or underwater cables, but for lower voltages and shorter distances, we can neglect C also.

That leaves only the inductance L. Since the frequency is nearly constant 60 (or 50) hertz, it is more useful to write it as the inductive impedance ##X=j\omega L##, where ##\omega##=377 radians/second at 60 hertz (or 314 at 50 hertz).

Finally, we don’t explicitly show the ground connection in the graphic. What we are left with is just X ; it can’t get much simpler than that.

If I say that this is the most complicated circuit you will ever need to understand the basics of the power grid, you will perhaps understand when I say that network analysis is simpler than elementary circuit analysis.

## Power and VAR flows

Given the complex voltages ##\bar V_A## and ##\bar V_B##, we can use Ohm’s law to compute the complex current ##\bar I_{AB}##, and the complex power at each end ##P_A+jQ_A## and ##P_B+jQ_B##. The results are complicated expressions that I won’t show, but the following real approximate expressions suffice.

- ##P_A=\frac{V_A\cdot V_B}{X}\sin{\theta}##, where ##\theta## is the phase angle difference between ##\bar V_A## and ##\bar V_B##.

Do not confuse ##\theta## with the angle ##\phi## between voltage and current discussed in Part 1. - ##Q=\frac{V_A \cdot (V_A−V_B)}{X}cos(theta)## or approxumately ##Q \propto (V_A-V_B)##

That leads to the mantra that power engineers learn to chant over and over like “*Hare Krishna*”.

__Real power__flow is proportional to the__angle__difference between voltages at adjacent nodes.__VAR__flow is proportional to the__magnitude__difference between voltages at adjacent nodes.

Those principles apply equally to networks with 2 nodes as to networks with 200,000 nodes. If you memorize those two, you are 99% of the way home to understanding the entire power grid.

Now we can generalize. A power grid is a network made up of nodes like A and B, branches that connect the nodes, sources (generators) and sinks (loads). We analyzed just one branch above, but we can repeat that for any branch in an arbitrarily large network. So, no matter how large the network, you only need to know how to analyze one branch at a time. Utility planners use software to routinely analyze networks with 250,000 or more nodes

.

## VARs and Voltage Control

If VAR flow depends on voltage magnitude differences, then VARs must be intimately involved with fulfilling grid requirement #4, keeping all node voltages within the range 90%-110%. We call that voltage control.

Suppose we connected a load at node B, that has an inductance the same value as the transmission line’s X. What would happen? (The load probably has R too but we don’t need to consider that.) It doesn’t take much math to see that we have two equal Xs in series connected to ground, the voltage at B is 50% of ##V_A##. That would cause a lot of VARs to flow from A to B. It would also violate the 90% – 110% rule. So, what are some possible remedies to fix low voltage?

- We could change the transmission line to reduce X. But if X is too small, then we get into trouble if there is a short circuit with B connected to ground. So there’s a lower limit on X.
- We could add a capacitance in series with X. That leads to the same short circuit problem. It also creates an LC oscillator, and those oscillations might cause their own problems.
- We can increase the voltage at A, but not more than 110%. That would send even more VARs toward B. How do we increase ##V_A##? If there is a power plant at A, we could instruct them to raise the terminal voltage, or (equivalently) to generate more VARs to ship to the grid.
- We could install a transformer between A and B and adjust the turns ratio to increase ##V_B## relative to ##V_A##. But if the customer then disconnects the load at B; ##V_B## might go too high. Special transformers (called TCUL for Tap Changing Under Load) can change their turns ratio dynamically based on remote commands.
- We could connect a capacitance C to ground at node B. That would put the C in parallel with the load’s X and cancel the load X. This is called reactive shunt compensation. That’s OK unless the load is turned off, leaving only the compensation C without the load. That could cause ##V_B## to go too high.

*Shunt compensation comes in capacitive, inductive, or electronic forms capable of both plus and minus Q A so-called synchronous condenser can also be used. It is merely a generator that runs with zero P but plus or minus Q.*

All these compensations must deal with changing loads such that ##V_B## stays in the 90% – 110% range. - We could force the customer to reduce his load demand by shutting off all or part of his load because he is causing voltage problems. We call that “load shedding” and we do it only as a last resort, since shutting off customers without their permission is highly unpopular.

Capacitive loads are rare but not unheard of. The capacitance of power transmission lines themselves become dominant for very high voltage long-distance overhead lines, or for underground or underwater cables. Capacitances to ground cause high voltages. To remedy high voltage, all the above apply, but in the other direction.

Now, raise your horizon. Think not just of nodes A and B, but of entire regions. The above remedies can be applied equally to entire regions with many external connections and thousands of nodes. If for example, if the entire London Metropolitan Area in England trended toward low voltages, then the grid operator would take action to send more VARs into that region from every direction.

Voltage control costs utilities hundreds of millions of dollars. But keeping voltage 90% – 110% is a utility’s obligation and not something they can explicitly charge customers for. Instead, utilities often attempt to discourage excessive VAR demand by charging punitive fees for power factors that are too low. Power factor can be measured locally by the customer. Charging for power factor rather than Q avoids discussion of that imaginary stuff that many customers believe does not really exist.

## Real Power Control

Now, consider this line of logic for a generator at node A.

- The phase angle ##\theta## between two node voltages is proportional to the time integral of the frequency difference between those nodes, and the power flow between those nodes is proportional to ##\theta##.
- The frequency of a generator is directly proportional to its speed in RPM.
- More speed, more kinetic energy. So on an incremental linearized basis, speed is proportional to the integral of the
__net__power on the shaft. Net being the sum of mechanical power in, minus friction losses, minus electrical power out.

