Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Tawfiq, A. A.; el-Raouf, M. Osama abed; Mosaad, Mohamed I.; Gawad, Amal Farouk Abdel; Farahat, M.A.

doi:10.1109/access.2021.3064906

Cited by 33 publications

(23 citation statements)

References 43 publications

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“…As mentioned in the introduction, one of the main challenges of REPPs is their production uncertainty [2,3]. Although using the LWPF reduces this uncertainty, it cannot be ignored.…”

Section: ) Generation Uncertainty Of Lwpfmentioning

confidence: 99%

“…Global warming, environmental pollutions and other destructive effects of fossil fuels-based power generation have led to a growing focus on the use of renewable energies around the world [1]. So, a growing trend can be seen in establishing and exploiting renewable energy power plants (REPPs) [2,3]. This type of power plants is usually integrated with the main grid to increase generation capacity with low pollution.…”

Section: Introductionmentioning

confidence: 99%

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PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

et al. 2021

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Due to global warming problems and increasing environmental pollution, there is a strong tendency to install and apply renewable energy power plants (REPPs) around the world. On the other hand, with the increasing development of information and communication technology (ICT) infrastructures, power systems are using these infrastructures to act as smart grids. In fact, future modern power systems should be considered as smart grids with many small and large scale REPPs. One of the main problems and challenges of the REPPs is uncertainty and fluctuation of electrical power generation. Accordingly, a suitable solution can be combination of different types of REPPs. So, the penetration rate of large-scale wind-PV farms (LWPF) is expected to increase sharply in the coming years. Given that the LWPFs are added to the grid or will replace fossil fuel power plants, they should be able to play the important roles of synchronous generators such as power low-frequency oscillation (LFO) damping. In this paper, an LFO damping system is suggested for a LWPF, based on a phasor measurement unit (PMU)-based fractionalorder proportional-integral-derivative (FOPID) controller with wide range of stability area and proper robustness to many power system uncertainties. Finally, the performance of the proposed method is evaluated under different operating conditions in a benchmark smart system.

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“…As mentioned in the introduction, one of the main challenges of REPPs is their production uncertainty [2,3]. Although using the LWPF reduces this uncertainty, it cannot be ignored.…”

Section: ) Generation Uncertainty Of Lwpfmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

et al. 2021

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“…Other works have considered how renewable resources may be essential to improving the resilience of power systems. In this context, some academics have indicated that the performance of PV systems and hybrid systems composed of wind, PV and batteries can increase operational efficiency and improve reliability and resilience after a natural disaster [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

Beyza

Yusta

2021

Energies

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Power systems face failures, attacks and natural disasters on a daily basis, making robustness and resilience an important topic. In an electrical network, robustness is a network’s ability to withstand and fully operate under the effects of failures, while resilience is the ability to rapidly recover from such disruptive events and adapt its structure to mitigate the impact of similar events in the future. This paper presents an integrated framework for jointly assessing these concepts using two complementary algorithms. The robustness model, which is based on a cascading failure algorithm, quantifies the degradation of the power network due to a cascading event, incorporating the circuit breaker protection mechanisms of the power lines. The resilience model is posed as a mixed-integer optimisation problem and uses the previous disintegration state to determine both the optimal dispatch and topology at each restoration stage. To demonstrate the applicability of the proposed framework, the IEEE 118-bus test network is used as a case study. Analyses of the impact of variations in both generation and load are provided for 10 simulation scenarios to illustrate different network operating conditions. The results indicate that a network’s recovery could be related to the overload capacity of the power lines. In other words, a power system with high overload capacity can withstand higher operational stresses, which is related to increased robustness and a faster recovery process.

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“…However, since their generations of power is purely stochastic in nature (completely depend on climatic conditions which are extremely complex to be predicted accurately), and instances such as the technical connection failures, the set-up Renewable Energy Supply System (RESS) might experience frequent load failures or blackouts [3]. In other words, they are unable to guarantee a reliable and continuous supply of energy at a cost that can compete with the conventional power from the grid since the reliability level is highly influenced by the system's technical operation and the intermittency in the RES.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Method for Estimating the Level of Reliability of Solar Photovoltaic Systems for Households in Ghana

Abubakar

Musah

Owusu

et al. 2021

AJPAS

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Renewable Energy Resources have been identified among the most promising sources of harnessing power for industrial and household consumption but their power generations highly uctuate so building renewable power systems without critical reliability analysis might result in frequent blackouts in the power system. Therefore, in this paper, a robust, effective and ecient design approach is proposed to handle the reliability issues. The study involves a Mathematical modelling strategy of the PV system to estimate the total PV power produced and the Bottom-Up approach for predicting the household load demand. The reliability is defined in terms of Loss of Load Probability. The design methodology was validated with a University Household. The data used for the analysis consists of daily average global solar irradiance and load profiles. The results revealed that throughout the year, November-February is where the system seems to be more reliable. Also, the results indicated that without buck-up systems, the system would experience an average annual power loss of 17.8753% and thus, it is recommended that either solar batteries or the grid are used as backup system to achieve a complete level of reliability.

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Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Cited by 33 publications

References 43 publications

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures

Probabilistic Method for Estimating the Level of Reliability of Solar Photovoltaic Systems for Households in Ghana

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