The Development of the Optimal Model of Energy Resources Management in Energy Systems of the Republic of Crimea and the Middle East

摘要

Abstract The factors influencing the energy system of the Republic of Crimea were studied. Analysis of generating capacity to ensure reliable power supply to consumers and sustainability of the power system in different periods of the year was carried out. Research of the renewable energy role in the power system management was conducted, including the improvement of methods of management and optimization of solar power plants capacity. A study of the data necessary to build an optimal model of power system management was performed. Power system efficiency increased in relation to the price of electricity for consumers. We proposed the development of methods to optimize the production of solar power plants, affecting the operation of the Republic of Crimea and the Middle East power systems. Studies have established the dependence of the power system on the changeable generation of renewable energy sources, thereby showing the impact of meteorological factors on the power system operating modes. One of the rational approaches is the use of genetic algorithms to solve the problems of structural-parametric optimization of energy systems modes. It will allow optimizing of the management of the Republic of Crimea power system, including the creation of opportunities for optimal loading of the network, taking into account various specified conditions. The work identified the potential of Iraq’s energy industry for renewable sources, where solar photovoltaic technologies are suitable for the production of electricity throughout Iraq, due to the uniform distribution of solar radiation throughout the country. The results of the work revealed that the result obtained is applicable not only to the power system of the Republic of Crimea, but also to other foreign power systems of the Middle East with a large number of renewable energy sources and the potential construction of new solar power plants, that can make it possible to optimize the power system management.