Proposal and comprehensive analysis of gas -wind -photovoltaic-hydrogen integrated energy system considering multi -participant interest preference

How to make full use of wind and photovoltaic (PV) power to reduce the dependence on power grid for integrated energy system (IES) is a key problem to be studied. Besides, it is critical to analyze and evaluate the comprehensive performance of such systems. However, existing research does not consider the participants involved, and not retain inherent uncertainty in evaluation process. To bridge these issues, this study develops a gas-wind-PV-hydrogen IES, in which the power generated by wind turbines and PV is fully utilized without access to the power grid, to minimize the dependence. Then, a model based on multi-criteria decision-making approach with dual uncertainty and considers multi-participant interest preference is constructed to analyze the comprehensive performance of typical schemes. The model discusses the performance of the system from the aspects of energy utilization, environment, economy, technology, and society. It is noteworthy that the dual uncertainty of the qualitative information is retained through hesitant fuzzy linguistic term sets and cloud model. The analysis results indicate that carbon dioxide emission reduction is a vital indicator of environmental performance. Furthermore, with the introduction of hydrogen energy storage, the energy comprehensive utilization rate in all schemes is over 49%, and the best scheme even reaches 57%. Ranking results show that the scheme integrate wind power system has the best performance. Finally, scenario analysis proves the necessity of considering the multi-participant interest preference. It also reflects that government supports the layout of PV, and the scheme combined with PV has great social performance. This paper provides insights for the IES to optimize renewable energy, and gives a practical model to analyze the comprehensive performance of the system.