A Risk Assessment Framework of Hybrid Offshore Wind–Solar PV Power Plants under a Probabilistic Linguistic Environment

Abstract

Hybrid offshore wind–solar PV power plants have attracted much attention in recent years due to its advantages of saving land resources, high energy efficiency, high power generation efficiency, and stable power output. However, due to the project still being in its infancy, investors will face a series of risks. Hence, a multi-criteria group decision-making framework for hybrid offshore wind–solar PV power plants risk assessment is constructed in this paper. Firstly, 19 risk indicators are identified and divided into five groups. Secondly, probabilistic linguistic term sets are then introduced to evaluate the criteria values to depict uncertainty and fuzziness. Thirdly, the expert weight determination model is built by combining subjective and objective weights based on expert information, the entropy and interaction-entropy measures of probabilistic linguistic term sets. Fourthly, the expert evaluation information is aggregated by transforming probabilistic linguistic term sets into triangular fuzzy numbers based on generalized weighted ordered weighted averaging operator. Additionally, the risk level is determined using the fuzzy synthetic evaluation method. Finally, the proposed method is applied to a case study and the risk level is slightly high with the similarity measure result of 0.938. Then, the risk indicator system and corresponding countermeasures can provide scientific reference for investment decisions and risk prevention.

An Effective Analysis of Risk Assessment and Mitigation Strategies of Photovoltaic Power Plants Based on Real Data: Strategies, Challenges, Perspectives, and Sustainability

“…They believed that the construction of low-and mediumvoltage solar photovoltaic plants was a feasible approach to addressing environmental degradation and climate change in a variety of places. Mao et al [9] constructed a multi-criteria group decision-making (MCGDM) approach for hybrid offshore wind-solar photovoltaic power plant risk evaluation. They took into account five groups containing 19 risk indicators.…”

A Multi-Project Evaluation of Engineering Students’ Performance for Online PBL: Taking the Sustainable Decision Analysis Course as an Example

“…Under this circumstance, synergy or antagonism among the factors can probably exist when the importance of the combination of decision attributes is measured [22]. In fact, fuzzy measures have been widely used in comprehensive education evaluation [23,24], risk assessment [25][26][27], resource allocation [28][29][30], and other scenarios to provide quantitative analysis support for solving complex problems.…”

Evolutionary game analysis of the intelligent upgrading of smart solar photovoltaic projects

“…Based on game theory, case studies and other research methods, scholars have analyzed the costs, benefits and cost-sharing between the government and users associated with PV projects to coordinate the interests of project stakeholders (Li et al, 2018;Wang et al, 2022;Shuai et al, 2019). In terms of project decision evaluation, some studies are based on a multi-criteria decision-making approach to construct decision frameworks for distributed PV project investment (Wu et al, 2018) and offshore PV project risk assessment (Mao et al, 2022) and evaluate the suitable location and technical potential of large-scale solar photovoltaic and concentrated solar power plants in conjunction with geographic information systems (Sun et al, 2020). However, differences in the interests and behaviors of the main stakeholders and changes in these factors at different stages of SPVP development have been ignored.…”

“…In terms of project decision evaluation, some studies are based on a multi-criteria decision-making approach to construct decision frameworks for distributed PV project investment (Wu et al. , 2018) and offshore PV project risk assessment (Mao et al. , 2022) and evaluate the suitable location and technical potential of large-scale solar photovoltaic and concentrated solar power plants in conjunction with geographic information systems (Sun et al.…”