A New Solar Radiation Model for a Power System Reliability Study

Abunima, Hamza; Teh, Jiashen; Jabir, Hussein Jumma

doi:10.1109/access.2019.2916168

Cited by 32 publications

(14 citation statements)

References 25 publications

(45 reference statements)

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“…Firstly, modelling the failure rates of the PV system requires solar radiation, temperature and humidity data, which are all obtained from the State University of New York Project [33]. The data obtained from two locations, namely, Aceh, Indonesia ( [34] and simulated for 10,000 years. The hourly average of the solar radiation data is obtained from this model and grouped in accordance with the respective months.…”

Section: B Pv System Failure Rate Modelmentioning

confidence: 99%

Reliability Modeling of PV Systems Based on Time-Varying Failure Rates

Abunima

Teh

2020

IEEE Access

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The penetration of photovoltaic (PV) systems in power grids has substantially increased since the recognition of renewable energies. In a high solar-integrated network environment, an accurate forecast of the expected solar energy output is vital. One of the important factors that influence such forecast is the failure rates of PV systems. Therefore, a new and realistic reliability model of the PV system is proposed in this study. In contrast to the conventional reliability model, which uses fixed values of failure rates in a year, the proposed model considers various weather conditions, detailed PV system architecture, manufacturing quality and other necessary materials to determine the time-varying failure rates of the PV system. Results reveal that the proposed model produces monthly failure rates that are considerably different from the fixed yearly failure rate in which the difference in high latitude regions is more significant than that in tropical climate regions.

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Section: B Pv System Failure Rate Modelmentioning

confidence: 99%

Reliability Modeling of PV Systems Based on Time-Varying Failure Rates

Abunima

Teh

2020

IEEE Access

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“…If an OTEC system with h states is added to the composite system, the number of contingencies would be optimize the cost function, the problem constraints (including the power balance equation must be established, the generated power of generation units must be within the permissible range, the interrupted load must be less than the maximum load and the transmitted power of the transmission lines must be less than nominal capacity) must be satisfied. Based on the contingency analysis, adequacy studies of composite power system containing OTEC systems are performed and reliability indices such as the probability of lost load (QS), LOLE and EENS associated to each load point can be determined using of Relations (24), (25) and (26), respectively. Where, Pi is the probability of state i, Bi is a binary number with two values of 0 and 1 that 1 represents the state results in the load curtailment of understudied bus, n is the number of all states and Li is the value of lost load of understudied load point associated to the state i.…”

Section: The Effect Of Transmission System On the Adequacy Studiesmentioning

confidence: 99%

“…In [25], reliability assessment of distribution network containing renewable resources and parking lots using of the non-sequential Monte Carlo simulation approach is performed and it is concluded that parking lots can improve the reliability of renewable-based distribution networks. In [26], a new robust and easy to use model is developed for simulation solar radiation that can be used for reliability assessment of power systems containing solar generation systems. In [27], a new approach is proposed to evaluate the reliability of wind farms considering the correlation between wind speed and wind turbine reliability.…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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.

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“…As such, the ARMA model is used in this paper. As for the modelling of the solar radiation, it has been shown that the proposed model in our previously published paper (see section II.B) [51] is more robust than existing models and it is also used in this paper.…”

Section: A Reliability Test Systemmentioning

confidence: 99%

Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems

2019

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Integrations of renewable energies, particularly solar and wind, are increasing worldwide due to carbon emission reduction efforts and maturing technologies that have driven down the cost of their energy productions. Due to the intermittency of these renewable sources, the battery energy storage system often coexists alongside solar/wind energy systems. Integrating these two aspects into power systems requires the consideration of reliability, social wellbeing and environmental factors, which collectively form a multi-objective optimization problem that this paper aims to solve with the non-dominated sorting genetic algorithm. The proposed method is able to find optimum solutions that are equally beneficial to all factors -Pareto front -without being heavily biased to any one of them. The proposed method is separated into two parts by first optimizing the penetration of solar/wind energy, followed by the optimization of the energy storage capacity in the second part. The fuzzy decision making method is utilized to select a preferred solution from the Pareto front based on the assignment of the membership function values to reflect operator's preferences. The proposed method was implemented on the IEEE Reliability Test System overlaid with the real sampled weather data. The proposed objectives in the optimization problem are also practical and useful for the expansion of generation systems.

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A New Solar Radiation Model for a Power System Reliability Study

Cited by 32 publications

References 25 publications

Reliability Modeling of PV Systems Based on Time-Varying Failure Rates

Reliability Modeling of PV Systems Based on Time-Varying Failure Rates

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

Multi-Objective Optimization of Solar/Wind Penetration in Power Generation Systems

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