Reliability Evaluation and Financial Viability of an Electricity Power Micro-Grid System With the Incorporation of Renewable Energy Sources and Energy Storage: Case Study of KwaZulu-Natal, South Africa

Onaolapo, Adeniyi Kehinde; Carpanen, Rudiren Pillay; Dorrell, David G.; Ojo, Evans E.

doi:10.1109/access.2021.3129980

Cited by 21 publications

(12 citation statements)

References 42 publications

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“…[7] For this reason, it is necessary to further calculate the expected energy value of the battery of multiple modules in parallel, and then multiply the expected energy value of the model by the energy difference of the other normal modules to obtain the energy value of each single failed module, and compare the output power of the failed module with the output power of the normal module, so as to determine whether the failed PV module can still be used continuously. [8] Therefore, the BP neural network judgment mode is constructed in this paper to facilitate the timely replacement of PV modules with large failure range, so as to further improve the efficiency of the power station and avoid the occurrence of potential safety hazards.…”

Section: Establishment and Improvement Of Prediction Modelmentioning

confidence: 99%

Research on fault diagnosis of electromechanical actuator based on convolution neural network

Xu¹

2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

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This paper introduces the research of fault diagnosis based on convolution neural network. Firstly, the electronic control lock, sensor and microcomputer are briefly introduced, then the problems and failure mechanism in traditional language signal processing are analyzed, and a new method, "Post Signal to Noise Ratio Method" (NOPNL), is proposed; BP algorithm is used to train the stiffness function and expected threshold, and a probability adaptive factor weight vector model is established to predict the noise control of electromechanical actuator under sliding mode variable structure. Finally, the comparative experiment of test results shows that this method has certain advantages and feasibility in practical application.

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Section: Establishment and Improvement Of Prediction Modelmentioning

confidence: 99%

Research on fault diagnosis of electromechanical actuator based on convolution neural network

Xu¹

2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

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“…Low-and high-frequency oscillation phenomena exist in the synchronverter gridconnected system due to external interference and factors of the synchronverter itself [19]. The introduction of virtual synchronization makes the system have low-frequency oscillation characteristics similar to that of a synchronous motor [20]. Furthermore, the combined action of some functions of the synchronverter and external interference will stimulate the original mode change of the inverter and cause the high-frequency oscillation of the grid-connected system [14].…”

Section: Virtual Synchronous Generatormentioning

confidence: 99%

“…In [19], the authors adopted the classical method of stability analysis in a power system, taking the power angle and frequency of synchronverter as the state variables, establishing the state-space equation, and used the characteristic root locus method to study the influence of parameter changes on the stability of the system. The authors in [20] studied the stability of a synchronverter connected to a large power grid, establishing the transfer function between output power and input power, and analyzed the dynamic characteristics of the system.…”

Section: Virtual Synchronous Generatormentioning

confidence: 99%

An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination

et al. 2022

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To reduce the allocation of energy storage capacity in wind farms and improve economic benefits, this study is focused on the virtual synchronous generator (synchronverter) technology. A system accompanied by wind power, energy storage, a synchronous generator and load is presented in detail. A brief description of the virtual synchronous generator control strategy is given. The capacity allocation is based on different optimization goals and the optimal energy storage capacity configuration of the coordinated frequency modulation (FM) control strategy. The detail of the dual-loop control strategy is carried out by establishing the grid-connected transfer function model of the synchronverter energy storage and a theoretical model of life cycle cost is established. The optimal control strategy of coordinated FM for wind storage is implemented using MATLAB software. The simulation showed that the proposed strategy provided the energy storage capacity at high wind speed, which is configured to be 5.9% of the installed capacity of the wind turbine, marking a reduction of 26% compared with the 8% capacity required for independent support. In addition, the proposed method has improved the energy storage capacity configuration of the coordinated FM control strategy.

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“…Pakistan is also facing an economic crisis, but if the transition to renewable energy can be made quickly, it will bring prosperity and sustainability [9,10]. The cost of energy (COE) produced by the grid is high compared to the grid [11]. The State of Azad Jammu and Kashmir also has a huge potential for renewable energy which is not addressed properly [12].…”

Section: Introductionmentioning

confidence: 99%

Renewable energy integration in healthcare systems: A case study of a hospital in Azad Jammu and Kashmir

Naveed,

Iqbal,

Munir

et al. 2024

IET Renewable Power Gen

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Renewable energy sources have gained widespread attention due to their abundance and cost‐effectiveness. In particular, healthcare systems and hospitals are increasingly seeking clean and renewable energy solutions to reduce energy costs, price volatility, and protect community health. However, proper load estimation and techno‐economic analysis are crucial to ensure the optimal performance and reliable power supply of renewable energy systems. This study focuses on conducting a case study on load estimation and techno‐economic analysis for a hospital located in a remote area of Azad Jammu and Kashmir, Pakistan. Through this analysis, the study aims to determine the feasibility of implementing a renewable energy system at the hospital and assess the potential benefits in terms of energy production, cost savings, and environmental impact. Two different clean energy management softwares, HOMER PRO and RETScreen Expert, are utilized to compare the proposed hybrid (PV/Wind/Battery/Convertor/Grid) system with the existing system in terms of cost minimization, optimal system configuration, and environmental effects. The results demonstrate that the proposed hybrid system is more efficient, stable, cost‐effective, and a environmentally friendly option. Moreover, the annualized energy production, consumption, and grid load reduction are also calculated. The findings of both software programs are compared for validation of the proposed optimal system. The techno‐economic analysis of the proposed system can serve as a useful guideline for other commercial facilities in the region to utilize solar and wind energy.

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Reliability Evaluation and Financial Viability of an Electricity Power Micro-Grid System With the Incorporation of Renewable Energy Sources and Energy Storage: Case Study of KwaZulu-Natal, South Africa

Cited by 21 publications

References 42 publications

Research on fault diagnosis of electromechanical actuator based on convolution neural network

Research on fault diagnosis of electromechanical actuator based on convolution neural network

An Energy Storage Assessment: Using Frequency Modulation Approach to Capture Optimal Coordination

Renewable energy integration in healthcare systems: A case study of a hospital in Azad Jammu and Kashmir

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