Artificial Intelligence in Power Systems

Artificial Intelligence will change the way we live our lives drastically, apart from the fact that lives will be safer because we will undoubtedly do things safer, artificial intelligence in power systems will likewise improve involvement with the internet. Electricity is the bedrock of development, just try to summon up the things you can do without electricity on one hand, and then one cold reality drops.

Now focusing on the impact of artificial intelligence in power systems, one simple fact has to be noted, power systems are as complex as life itself, each level of power system, from generation to transmission to distribution is humongous and complicated. Injecting artificial intelligence into power systems will help reduce the mental stress we cast on ourselves, but how far can these two be synchronized, to what level will AI impact and improve power stations?

Why do we need AI anyways?

Humans have constantly detested the fact that a machine will come to take their jobs in the nearest years but one thing keeps unraveling, machines will always be tools for humans, while Artificial Intelligence will make life easier, it needs the intervention of humans in its application just like we are seeing it get integrations into technology.

A.I will rather complement a man’s work rather than replace it because we decide what we want to use it for eventually but learning to use A.I is tricky and requires training, A.I is so close to us that we mostly don’t realize we are using it until we hit remarkable milestones. The complexity of power grids thoroughly needs a technical breakdown, such that it is pertinent to outline areas where A.I will greatly improve power stations.

Balanced transmission of power

Humans at the elms of decision making need to digest a large volume of data before making decisions. The ability to compute and derive the level of power distribution a particular region consumes to optimally function will constantly require extended time and in such situations, the dynamics of that region are not considered. For instance, the addition of a new business or new building in that region.

But with the deployment of Artificial Intelligence in power systems, the data that is needed to accurately know the amount of power a certain region regularly consumes becomes readily available. Then the situation of a certain region getting too much power transmitted to them while another region suffers the opposite becomes less rampant. Or better still, A.I can factor in the constant changes in a region’s situation like the removal of an apartment building and reveal results that are attuned.

With such information at the disposal of a decision-maker, it becomes easier to distribute power evenly among these regions.

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Problems of Integration

When it comes to power systems, one major problem is that of integration. All three facets of power systems are individually complex, yet interdependent on one another. Generating power alone needs workers to make mathematically accurate decisions because the performance of the generation phase greatly affects the other facets of power systems.

Artificial Intelligence in power systems will assist in making the results of data computed to be accurate, when data is accurate at all levels, it is easier to merge all three phases of power systems which will result in a seamless integration of generation, transmission, and distribution of power.

Better Control Capability

One of the reasons why artificial intelligence in power systems will result in better control of power systems is quite obvious. Artificial intelligence is widely accepted because of what it does, it strives to make things easy and since the dawn of time, the major thing we have been striving to accomplish is an easier way to do things.

Artificial intelligence in power systems could help achieve better control over the operations of power grids because of its ability to carry out calculations and algorithms on a large amount of data. Putting such data into use, it becomes easier for managers to exercise better control over the resources they have, be it mechanical or human resources.

The Need for Faster and More Informed Decisions

Due to managers working with a large volume of data, as a result of the vastness in the operations of power stations, the ability to make quick decisions, like the expansion or development of power stations, becomes greatly slowed. Also, there could be a huge lapse in knowledge, resulting in rushed or inadequate decisions being made, but the integration of artificial intelligence in power systems will help sweep through the data, bring up accurate computations and patterns that will result in helping them make more accurate decisions.

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Improved Problem-Solving Capability

Looking at the Texas power crisis, where the citizens of Texas did not have electricity for over 2 weeks, then one sees the real need for artificial intelligence in power systems. Due to severe storms and other related reasons, it was difficult to pin down exactly where the source of the failure occurred. It was later discovered that the shortage of winterized natural gas equipment also contributed to the failure. With artificial intelligence in power systems, it will become easy to accurately detect the source of problems in power stations or grids, making it easier and faster to solve such problems.

AI Tools for Power Systems

So far we have looked at a few situations where life will be made easier with artificial intelligence in power systems. Power systems will benefit from AI in various ways because artificial intelligence is not short of tools and resources needed for solving complex problems but so far 4 major tools are presently being incorporated in the use of artificial intelligence in power systems.

Artificial Neural Networks

ANN utilizes the learning capabilities of the human brain, it can take in large inputs of data, classify them and then present them as a singular output just like the way neurons in the brain work. This gives ANN the ability to make observations, find patterns within data, learn and then adapt, very features when deploying artificial intelligence in power systems. 

Artificial Intelligence can also utilize incomplete data and still come up with an accurate solution. In the instance of distributing power into regions, ANN can be deployed to observe each region, putting into the mathematical perspective various factors and peculiarities of each region, one region might be more industrialized than the other, and then come up with a perfect measure of distribution for each region. 

ANN is fast and tough, it will strive to offer results in the face of incomplete or corrupt data, but it is task-specific, making it unable to learn another task once it is trained for one task. But it is flexible enough to be trained for a new but specific task. Deploying artificial intelligence in power systems using the ANN will help solve the problems of power distributions. Managers will have data that will support them in making accurate and informed decisions.

