Wavelet analysis based PEMFC fault diagnosis

Jia, Xiaogang; Zhou, Na

doi:10.1201/b18409-15

Cited by 7 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For independent random variables, we have the conclusion that the cumulants of a sum are the sum of cumulants [26]. [27], W C is symmetric and positive definite so that we could decompose it through Cholesky decomposition T , W  C LL (11) where L is the lower triangular matrix. If A is an orthogonal matrix that meets the requirement of transforming correlated input random variables W into the uncorrelated ones, we have , Y = AW (12) where…”

Section: B Cumulants Of Sum Of Correlated Random Variablesmentioning

confidence: 99%

“…Though the excessive CPU time of MCS makes it less attractive, it serves as a benchmark to evaluate the effectiveness of other PLF solutions for its high accuracy and being easy to implement. Recently, with the development of high-performance computing technology [11] and advanced sampling techniques [12], the computational burden of MCS has been reduced dramatically, but it is still an ongoing research area.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Analytic Approach to Probabilistic Load Flow Incorporating Correlation Between Non-Gaussian Random Variables

Huang¹,

Xu²,

Jiang³

et al. 2018

ElAEE

View full text Add to dashboard Cite

This paper presents a cumulant-based method for probabilistic load flow (PLF) analysis which incorporates correlation between input random variables. Our approach can approximate non-Gaussian variables of all kinds (e.g. different load profiles or renewable power injections) accurately using the Gaussian mixture model (GMM), which also facilitates the computation of cumulants in a straightforward numerical way. Multiple correlations can be easily handled by transforming correlated variables into a combination of uncorrelated ones. To reduce the deviations introduced by traditional series expansions such as Edgeworth or Cornish-Fisher series, we use C-type Gram-Charlier series instead, which can better predict the probabilistic tail regions and have good convergence property as well. The good performance of the proposed method is verified using the IEEE 30 test system in terms of accuracy and efficiency.

show abstract

Section: B Cumulants Of Sum Of Correlated Random Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Analytic Approach to Probabilistic Load Flow Incorporating Correlation Between Non-Gaussian Random Variables

Huang¹,

Xu²,

Jiang³

et al. 2018

ElAEE

View full text Add to dashboard Cite

show abstract

“…PLF is implemented to capture the steady-state behavior of the highly uncertain systems and can be either solved numerically, e.g., using Monte Carlo simulation (MCS) [8] or analytically. Analytical approaches such as convolution method [9] and cumulant method (CM) [10] are less computationally intensive due to the linearization of power flow equations.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Huang

Abedi

et al. 2019

IEEE Access

View full text Add to dashboard Cite

With the deepening penetration of renewable resources worldwide, power system operators are faced with emerging challenges, e.g., the increase of operating risks due to the volatility and uncertainty of wind and solar power. To efficiently identify the operational limit violations, a switch from deterministic to stochastic framework for assessing the system security, which could manage various types of uncertainties, has been advocated in this paper. The established model is based on an improved probabilistic load flow, which is adapted to incorporate the steady-state behavior of frequency regulation. An efficient importance sampling (IS) technique is also developed to speed up the crude Monte Carlo (MC) simulation in estimating the low probability of violations of security constraints. Extensive computational experiments on both the IEEE 14-bus test case and a simplified regional system show that the proposed IS estimator makes significant enhancement to the crude MC in the computational efficiency and has better numerical performance as compared with other IS schemes. INDEX TERMS Security risk assessment, numerical method, renewable energy integration, frequency regulation, probability.

show abstract

“…In terms of uncertainty quantification methods, there exist three main categories: simulation method, approximation method, and analytical method. Monte Carlo simulation is widely utilized due to its simplicity and applicability as a typical simulation method [22]. However, it is rather time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Deposit Mechanism Design and Corresponding Decision Strategy considering Uncertainty of Customer Behaviour

Liu

Huang

et al. 2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Demand response (DR) has received great concern since the significant growth in electricity consumption and peak-valley difference were witnessed recently. Based on the theory of customer psychology, an uncertainty model of customer behaviour is proposed. By converting electric power to deposit points, a novel deposit mechanism is designed in this paper, which can better deal with the special situations in China. Compared with traditional mechanism, the proposed deposit mechanism is capable of improving acceptability of DR methods in China and achieving greater mobilization of customer motivation for its more understandable rules and higher participation compensations. Furthermore, a decision strategy considering benefits of both the power company and the subscribed customers is proposed based on the uncertainty model of customer behaviour and the proposed deposit mechanism, which aims at achieving win-win situations and greater mobilization of customer motivation. The uncertainties in decision strategy are quantified by the uniform design sampling (UDS) method which is more efficient and computationally accurate than traditional Monte Carlo simulation. With the electricity data of Nanjing City, China, the superiority of proposed deposit mechanism and decision strategy are verified by numerical simulations.

show abstract

Wavelet analysis based PEMFC fault diagnosis

Cited by 7 publications

References 1 publication

An Analytic Approach to Probabilistic Load Flow Incorporating Correlation Between Non-Gaussian Random Variables

An Analytic Approach to Probabilistic Load Flow Incorporating Correlation Between Non-Gaussian Random Variables

Stochastic Security Assessment for Power Systems With High Renewable Energy Penetration Considering Frequency Regulation

Deposit Mechanism Design and Corresponding Decision Strategy considering Uncertainty of Customer Behaviour

Contact Info

Product

Resources

About