Chapter 28 - Optimal power generation and power flow control using artificial intelligence techniques

Abstract

Artificial intelligence (AI) is a science that can actually be accomplished by a computer interfaced with devices such as robots to automate smart behaviors. The complexity of the intelligence networks is greatly enhanced for the growth of industrial production and power systems. As a result of this power system research, the process of information, remote device management, and utility have become more complicated and time-consuming, using traditional techniques and conclusions from the data acquired. In the current scenario approach, AI is needed in various field of power system such as planning for generation expansion, power system reliability, transmission line expansion, planning and operation of the distribution system, forecasting for electricity, control of reactive power, control of voltage, frequency and stability. With the increasing development of renewable system application, AI is also enhanced in the control of fuel cell and wind solar thermal hybrid power system. Further these advanced techniques are also utilized in automation for restoration, fault analysis, and network security. AI is designed and deployed with the aid of advanced technology tools to solve all of the aforementioned problems for large power systems as the mother of innovation is needed. Over the last few decades, a problem with traditional approaches has been identified by researchers, making AI techniques an effective tool to solve problems with the power system. Most power system problems are focused on a range of unfeasible demands. And the techniques of AI are the only ways to resolve them. Another requirement of AI in power system is reliable and efficient supply of energy, which is an important requirement for the world to avoid environmental impacts. It is achieved by tight supervision of the machinery and through the use of the power system. It needs highly effective, accurate, and automated AI-based techniques such as energy management system, intelligent substation ornamented with high-speed surveillance, monitoring, and communication. With the promotion of these advances through AI techniques, savings can be made in the field of remote monitoring of equipment, service, maintenance, and production. A great deal of research has been done, and a great deal of research is yet to be done to take full advantage of AI technology for cost reduction by improving the efficiency of the power system, centralized control, and monitoring.