Also because of its speed of processing data, ANN is a very ideal artificial intelligence in power systems for dealing with urgent situations. Where it is important to assimilate a large amount of data very quickly and come with the best solutions, ANN can be used in such situations but one has to be mindful that the data relates to that particular skill which the ANN has been trained for, else because it is designed to give results even if the information is incomplete, the results might be unreasonable or unrelated.

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Fuzzy Logic

Ever noticed that when you know exactly where you are going, you walk with more confidence, that is how fuzzy logic works. When deployed as artificial intelligence in power systems, it helps you to go through unfamiliar territories with the boldness of someone who has walked that path before.

Fuzzy logic can create something like a blueprint for complex problems, so a present situation is technically visualized with the help of this A.I. This is similar to how our brains approach problems, there is always a visual projection of what we are thinking, we visualize different pathways and then decide on which is best.

Fuzzy logic also employs this kind of mechanism when presented with data, such function will be useful for mapping transmission and distribution mediums, considering that what fuzzy system is doing is that it is interpreting mathematical computations has a model, this output data is accurate and it will help in fostering decisions that are borne out of certainty and not from trial and errors. 

Deploying fuzzy logic’s model mechanisms and control capability, electrical loads during the process of transmission can be easily monitored and forecasted, also since fuzzy logic can be used to control the mechanical aspects of electrical transmissions by training learn voltage controls and load estimations of transmitters and then fuzzy logic can automatically control all these processes.

Fuzzy logic can be used to design the physical aspects of power systems, from the tiniest bit of components to the largest. With such flexibility, power systems can enjoy a more seamless integration using fuzzy logic as a foundation for the design of power stations, and overall contributing to faster decision making.

Expert Systems

Humans are intelligent, with the way we have invented different machines to help us live our lives better. Deploying this artificial intelligence in power systems will carry out this primary objective perfectly. The expert system can be trained in one particular skill to carry out that skill like an expert.

Because it can compute large data, it is capable of carrying out that specific function faster and more efficiently than a human would because manipulating such a volume of data would be an impossible task for a human. Additionally, expert systems, considering it is using the knowledge of experts in that specific field to look at these data, can discover problems that will pass through the filter of a human, while also offering the best solutions.

Humans when faced with autonomous tasks, it becomes uninteresting, leading to blunders and costly accidents, deploying expert systems to carry out such functions will result in more efficient power systems operations. Expert systems are inflexible since they can only handle a specific function, but these functions can be modified and upgraded, giving it unlimited potential in dealing with that task.

Genetic Algorithms

One major flaw or character greatly defines us as humans and that is the fact that we make decisions with bias, we make decisions based on what favors us or our loved ones most. Genetic algorithms utilize the phrase, “survival of the fittest” in their decision-making approach, making it more efficient in offering solutions that are devoid of partiality.

The genetic algorithm’s major goal is optimization and it is ideal for transmission in power stations. It looks at the data and offers the best solution that can withstand unforeseen constraints. Such application of artificial intelligence in power systems will result in constantly using the best channels available in the distribution of power.

Additionally, during the process of increasing the output of power, if adjustments or maintenance become imperative, genetic algorithms can be deployed to look at the different ways these operations can be carried out optimally and using its probability, it will provide the best solution possible, leading to managers making decisions better and faster, reducing the cost of wastage and also the time spent in coming up with plans and ideas for such purposes is greatly optimized.

Obstacles of AI in Power Systems 

The operations of power stations are huge, complex, and multi-faceted. The data that needs to be structured and generated for artificial intelligence in power systems will be equally huge and largely non-coherent. Bringing such data together will result in a lot of effort and time on the parts of developers. 

ANN, for instance, needs to be constantly retrained for a different task, this effort will continually be daunting and tiresome because a large amount of data needs to be manipulated. ANN also is unable to verify data, whether it is accurate or inaccurate, ANN will still produce results, it is then of utmost importance that the data is trained with authenticity and verified, to avert costly errors from misinterpretation.

Apart from the issue of data, another major issue that is faced is that of costs. When AI is installed and becomes fully functional, it has the potential to greatly reduce expenses and wastages because it is greatly efficient, but the initial stage of installation and deployment of artificial intelligence in power systems requires a great deal of infrastructure.

Apart from the fact that AI needs to be trained, workers that will be assigned to make use of AI in carrying out their duties, also need to undergo some form of training to familiarize themselves with the system. Artificial intelligence is one aspect of technology that is constantly changing and evolving, such training will likely become a constant trend, so more money will be spent, more time and effort will be required also.

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Conclusion

It comes as no surprise that just as artificial intelligence is finding its way into every aspect of technology, it has also found its way into electricity. These are exciting times because such innovations will result in a more efficient and better supply of power. The generation, distribution, and transmission of power, with the support of A.I will bring about a more quality supply of power, as electrical surges, blowouts, and the rest will become history.

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