A review of post-construction monitoring practices used in the evaluation of transmission power line impacts on birds and mitigation effectiveness, with proposals for guideline improvement

Martins, Ricardo C.; Bernardino, Joana; Moreira, Francisco

doi:10.1016/j.eiar.2023.107068

Cited by 6 publications

(1 citation statement)

References 42 publications

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“…The penetration rate of new energy refers to the proportion of new energy generation to total power generation within a certain time period within a certain power grid control area, which reflects the power support capacity of new energy for the system. 21 The higher the penetration rate of new energy, the stronger the acceptance rate of grid investment projects for green power resources such as distributed energy, and the greater its contribution to the construction of a new power system with new energy as the main body. The calculation formula of new energy electricity permeability R supply is as follows:…”

Section: New Energy Electricity Penetration Ratementioning

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

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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.

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Section: New Energy Electricity Penetration Ratementioning

confidence: 99%