Reliability modelling of compressed air energy storage for adequacy assessment of wind integrated power system

Bhattarai, Safal; Karki, Rajesh; Piya, Prasanna

doi:10.1049/iet-gtd.2019.0179

Cited by 10 publications

(3 citation statements)

References 41 publications

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“…With the current shortage of fossil sources and environmental protection, renewable energy (RE) such as wind energy and solar energy have attracted more and more attention. Due to the rapid development of RE, its characteristics of intermittency and volatility can accompany great challenges to renewable energy sources and power grids [1][2][3]. During periods of low natural wind, the supply of wind power is insufficient.…”

Section: Introductionmentioning

confidence: 99%

Exergy analysis and particle swarm optimization of clean energy router based on a solar‐thermal‐assisted advanced adiabatic compressed air energy storage system

Chen

et al. 2023

IET Renewable Power Gen

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The clean Energy router based on advanced adiabatic compressed air energy storage (AA‐CAES) has the characteristics of large capacity, high efficiency and zero carbon emission which are an effective mitigation scheme for the integration of renewables and peak‐shaving and a new clean energy technology for storing energy in the world. A novel solar‐thermal‐assisted AA‐CAES (ST‐AA‐CAES) is proposed in this paper, integrating variable thermal energy storage to improve the system electric to electric (E2E) and round‐trip efficiency (RTE). The efficiency and exergy evaluation of ST‐AA‐CAES are carried out to determine the performance of ST‐AA ‐CAES. The results illustrate that E2E, RTE, and exergy efficiency can reach 56.4%, 95.5%, and 55.9%, respectively. Meanwhile, the details of exergy efficiency and destruction of each subsystem are demonstrated. Particle swarm optimization algorithm is applied to analyse the economy of optimally integrated energy systems which has the advantages of high accuracy, convenient implementation and fast convergence. The system can be applied in abundant solar energy resources area with high efficiency and multi‐energy supply capability.

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Section: Introductionmentioning

confidence: 99%

Exergy analysis and particle swarm optimization of clean energy router based on a solar‐thermal‐assisted advanced adiabatic compressed air energy storage system

Chen

et al. 2023

IET Renewable Power Gen

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“…4 The emergence and application of image recognition methods and intelligent video monitoring methods have promoted the intelligent video monitoring methods to become more intelligent, which is also a key feature of the progress of video monitoring technology. [5][6][7] The realization and research of image recognition algorithm has also become the focus of intelligent video surveillance methods. Because image recognition technology is a method to identify multiple different types of signs and objects through the processing, classification and processing of image information by algorithms, due to the rapid development of image recognition technology and the need for intelligent management of power supply system, it also forms an urgent requirement to apply it to the classification and recognition of monitoring images in substations.…”

Section: Introductionmentioning

confidence: 99%

Multi-source data distribution network patrol system based on wireless network

Huang,

Fang,

Wang

et al. 2023

Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023)

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Patrol inspection is an important part of the daily work of the power plant. The quality of patrol inspection is often related to the safe operation of the power plant. In the modern power system, there are many and complex parameters of the equipment. It is a time-consuming and laborious matter to judge whether the parameters exceed the standard only by manual work. Therefore, how to use the powerful computing and storage capabilities of the ironing network to reduce the analysis of manual operation while ensuring information security is a problem worth studying. The beneficial effects of the power plant patrol management system studied in this paper are: the use of data source signal acquisition, including temperature, humidity, vibration, etc., reflects the operation status of the equipment more comprehensively, and the GPS positioning and identity verification are set up at the same time. The use of cloud computing greatly reduces the calculation and storage of the local server.

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“…In response to the characteristics of system reliability assessment and the problem that the data were easily overwhelmed in the traditional Bayesian method, reference [26] proposed a hybrid Bayesian assessment method for the reliability of complex systems based on unit reliability data. Reference [27] blended state-of-charge models from the simulation method and the analysis method to finally obtain an equivalent averaging model. Based on this model, the wind integrated power system was evaluated in terms of seasonal accumulation and diversion of energy.…”

Section: Introductionmentioning

confidence: 99%

A Reliability Evaluation Method for Independent Small Offshore Electric Systems

et al. 2021

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As an independent power system, the reliability of offshore electric system is closely related to the smooth progress of offshore oil production. There are two major characteristics of this type of power system. One is that it includes a generation system, transmission system, as well as a distribution system, and the other is that the load shedding measures in the event of a fault are different from that of the onshore power grid. Therefore, traditional reliability assessment models and algorithms cannot be used directly. Based on the theory of overall reliability evaluation, a reliability evaluation method suitable for offshore electric systems and the corresponding reliability indicators are proposed in this paper. In state sampling, the overall system sampling is divided into generation system sampling, transmission system sampling, and distribution system sampling based on the hybrid sampling theory. In state assessment, the priority decoupling load shedding model and the cascade fault model are established considering the actual production. At the end of this paper, the power system of an offshore oil platform is taken as an actual example to calculate the reliability index. Based on the failure analysis, relevant measures to improve the reliability of the system are proposed.

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Reliability modelling of compressed air energy storage for adequacy assessment of wind integrated power system

Cited by 10 publications

References 41 publications

Exergy analysis and particle swarm optimization of clean energy router based on a solar‐thermal‐assisted advanced adiabatic compressed air energy storage system

Exergy analysis and particle swarm optimization of clean energy router based on a solar‐thermal‐assisted advanced adiabatic compressed air energy storage system

Multi-source data distribution network patrol system based on wireless network

A Reliability Evaluation Method for Independent Small Offshore Electric Systems

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