To achieve a steady state, the rate of change of speed and the rate of change of angle must both be zero. That means that the electrical speed (*i.e.* RPM/N, where N=number of pole pairs) of every generator on the grid must be identical. (We therefore call it a *synchronous* grid.) In a non-steady transient state, we integrate power mismatch once to get frequency, then integrate frequency to get angle, then feed power as a function of angle it back with a minus sign. That is a description of a classical second-order harmonic oscillator. Indeed, generators on power grids typically perform like lightly damped oscillators.

The good news is that every generator can measure the local frequency. It is directly

proportional to RPM. That suggests a very simple and completely distributed way to regulate power on the whole grid. We simply apply James Watt’s 1788 invention, the flyball governor, to each generator. It varies mechanical power in response to speed changes. Then we tune the gain of these governors, to be the same __in percent__, for every generator. Thereafter, if we add load to the grid, the frequency will start to drop. The speed governors will open the throttles to make more power, with each generator inherently taking up its proportional share of the load until mechanical power (less losses) and electrical power are exactly balanced once again.

I think it’s very cool. Using centuries old technology, we can achieve an exquisitely sensitive dynamic balance between total generation produced (minus losses) and total load consumed, all distributed over an arbitrarily large geographic area. In the same stroke, we have satisfied grid requirements #2 and #3. Hats off to the engineers of yesteryear.

We stopped using flyballs in the 70s. A modern electronic implementation of a speed governor can be done with a single operational amplifier. It could hardly be simpler. This robust distributed scheme kept all the US’ grids operating without a single regional blackout from about 1889 until November 9, 1965 (the date of The Great Northeast Blackout). Even today despite all our computers, the speed governor is the __primary__ regulator of power grids. It is inherently distributed. It does not need remote communications of any kind. It is not digital. It is very difficult to attack via remote means.

—

PF members sophiecentaur, and Jim Hardy contributed to this article.

Dick Mills is a retired analytical power engineer. Power plant training simulators, power system analysis software, fault-tree analysis, nuclear fuel management, process optimization, power grid operations, and the integration of energy markets into operation software, were his fields. All those things were analytical. None of them were hands-on.

During the years 2005-2017. Dick lived and cruised full-time aboard the sailing vessel Tarwathie (see my avatar picture). That was very hands on. During that time, Dick became a student of Leonard Susskind and a physics buff. Dick’s blog is at dickandlibby.blogspot.com

Could you please explain a bit more the proposition that flow of reactive power is proportional to the magnitude of voltage difference between nodes?

Part 1 was amazing! Can’t wait to dig into this one :smile:

Very interesting topic I never gave much thought to. Looking forward to the third part.

We all take infrastructure for granted as long as it’s working.

Jim Hardy suggested a mechanical analogy that did not make it into the article.

Imaging a cylindrical rotating shaft. How do we know if it is transmitting power from one end to the other?

Stop the rotation, and paint a dotted line along the top surface. Then rotate again with you riding on the shaft like a rider on a horse. The shaft appears stationary to you. If the shaft is transmitting power from my end to the far end, it will twist and I can see the twist because of the dotted line. If the far end ships power to my end, the shaft twists the other way. Twist is another way of saying that the angle at my end is different than the angle at the far end.

To increase the twist, i make the RPM at my end slightly faster than at the far end for a short duration. To do that, I must temporarily put in more power at my end, then return the power to the previous value.

In the steady state, when twist is not changing. I can state with certainty that the RPM at my end is identical to RPM at the far end, and I don’t need a computer to figure that out.

It would be possible to send the same power down the shaft at different RPMs, so making the twist stop changing and making the RPMs return to normal, are two independent goals.

What happens if load at the far end increases? Both ends of the shaft will start slowing down. I’ll have to put more power in at my end, until the angle stops changing and the RPM is back to normal. When I get there, I should see that the twist has increased, and that the extra amount of power I need to achieve that, exactly matches the increase in load power.

Which angle is zero? It doesn’t matter. Twist is the same, no matter what angle you choose to be zero.

A shaft has only two ends, but the power grid has many nodes with an angle at each node, so the analogy is not perfect. Analogies never are. The analogy is also primarily DC, and it does nothing to help us understand VARs, unless we start adding springs, flywheels, and oscillators making a simple analogy complicated.

I like those two articles. They provides a good explanation of a concept that can be very confusing.

Have you thought about writing on piece on the effects of an increase in distributed loads such as windmills, solar panels, home battery banks (for off peak energy use) and plug in hybrid/electric vehicles on the grid? Particularly their effect on the operation and operation philosophy of grid control companies?

The reason I ask is I feel with your background you might be able to tackle that problem.

Thanks for the kind words.

I’ll give that some thought. If I did write such an article, it will cover both engineering and economics. As you can already see perhaps, discussion of the grid is inherently multidisciplinary.

Sure glad we have a genuine power system guy here . I’ve only looked over the shoulders of some.

Electrical, mechanical, control theory(downright right burly math – search on “Power System Stabilizer”), and a rapidly increasing share of computer science.

Could you please explain a bit more the proposition that flow of reactive power is proportional to the magnitude of voltage difference between nodes?

Let me see if I understood it correctly.

Suppose a purely resistive load R is fed from an ac supply V through a transmission line with reactance X(negligible resistance). Transmission line reactance X is fixed. Now if load R is increased, more current is drawn from the supply. This causes a voltage drop across X and load voltage is reduced, increasing the difference V[SUB]source[/SUB]-V[SUB]load[/SUB]. If the load is decreased, voltage across the load increases and V[SUB]source[/SUB]-V[SUB]load[/SUB] decreases, reducing the reactive power flow.