Reliability Evaluation of Power Systems Containing Ocean Thermal Energy Conversion Power Plants

Abstract

Recently, renewable power plants, utilize from clean and sustainable resources for electricity generation in the world. The ocean thermal energy conversion (OTEC) system uses from the ocean surface water as high temperature source and the water in the depth of the ocean as low temperature source. The difference between these temperatures is 20 0 C or more and a working fluid with low boiling point can be used for electricity generation. In a close cycle OTEC system, working fluid through a thermodynamic cycle based on the Rankine cycle can rotate the turbine and generate electricity. Due to the variation in the ocean surface temperature, the output power of the OTEC system changes and results in the numerous states in the generated power of this plant. Thus, in integrating the OTEC systems to the power system, many aspects of power system such as reliability may be affected and so new approaches must be developed for investigation these effects. In this paper, the reliability of the power system containing OTEC system based on the multistate reliability model and also based on the conditional value at risk concept is evaluated and the valuable indices used for generation expansion planning of the power system are calculated.

The impact of variation in water flow rate and temperature on reliability analysis of run of the river power plants

“…Drawbacks [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] Reliability evaluation of the electric network containing renewable energy-based units is performed Constant components failure rate is considered [16][17][18] Reliability assessment of electric network containing wind and tidal turbines considering speed variation is performed Reliability analysis of ROR plant is not performed.…”

“…In [4][5][6][7][8][9][10][11][12][13][14][15], the authors use similar approaches based on the analytical method applied in [1,2], for developing a multi-state reliability presentation of other renewable sources including wind farms, photovoltaic systems, central receiver power plants, barrage kind tidal units, stream kind tidal turbines, wave generators, and ocean thermal power plants. Here, for reducing the number of power states caused by change of renewable resources such as wind velocity, sun radiation, level of tides, tidal stream velocity, the level and period of waves, and temperature of the water placed on the ocean surface, fuzzy c-means clustering technique is suggested.…”

“…For reliability modelling of renewable energy-based power plants, two aspects of them should be considered: the impact of composed components failure and the impact of variation in the renewable resources. In [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15], the impact of composed components failure on the overall failure of plant is addressed to determine the equivalent failure rate of the plant. Besides, the impact of variation in the renewable resource on the reliability model of the plant that results in the multi-state model is considered in the mentioned papers.…”

“…Due to the variation in the renewable resource, the failure rate of composed components of the renewable energy-based power plants may vary that must be considered in the accurate reliability analysis of the power systems containing these generation units. However, in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15], hazard rates of assembled elements are considered to be constant, and the impact of the variation in the renewable resources on the failure rates is not considered. Due to the importance of the variable failure rates of the composed elements of wind, photovoltaic and tidal units caused by change of renewable resources, papers [16][17][18][19][20] have been devoted on reliability analysis of wind turbines, photovoltaic systems, and barrage kind tidal units and tidal turbines considering the resource variations.…”

A Phenomenological Approach to Analysis of Maintenance Activities Impact on Interruption Duration in Electricity Distribution Systems, based on Historical Data and Expert Judgment

“…Among these factors, the duration and frequency of power interruptions play a particularly significant role. Consequently, electricity distribution companies devote their efforts to improving system reliability by mitigating power interruptions [2][3][4][5], utilizing solutions including distribution automation [6][7], distributed generation (DG) [8][9][10], demand-side management (DSM) [11][12][13][14][15], and proactively engaging in maintenance activities [16,17].…”