Location of low-frequency oscillation sources using improved D-S evidence theory

Gu, Jiu; Xie, Da; Gu, Chenghong; Miao, Jierong; Zhang, Yu

doi:10.1016/j.ijepes.2020.106444

Cited by 7 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [93] combines three traditional localization methods, including the D–S evidence theory, the quality function and trust degree of the bus, as well as a fusion model of the oscillator source location. Ref.…”

Section: Localization Of Oscillationmentioning

confidence: 99%

Power system wideband oscillation estimation, localization, and mitigation

Qiu

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

With the development of the energy structure of the power system, the characterization of the observed oscillation in the power system has steadily evolved. With the increasingly high penetration of distributed energy sources and power electronic devices, such as the photovoltaic, wind power and charging pile, the basic mechanism, frequency ranges and propagation of oscillation would become more dynamic and complex. Therefore, the traditional parameter estimation, as well as the suppression methods would also suffer from dynamic oscillations. To this end, this paper first investigates the oscillation propagation and typical events caused by the oscillations. Next, the oscillation model estimation method including the model-based and data-driven based methods is discussed. The benefits and difficulties of various parameter estimate techniques are highlighted. Under this context, the validity and limitations of the current power system stability are summarized. Furthermore, the different oscillation damping and mitigation measures are compared, and the major adaptability and limitations are listed for the specific application scenarios. Conclusions are drawn, and the wideband oscillation becomes the future research objective where the future work is presented at the end of the paper.

show abstract

Section: Localization Of Oscillationmentioning

confidence: 99%

Power system wideband oscillation estimation, localization, and mitigation

Qiu

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…In the 1990s, to solve the problem of the uncertainty of research objects, Li Deyi proposed the concept of the cloud model 26 . The cloud model is used to calculate the expected value, entropy, and hyper entropy of the new power system investment project, reflecting the randomness and fuzziness of the investment project optimization problem, and realizing the mutual mapping relationship between qualitative and quantitative evaluation indicators.…”

Section: A New Power System Investment Project Optimization Evaluatio...mentioning

confidence: 99%

Research on the optimal model for the evaluation of new power system investment projects based on the cloud model–DS evidence theory–TOPSIS method

Ma,

Chen,

Mei

2023

Energy Science & Engineering

View full text Add to dashboard Cite

Considering that the traditional investment project evaluation system can no longer fully adapt to the characteristics of the new power system under the investment environment of the new power system, this study constructed a new power system investment project evaluation and optimization method based on the combination of the cloud model, evidence theory and the TOPSIS method. First, 16 evaluation indexes were considered based on four dimensions, namely green and low‐carbon, safe and reliable, flexible and intelligent, and economical and efficient, and the optimal evaluation index system of new power system investment projects was designed. Second, the normal cloud model was used to obtain the evaluation membership distribution of each index and turn it into evidence. Considering the conflicts between indicators and the combinational contradictions of traditional evidence theories, an improved DS evidence theory based on a game weight coefficient discount to reduce conflicting evidence was used to fuse the membership information of multiple indicators. On the basis of the evaluation results of each scheme, this study used the TOPSIS method to sort the advantages and disadvantages of each scheme. Finally, the project of planning and putting this model into operation in the 14th Five‐Year project database of a power grid enterprise was selected as an example to carry out empirical analysis, and the effectiveness and superiority of the proposed model were verified.

show abstract

A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory

Zhao

Chen

et al. 2022

Applied Soft Computing

View full text Add to dashboard Cite

Location of low-frequency oscillation sources using improved D-S evidence theory

Cited by 7 publications

References 27 publications

Power system wideband oscillation estimation, localization, and mitigation

Power system wideband oscillation estimation, localization, and mitigation

Research on the optimal model for the evaluation of new power system investment projects based on the cloud model–DS evidence theory–TOPSIS method

A survey: Optimization and applications of evidence fusion algorithm based on Dempster–Shafer theory

Contact Info

Product

Resources

About