Adaptability Evaluation of Distributed Power Sources Connected to Distribution Network

Huang, Yuansheng; Jiang, Yuqing; Wang, Jing

doi:10.1109/access.2021.3066206

Cited by 14 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The purpose of the five-level risk classification is to better identify and assess risks, prioritize risk control, and adopt effective risk management measures. Therefore, according to the characteristics of the new power system and the grading standards of previous research studies, this paper uses the five-level method [19] to classify the research objects into "major risk", "large risk", "general risk", "low risk", and "no risk", and the corresponding value ranges are [0, 20), [20,40), [40, 60), [60, 80), [80, 100). The calculation formula of the evaluation level expressed by the three parameters of the cloud model is…”

Section: Integrated Cloud Computingmentioning

confidence: 99%

Research on New Electric Power System Risk Assessment Based on Cloud Model

Tang,

Li,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

A large number of new energy power electronic equipment is connected to the new power system, and the high proportion of new energy brings huge volatility and randomness, so it is necessary to establish a systematic risk assessment system to adapt to the new power system. This paper has improved the neglect of environmental benefits and supply and demand balance in the existing indicator system and established an indicator system for the risk of the new power system from the five perspectives of safety, supply and demand, sufficiency, cleanliness, and flexibility through the analysis of the evaluation indicator system of the large power grid and the influencing factors of the new power system. The index weight of a new power system is established by means of the entropy weight–critic combination weighting method, and the comprehensive evaluation is carried out by combining it with the cloud model. Finally, the specific data of the new power system in Fujian Province from 2020 to 2022 are taken as an example to verify the feasibility of combining the combined weighting method and the cloud model, and it is concluded that the new power system in Fujian Province has been in a “low risk” operation state for the recent three years.

show abstract

Section: Integrated Cloud Computingmentioning

confidence: 99%

Research on New Electric Power System Risk Assessment Based on Cloud Model

Tang,

Li,

Zhang

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…To achieve a "carbon peak and carbon neutral", China is accelerating the transformation to low-carbon green energy to establish a clean, low-carbon, safe, controllable, flexible, efficient, intelligent, and friendly new power system with open interaction. In the face of large-scale access to clean energy caused by the grid-connected end voltage fluctuations of the distribution network, the line public node power factor of the distribution network is low, so it is necessary to carry out reactive power compensation for the 10 kV side grid-connected capacitor bank to ensure power matching [1][2][3][4][5][6] . Low voltage 10 kV side of conventional 110 kV/220 kV substation is generally used in the vacuum circuit IOP Publishing doi:10.1088/1742-6596/2814/1/012046 2 breaker switching parallel capacitor bank for reactive power compensation and voltage regulation.…”

Section: Introductionmentioning

confidence: 99%

Study on phase selection control characteristics of fast vacuum circuit breakers suitable for new power systems

Xu,

Lin,

Tian

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

With a high proportion of new energy access to the power system, the user side of the randomness and volatility of distributed photovoltaic large-capacity access to the 10 kV medium-voltage distribution grid operation results in more frequent fluctuations in the system voltage and more frequent switching of reactive compensation of the shunt capacitor bank on the 10 kV side of the conventional substation. Conventional reactive compensation switching circuit breakers adopt a spring mechanism whose mechanical stability is insufficient and the selection of the relevant fit capacitor bank accuracy is not enough. The 12 kV fast vacuum circuit breaker of small mechanical dispersion for selection related to the combination was proposed. First of all, based on the neutral grounded and ungrounded system of the capacitor bank, the strategy of capacitor bank phase selection closing was developed. For the action characteristics of the phase selection of the 12 kV fast vacuum circuit breaker, the variation laws of mechanical dispersion and the influence factors such as ambient temperature, capacitance voltage, capacitance degradation, mechanical wear, and conductive rod deformation were obtained by simulation and experiment. The results showed that the ambient temperature and capacitance voltage had a great influence on the switching time of the fast circuit breaker, while other factors had a small influence. Again, the pre-breakdown characteristics of the 12 kV fast vacuum circuit breaker were obtained by experiments. The results showed that the influence of contact opening distance and pre-breakdown voltage was a linear relationship, and the pre-breakdown slope was 30 kV/mm. According to the pre-breakdown closing characteristic curve, the pre-breakdown time of the fast circuit breaker was 0.45 ms at most. The feedforward compensation mechanism based on a neural network was proposed to compensate for the action characteristics of the fast circuit breaker and aimed to improve the phase selection accuracy. Finally, two rounds of capacitive current switching tests of 12 kV fast vacuum circuit breakers with C2 level were carried out in a third-party test station. The accuracy of phase closing is within the ±0.5 ms closing window, effectively preventing the occurrence of closing inrush current.

show abstract

“…Although there is a lack of research related to effect evaluation on three-phase imbalance treatment, there are many mature evaluation theories and methods used in various fields of power systems, such as the comprehensive evaluation of power quality combined with subjectivity and objectivity, fuzzy mathematics evaluation methods, and radar chart methods. [12][13][14][15][16]. Reference [12] establishes a scientific and reasonable evaluation index system of distribution network adaptability and combines the analytic hierarchy process (AHP) and entropy weight method to determine the index weight.…”

Section: Introductionmentioning

confidence: 99%

“…[12][13][14][15][16]. Reference [12] establishes a scientific and reasonable evaluation index system of distribution network adaptability and combines the analytic hierarchy process (AHP) and entropy weight method to determine the index weight. Reference [13] combines AHP and the entropy weight method to comprehensively evaluate the reliability of the power consumption of a distribution network.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Index and Evaluation Method of Three-Phase Imbalance Treatment Effect Based on Commutation

Chen

Zhou

et al. 2022

IEEE Access

View full text Add to dashboard Cite

With the construction and development of the distribution Internet of things in China, the threephase imbalance treatment in the distribution area has gradually attracted attention as an optional function, and a large number of intelligent terminal manufacturers have begun to study this aspect. In this paper, research is carried out on the three-phase imbalance treatment function based on commutation control. The evaluation index system of imbalance treatment based on commutation is proposed in combination with the imbalance harm and the influence of treatment, and the three-phase imbalance treatment effect is evaluated by combining the analytic hierarchy process and improved entropy weight method. An example is given to verify the effectiveness of the evaluation method proposed in this paper.INDEX TERMS Three-phase load imbalance, intelligent terminal, index system, analytic hierarchy process, improved entropy weight method

show abstract

Adaptability Evaluation of Distributed Power Sources Connected to Distribution Network

Cited by 14 publications

References 28 publications

Research on New Electric Power System Risk Assessment Based on Cloud Model

Research on New Electric Power System Risk Assessment Based on Cloud Model

Study on phase selection control characteristics of fast vacuum circuit breakers suitable for new power systems

Evaluation Index and Evaluation Method of Three-Phase Imbalance Treatment Effect Based on Commutation

Contact Info

Product

Resources

About