Evaluation Index System of Power Grid Corporation's Operation Benefits Based on Future Low-Carbon Energy Framework

Liu, Tianbin; Jin, Weigang; Xiang, Zhaoyang; Chen, Hongkun

doi:10.1109/acpee51499.2021.9437008

Cited by 2 publications

(1 citation statement)

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“…DC power flow modelling is coupled with steadystate gas network energy and transportation cost optimization to assess gas-electricity price interactions. Ref (Liu et al, 2021) proposes a feasible and comprehensive evaluation index system of operation benefits. an index-based evaluation criterion is established to evaluate the operation benefits on reliability level, intelligence level, power marketization level, economic benefits, environmental benefits, and social benefits.…”

Section: Introductionmentioning

confidence: 99%

A low-carbon evaluation framework for regional power systems

Ye,

Zhang,

Huang

et al. 2024

Front. Energy Res.

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With the escalating challenges of climate change and the imperative for carbon neutrality, evaluating the carbon footprint of regional power systems becomes crucial. To address this issue, a low-carbon evaluation framework for regional power systems is developed. First, this study identifies the fundamental requirements that the index system for the low-carbon power system should follow and specifies the general direction for the index system’s creation. Second, an evaluation model for carbon reduction ability is proposed by considering generation side, grid side and load side of the power system. Then, a comparative evaluation model for the carbon reduction capability of multi-regional power systems is proposed to spatiotemporally compare the carbon reduction capability of different power systems. Next, a quantification method for the weights of low-carbon evaluation indicators is established based on the power system simulation of multi-scenario scheduling and index sensitivity analysis method. Finally, a low-carbon comprehensive score for regional power systems is created by combining the evaluation results of the system’s carbon reduction capacity with index weights. The practical research results in a region of Zhejiang province in China demonstrate that the proposed model can provide a reasonable and feasible evaluation plan for the low-carbon construction of regional power systems.

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Section: Introductionmentioning

confidence: 99%