A multi-criteria decision-making framework for compressed air energy storage power site selection based on the probabilistic language term sets and regret theory

Gao, Jianwei; Men, Huijuan; Guo, Fengjia; Liu, Huihui; Li, Xiangzhen; Huang, Xin

doi:10.1016/j.est.2021.102473

Cited by 25 publications

(6 citation statements)

References 40 publications

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“…In the study of weighting methods, there are methods such as the analysis hierarchical process (Gao et al, 2021), analytic network process (Xiao et al, 2004), Delphi method (Zeng et al, 2016), principal component analysis (Liu et al, 2015), entropy weight method (Kao and van Roy, 2014), antientropy weight method (Liu et al, 2019), gray relational analysis (Xiang et al, 2019), coefficient of variation method (Zhang et al, 2018), and the combination methods of the aforementioned methods for weighting (Zhu and Zhang, 2019). In the analysis hierarchical process (AHP), the indexes are independent of each other, which is not applicable for assigning weight investment decisions with interactions in a complex grid.…”

Section: Literature Reviewmentioning

confidence: 99%

A complex grid investment decision method considering source-grid-load-storage integration

2023

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With the widespread use of renewable energy worldwide, the impact of its randomness and volatility on the grid is increasing. To promote the consumption of renewable energy, the traditional grid is being transformed into a complex grid with integrated source–grid–load–storage. Since the complex grid has the characteristics of source–grid–load–storage interaction, the traditional grid investment decision method will no longer be applicable. First, this study proposes the unilateral indexes of source, grid, load, and storage in complex grids and the interactive indexes considering grid–source interaction, load–grid interaction, source–load interaction, source–storage interaction, load–storage interaction, and grid–storage interaction are proposed to establish the investment decision system. Then, a hesitance fuzzy linguistic term set combined with regret theory is used to calculate the specific values of the subjectivity index, taking into full consideration the regret avoidance and loss avoidance psychology of investors. In order to comprehensively consider the index preference of investors and the objectivity of weight assignment, a combined weighting method based on the analytic network process (ANP) and entropy weight method (EWM) is obtained according to the game theory method. Finally, using a grid in a region of southwest China as an example, the results demonstrate that the construction order obtained in this study can prioritize the projects with the largest comprehensive benefits while considering the subjective preferences of decision-makers and the objectivity of the indexes.

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Section: Literature Reviewmentioning

confidence: 99%

A complex grid investment decision method considering source-grid-load-storage integration

2023

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“…C. N. Wang et al applied in [11] a hybrid Fuzzy AHP (FAHP) and TOPSIS to select wind power plant from seven different locations in Vietnam. J. Gao et al [12] presented an MCDA technique for site selection of CAES project based on probabilistic language term sets (PLTSs) and regret theory, applied entropy weight method to weight the criteria and concluded in a case study in China that Yungang Mine of Datong Coal Mine Group is the best CAES project site location.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

et al. 2023

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This paper used some Muti-Criteria Decision Analysis (MCDA) techniques to select the best alternative renewable energy sources in Msallata city, south east of Tripoli, Libya. They were based on the commitment from the ministry of Energy in the Libyan government to lower their carbon footprint. The renewable energy sources considered here are solar, wind, and biomass. MCDA is widely used to solve various decision problems through alternative evaluation. MCDA methods are currently applied in every field and can define any problem, alternatives, and criteria. However, every MCDA technique can give different results. In this paper, four MCDA methods have been tested and evaluated based on the renewable energy sector to find the best alternative. The results suggest that a combination of wind and solar is the most important energy source; solar plants alone are the second most important energy source. The least important energy source in this model is biomass alone. This work is validated using HOMER Pro Software. Many MCDA techniques are applied these days in almost all disciplines, but they may have different results. This work proved that the best MCDA for dealing with renewables in our case is either The COmplex PRoportional ASsessment (COPRAS) or VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). COPRAS is a MCDA technique that is developed by Zavadskas, Kaklauskas, and Sarka in 1994, it is applied to maximiza and minimize index values. VIKOR is an abbreviation of a Serbian term that means Multicriteria Optimization and Compromise Solution, it ranks and selects from various alternatives with conflicting criteria.

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“…The optimization of energy source selection against various criteria could help managers make decisions about their energy consumption, supply, and production [1]. In this regard, multi-criteria group decision-making (MCGDM) methods have been observed as one of the most suitable applications to real world problems [2]. The best energy source selection can be described as a MCGDM problem, where multi-criteria decision analysis can evaluate a set of energy sources according to their relative criteria priorities [3].…”

Section: Literature Overviewmentioning

confidence: 99%

Solving a Multiple User Energy Source Selection Problem Using a Fuzzy Multi-Criteria Group Decision-Making Approach

et al. 2021

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In recent years, the evaluation of several energy sources is an extremely significant issue that affects socio-environmental development and techno-economic growth in different sectors. To tackle this concern, many researchers have concentrated on preferring desirable energy sources and adopting multi-criteria group decision-making (MCGDM) approaches for only a single type of user (e.g., agricultural, industrial, tourism, or domestic users). However, every energy user plays an important role in shaping energy policy. In fact, for sustainable energy, it is important to include all main energy users at the same time in energy decision-making. The main objective of this work was to propose a fuzzy MCGDM approach to evaluate and prioritize energy sources in Tunisia from various sectors’ point of views. Many criteria are combined, including the following: technical, economic, social, political and environmental. After applying the fuzzy Delphi method, the proposed approach consists of applying a fuzzy TOPSIS method as a multi-criteria approach. Finally, a sensitivity analysis is performed to evaluate the results of the proposed approach and to study how the optimal solution is affected by the objective function coefficients.

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A multi-criteria decision-making framework for compressed air energy storage power site selection based on the probabilistic language term sets and regret theory

Cited by 25 publications

References 40 publications

A complex grid investment decision method considering source-grid-load-storage integration

A complex grid investment decision method considering source-grid-load-storage integration

Hybrid Renewable Energy Resources Selection Based on Multi Criteria Decision Methods for Optimal Performance

Solving a Multiple User Energy Source Selection Problem Using a Fuzzy Multi-Criteria Group Decision-Making Approach

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