Virtual Power Plant Operation Based
on Entropy-Weight-Improved Cloud Risk
Assessment Model

Guo, Weishang; Wang, Q.; Liu, Haiying; Liang, Fengwei; Zhang, Xinyang; Liu, Huan

doi:10.15244/pjoes/162250

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…AHP compares the importance of each indicator through expert scores, constructs judgment matrices, obtains an evaluation of the importance of each indicator, and calculates the weight value of each indicator. EW can be used to objectively determine the weights of indicators based on the dispersion of each indicator value, which is less affected by subjective factors than AHP [18,19].…”

Section: Related Workmentioning

confidence: 99%

Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Liu,

Wang,

et al. 2023

Sustainability

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Floods are serious threats to the safety of people’s lives and property. This paper systematically introduces the basic theories and methods of flood risk assessment, takes Sichuan Province as the study area, and establishes a flood risk assessment index system with 14 indicators in four aspects—disaster-causing factors, disaster-forming environment, disaster-bearing body, and regional disaster resilience capacity—from the causes of disaster losses and flood formation mechanisms. Furthermore, this paper constructs a flood disaster risk assessment model for Sichuan Province based on a cloud model, entropy value, and GIS technology. The model is validated by taking the July–August 2023 flood disaster as an example, and the results show that the distribution of the disaster was consistent with the flood risk assessment results of this paper, which verifies that the selected indicators are appropriate and the model is accurate and valid.

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Section: Related Workmentioning

confidence: 99%

Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Liu,

Wang,

et al. 2023

Sustainability

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A grey target performance evaluation model for aeroengine pressure test bench

Zhang,

Ying,

Zhou

et al. 2024

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PurposeThis paper aims to optimize the air pressure regulation scheme of the aeroengine pressure test bench.Design/methodology/approachBased on the requirements of pressure regulation process and the operating mechanism of aeroengine pressure test bench, a grey performance evaluation index system is constructed. The combination of principal component analysis and grey theory is employed to assign weights to grey indexes. The grey target evaluation model is introduced to evaluate the performance of historical regulation processes, and the evaluation results are analyzed to derive optimization mechanism for pressure regulating schemes.FindingsA case study based on monitoring data from nearly 300 regulation processes verifies the feasibility of the proposed method. On the one hand, the improved principal component analysis method can achieve rational weighting for grey indexes. On the other hand, the method comparison intuitively shows that the proposed method performs better.Originality/valueThe pressure test bench is a fundamental technical equipment in the aviation industry, serving the development and testing of aircraft engines. Due to the complex system composition, the pressure and flow adjustment of the test bench heavily rely on manual experience, leading to issues such as slow adjustment speed and insufficient accuracy. This paper proposes a performance evaluation method for the regulation process of pressure test bench, which can draw knowledge from historical regulation processes, provide guidance for the pressure regulation of test benches, and ultimately achieve the goal of reducing equipment operating costs.

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