Solar Power Plant Research Paper

Economic optimization of solar power plants using load flow algorithm and RBF neural algorithm

Alireza Malek Ahmadi

Abstract- In new energy sources, solar energy as a source of endless energy can provide a high percentage of the energy required. Thus, most recently with the construction of solar power plants, energy from the sun takes place. However, the main problem in the construction of the power plant is economically feasible. Hence, there are different parameters and criteria according to which the economic efficiency of a solar power plant can be determined. The purpose of this article is to provide optimal load distribution using an algorithm able to build a solar power plant feasibility of further increase. Using load balancing algorithm,

As far as the excessive use of these resources increases the amount of water vapor, CO2 and SO2 will be. The most important risks resulting from the consumption of fossil fuels can be environmental pollution, the greenhouse effect, climate change and acid rain have been reported. Therefore, efficient use of energy in the process of economic development has always been considered as an important goal of sustainable development. To avoid the impact of these disadvantages, renewable energy or sustainable energy sources such as solar energy, wind energy and geothermal energy can be used [1].

The most important applications of solar energy can be photo-biological systems, photochemical systems, photovoltaic systems and heating-cooling systems, including water supply systems, heating and cooling of buildings, fresh water supply, transport and pumping systems, production systems, green space (greenhouses) and solar ovens, cooling systems and solar dryer. To start, the solar industry is capital-intensive. So the problem of the main obstacles in the way of public investment, the use of solar energy is considered

Non-linear equations The total reactive power injection system constitutes the active power loss, so we can write: It is observed that the active power losses is always positive, because the absolute value of the difference angles are less than 90 degrees and the cosine function within this range is always positive. Total reactive power injection will be reactive against losses means: However sinus function is observed that this amount can be positive or negative. Potential losses are a function of voltage and voltage angle. The only difference between angle of voltages in the presence of phrases like always there for directions. The difference is the angles of active power flow. On each bus is set 6 variables Load forecasting methods

Network load prediction for different methods out there that these methods, different in appearance but the basis of the performance of the overall equality of the law, and they often predicting the future trend of the times and it is based on the process parameters of impact on it in the past. The relationship between the two model specifies the process