Power
Amir Ghaedi; Mehrdad Mahmoudian
Abstract
In solar power towers or central receiver generation units, solar radiation is concentrated on a central receiver placed at the top of a tower through a heliostat field. The concentrated solar energy can generate superheated steam in a Rankine cycle to produce electricity. Since solar energy fluctuates, ...
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In solar power towers or central receiver generation units, solar radiation is concentrated on a central receiver placed at the top of a tower through a heliostat field. The concentrated solar energy can generate superheated steam in a Rankine cycle to produce electricity. Since solar energy fluctuates, the output power of solar tower power plants changes frequently, and many aspects of power networks incorporating high-capacity solar tower power plants may be affected, which must be investigated. For this purpose, this paper presents a reliability model for solar power generation units based on the failure of component devices and changes in produced power. To determine the reliability of these plants, the effects of failures in their elements, including the heliostat field, central receiver, thermodynamic cycle components, generator, cable, electrical converter, and transformer, on overall outage are considered. To decrease the number of states related to the reliability model of the solar power generation unit, the XB criterion is selected for calculation, and a fuzzy c-means clustering approach is used. The proposed multi-state reliability model is implemented to evaluate the adequacy assessment of RBTS and IEEE-RTS as two reliability test systems. Important reliability indices, including load and energy-curtailed indices and those associated with the system's capability to supply the required load, are calculated.
Power
Amir Ghaedi; Mehrdad Mahmoudian
Abstract
In recent years, energy storage systems are increasingly used in power systems to store electricity when the generated power is more than the required load. The advantages of the energy storage systems in the power system include improved reliability, energy storage in non-peak times and production in ...
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In recent years, energy storage systems are increasingly used in power systems to store electricity when the generated power is more than the required load. The advantages of the energy storage systems in the power system include improved reliability, energy storage in non-peak times and production in peak times that results in the peak reduction of the power system, storage at times of low electricity prices, and generate at times of high electricity prices, and storage of the surplus production capacity of renewable energy resources such as wind turbines and photovoltaic systems that their production is not controllable. Among different energy storage systems, pumped-storage generation units can be integrated into electricity networks with high-energy storage capacity and no environmental effects. For this purpose, in this research, the adequacy assessment of power systems including pumped-storage generation units is studied. At first, the paper develops a reliability model for these energy storage systems considering the failure of composed components including the motor-generator, pump-turbine, control, protection and measurement systems, turbine housing, water channel, up and down reservoir and transformer. To consider effect of pumped-storage generation plants on the reliability of the power system, the load duration curve of system is modified. Then, the proposed model is implemented for assessing the adequacy of power systems considering the effect of generation and transmission networks using an analytical method through contingency analysis technique. To study the effectiveness of suggested reliability model, numerical results related to reliability assessment of RBTS and IEEE-RTS are presented. It is concluded from numerical outcomes that pumped storage power plants can improve the reliability indices of the power systems. Integration of understudied pumped storage generation unit into RBTS, system load can increase up to 15 MW.