artificial intelligence in power generation

One of the most powerful tools in faults detection and diagnosis is artificial intelligence (AI).

With the growth of the power system, complexity in the networks is increased tremendously. Particular emphasis has been put on Artificial Neural Networks (ANN), Fuzzy Logic (FL) and Expert system (XPS). In this paper, the studies of ANN and genetic algorithm (GA) application will be presented.

Recently, with the development of computer techniques, expert systems are also applicable to online applications of the power system. The common form of an expert system is a computer program containing the rules for analysis and recommendations for users.Since expert systems are basically computer programs, it is based on the process of writing codes which is simpler than actually calculating and estimating the value of parameters. With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis. One of the most powerful tools in faults detection and diagnosis is artificial intelligence (AI).

It needs AI-based techniques which are highly reliable, accurate and automated systems such as EMS, Intelligent sub-station ornamented by high-speed protection, monitoring, and communication systems. (2016). it is used for planning of power generation, transmission and distribution.

Ismail, R. I. AU - Ismail, Rahmat Izaizi B. Artificial Intelligence in Power Electronics November 15, 2019 by Jose Molina Next Generation of Magnetic Components As an electronics engineer, I don´t work for the earnings but for seeing the circuits working. It is also called knowledge-based systems or rule-based systems. and Alnaimi, {Firas B. Ismail} and Al-Qrimli, {Haidar Fadhil Abbas}", journal = "IOP Conference Series: Earth and Environmental Science", note = "International Conference on Advances in Renewable Energy and Technologies 2016, ICARET 2016 ; Conference date: 23-02-2016 Through 25-02-2016", In this work a comprehensive model to predict the solar power output based on historical data is presented. Electrical India Magazine on Power & Electrical products, Renewable Energy, Transformers, Switchgear & CablesArtificial Intelligence: An Advanced Approach in Power Systems

The structure of the expert system is shown in figure 3.The Genetic algorithm gives a global technique based on biological metaphors.

Together they form a unique fingerprint.

ANN is based on quite simple principles, but takes advantage of their mathematical nature, non-linear iteration to demonstrate powerful problem solving ability. ", author = "Ismail, {Rahmat Izaizi B.} Therefore, with certain or even approximate information and data, it produces accurate solutions. It adjusts the parameters of excitation to solve the voltage control problem and reactive power compensation.Several problems in power systems cannot be solved by conventional techniques. Now, most of the efforts in power system analysis have been successfully reduced by AI techniques.Power system engineering is an important branch of electrical engineering that deals with the generation, transmission, distribution, and utilisation of electric power.AI is the science of automating intelligent behaviours presently accomplishable by a computer interfaced with machines like robots. In this article, With massive possibility and room for improvement in AI, the inspiration for researching them are apparent, and literally, hundreds of papers have been published, discussing the findings of hybrid AI for condition monitoring purposes.

It uses this knowledge and interface mechanism to solve problems which cannot be or difficult to be solved by human skill and intellect. Its primary advantage is the capability to learn algorithms, an online adaption of dynamic systems, quick parallel computation, and intelligent interpolation of data. Similarly, different neurons can also be taken for different layers.Many problems in power systems are based on several non-feasible requirements. It is the best method for solving complex and nonlinear problems.

Presently with Artificial Intelligence (AI), many constraints can be handled easily such as economic load dispatch, load forecasting, optimisation of generation and scheduling, transmission capacity and optimal power flow, real and reactive power limits of generators, bus voltages and transformer taps, load demand in interconnected large power system and their protections etc.

Presently with Artificial Intelligence (AI), many constraints can be handled easily such as economic load dispatch, load forecasting, optimisation of generation and scheduling, transmission capacity and optimal power flow, real and reactive power limits of generators, bus voltages and transformer taps, load demand in interconnected large power system and their protections etc. Faults should be detected early so correct mitigation measures can be taken, whilst false alarms should be eschewed to avoid unnecessary interruption and downtime.

View full fingerprint / title = "Artificial Intelligence Application in Power Generation Industry: Initial considerations", abstract = "With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis.

On the other hand, ANNs cannot perform a task other than the one for which they are trained.

With the promotion of these developments by AI techniques, savings can be achieved in the field of remote monitoring of equipment, operation, maintenance, and production. They have learning and data adaptation ability. Rahmat Izaizi B. Ismail, Firas B. Ismail Alnaimi, Haidar Fadhil Abbas Al-QrimliT1 - Artificial Intelligence Application in Power Generation Industry: Initial considerationsN2 - With increased competitiveness in power generation industries, more resources are directed in optimizing plant operation, including fault detection and diagnosis.