Recent Trends in Electrical Power System by using Computational Intelligence Techniques

Abstract

The energy sector around the world is facing increasing difficulties due to increased energy requirement, efficiency, changes in demand & supply design & be short of analysis necessary for best possible administration. These difficulties are greatest in growing markets. This makes the electrical network multipart, highly stressed & therefore subject to subsequent failures. The efficiency problems are mainly problematical because the proliferation of informal grid connections means that a large amount of electricity is not metered or billed, leading to losses and increased CO2 emissions.  Traditional methods of solving network design, problems of scheduling, processing & managing  have been widely designed for various supplications, however these techniques suffer from various complexities because of the need for inferred existence, provision of non-optimal solutions, etc. These difficulties can be overcome by transmitting knowledge of the energy sector on to CI software suppliers. With careful development, artificial intelligence systems can be particularly helpful for automating structured and routine tasks and giving people the ability to tackle the problem of energy challenges in future. Computational Intelligence (CI) can provide a better solution under different circumstances & are broadly used in electric engineering applications.  Almost all developed nations are using computational intelligence techniques which enable communication amongst IOT devices, smart meters & smart grid network. These advances can help improve power supply administration, efficiency, clarity, and increment the utilization of sustainable power sources. The utilization of computational intelligence techniques in electricity network wherever it can have serious effects as clean, low-priced & consistent power is essential for improvement. his article focuses the use of computer-assisted intelligence techniques in PS issues. Different types of intelligent techniques which are widely used in the electrical network explained in details.