Comprehensive benefit evaluation of transmission and substation project for renewable energy connection: A case in China

Zhang, Haiwen; Jiang, Jingrui; Song, Miaohuan; Yong, Xingkai

doi:10.1016/j.egyr.2022.09.085

Cited by 13 publications

(4 citation statements)

References 32 publications

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“…Compared to Ref. [17], this paper takes into account the economic benefits of increasing the profits of renewable energy enterprises and the environmental benefits of reducing wind and solar waste in the criteria system by referring to the evaluation of the power-related side benefits of the ultra-high voltage power grids in references [18,19]. Moreover, the preliminary sub-criteria of the economic benefit criterion, social benefit criterion, and environmental benefit criterion were determined.…”

Section: Comprehensive Benefit Evaluation Index System Of Power Grid ...mentioning

confidence: 99%

“…Firstly, the extended initial matrix X' can be built according to Equations ( 13)- (15), and then the normalized matrix N can be calculated according to Equations ( 16) and (17) and is listed in Table 4. Then, the weighted matrix V can be calculated according to Equation (18) and is listed in Table 5.…”

Section: Ranking the Comprehensive Benefits Of Five Power Grid Invest...mentioning

confidence: 99%

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Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Tian¹,

Zhao²,

Guo

2023

Sustainability

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To cope with the rapid development of renewable energy, the power grid system needs to invest in and construct transmission and distribution projects. Means of evaluating the economic, social, and environmental benefits generated by power grid investment are of great significance for enterprise cost recovery and government policy formulation. In this paper, an evaluation of the comprehensive benefit of a power grid investment considering renewable energy development from the perspective of sustainability is developed through the use of a hybrid multi-criteria decision-making (MCDM) method. The entropy weight method and fuzzy best worst method (BWM) are jointly employed to weight the comprehensive benefit criteria, which include economic, social, and environmental criteria and eight sub-criteria, and the measurement of alternatives and ranking according to compromise solution (MARCOS) method is utilized to evaluate the comprehensive benefit of a power grid investment. Five power grid investment projects for connecting renewable energy generation to a power grid in Ningxia, China, are selected as a case study, and the results indicate that the power grid investment project PGIP#1 has the largest comprehensive benefit (0.7099), followed by PGIP#3 (0.6800), PGIP#2 (0.6709), PGIP#5 (0.5959), and PGIP#4 (0.5861). The sensitivity analysis shows that the comprehensive benefit of PGIP#1 is always the best, indicating the robustness of the proposed method. By employing the proposed MCDM method to assess the comprehensive benefit of power grid investment projects, this research identifies outstanding projects which can provide guidance for the management of power grid investment and promote the sustainable development of the power industry.

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Section: Comprehensive Benefit Evaluation Index System Of Power Grid ...mentioning

confidence: 99%

Section: Ranking the Comprehensive Benefits Of Five Power Grid Invest...mentioning

confidence: 99%

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Tian¹,

Zhao²,

Guo

2023

Sustainability

View full text Add to dashboard Cite

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“…In terms of evaluation methods, related scholars mainly use multi-attribute decision-making [14,15], financial analysis [16], techno-economic analysis [17], and optimization theory [18,19] to study the efficiency and effectiveness of power grid projects. Among them, multi-attribute decision-making methods can reflect the efficiency level of power grid engineering more comprehensively and thus have received attention from scholars, such as fuzzy comprehensive evaluation [20], object meta-topology [21], TOPSIS [22], ELECTRE [23], MARCOS [24], MABAC [25], AHP [26] and VIKOR [27]. Multiattribute decision-making also has disadvantages: the index system mainly focuses on the project's output, such as economic and social output.…”

Section: Introductionmentioning

confidence: 99%

Study on Comprehensive Efficiency Evaluation of Rural Power Grid under Rural Revitalization Strategy Considering Regional Differences

Zhao,

Yao,

Bai

et al. 2023

Energy Engineering

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As an essential infrastructure, the rural power grid is vital in promoting agricultural and rural carbon sequestration and improving rural energy electrification. It is necessary to carry out in-depth research on its comprehensive efficiency. Based on the requirements of "double carbon" and rural revitalization strategy for the rural Power Grid, this paper focuses on the modernization and low-carbon transformation of the rural Power Grid. It constructs an input-output index system for the investment efficiency of the rural Power Grid in China under the new situation. It uses the primary data of the rural Power Grid of 30 prefecture-level cities in China from 2019 to 2021 to evaluate the investment efficiency of the rural Power Grid in China through a three-stage DEA model. The empirical results show that: considering the regional differences, the comprehensive efficiency of the rural Power Grid in backward areas is significantly improved; that is, the three-stage DEA method can more objectively evaluate the comprehensive efficiency of the rural Power Grid. In the context of the continued promotion of the rural revitalization strategy, to improve the comprehensive efficiency of the rural Power Grid, it is necessary to improve the technical level of the rural Power Grid further and appropriately expand the scale of investment in the rural Power Grid.

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“…Subjective weight methods reflect the subjective preferences of decision-makers (Wu et al, 2023a), while objective weight methods focus on the intrinsic relationships among data. Integrated weight methods combine the two through certain mathematical methods to achieve a balance between subjectivity and objectivity (Zhang et al, 2022b). Yong et al (2022) employed a combination of Step-wise Weight Assessment Ratio Analysis (SWARA) and entropy method using Lagrange optimization, achieving effective weight optimization solutions that might provide insights for this paper.…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making

Chen,

Tian

et al. 2023

Front. Energy Res.

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The worsening of climate conditions is closely related to the large amount of carbon dioxide produced by human use of fossil fuels. Under the guidance of the goal of “carbon peaking and carbon neutrality goals”, with the deepening of the structural reform of the energy supply side, the hybrid energy system coupled with renewable energy has become an important means to solve the energy problem. This paper focuses on the comprehensive evaluation of hybrid energy systems. A complete decision support system is constructed in this study. The system primarily consists of four components: 1) Twelve evaluation criteria from economic, environmental, technological, and socio-political perspectives; 2) A decision information collecting and processing method in uncertain environment combining triangular fuzzy numbers and hesitation fuzzy language term sets; 3) A comprehensive weighting method based on Lagrange optimization theory; 4) Solution ranking based on the fuzzy VIKOR method that considers the risk preferences of decision-makers. Through a case study, it was found that the four most important criteria are investment cost, comprehensive energy efficiency, dynamic payback period and energy supply reliability with weights of 7.21%, 7.17%, 7.17%, and 7.15% respectively. A1 is the scheme with the best comprehensive benefit. The selection of solutions may vary depending on the decision-maker’s risk preference. Through the aforementioned research, the decision framework enables the evaluation of the overall performance of the system and provides decision-making references for decision-makers in selecting solutions.

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Comprehensive benefit evaluation of transmission and substation project for renewable energy connection: A case in China

Cited by 13 publications

References 32 publications

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability

Study on Comprehensive Efficiency Evaluation of Rural Power Grid under Rural Revitalization Strategy Considering Regional Differences

Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making

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