Optimal Scheduling of a Hydrogen-Based Energy Hub Considering a Stochastic Multi-Attribute Decision-Making Approach

نویسندگان

چکیده

Nowadays, the integration of multi-energy carriers is one most critical matters in smart energy systems with aim meeting sustainable development indicators. Hydrogen referred to as main future industry, but its into system faces different open challenges which have not yet been comprehensively studied. In this paper, a novel day-ahead scheduling presented reach optimal operation hydrogen-based hub, based on stochastic multi-attribute decision-making approach. way, hub model first developed by providing detailed Power-to-Hydrogen (P2H) facilities. Then, new multi-objective problem given considering prosumer’s role proposed well integrated demand response program (IDRP). The introduces comprehensive approach from analysis historical data final minimizing cost and carbon emission. Moreover, deal uncertainty, scenario-based method applied renewable resources fluctuation. defined mixed-integer non-linear programming (MINLP), solve problem, simple augmented e-constrained (SAUGMECON) employed. Finally, simulation performed case study obtained results show effectiveness benefits scheme.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Introducing a New Approach for Prioritizing Combating Desertification Strategies Based on Multi- Attribute Decision Making

Addressing desertification, due to its multi-criteria nature, increasing development, extensive and long-term impacts on natural resources and human populations, is necessary to achieve sustainable development. Therefore, for optimal utilization of facilities and limited funds allocated to this issue, evaluation of current strategies, based on different criteria is essential to avoid wasting na...

متن کامل

Assessment of distance-based multi-attribute group decision-making methods from a maintenance strategy perspective

Maintenance has been acknowledged by industrial management as a significant influencing factor of plant performance. Effective plant maintenance can be realized by developing a proper maintenance strategy. However, selecting an appropriate maintenance strategy is difficult because maintenance is a non-repetitive task such as production activity. Maintenance also does not leave a consistent trac...

متن کامل

Evaluation of recommender systems: A multi-criteria decision making approach

The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...

متن کامل

A Hybrid Multi-attribute Group Decision Making Method Based on Grey Linguistic 2-tuple

Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...

متن کامل

An Evolutionary Algorithm Based on a Hybrid Multi-Attribute Decision Making Method for the Multi-Mode Multi-Skilled Resource-constrained Project Scheduling Problem

This paper addresses the multi-mode multi-skilled resource-constrained project scheduling problem. Activities of real world projects often require more than one skill to be accomplished. Besides, in many real-world situations, the resources are multi-skilled workforces. In presence of multi-skilled resources, it is required to determine the combination of workforces assigned to each activity. H...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Energies

سال: 2023

ISSN: ['1996-1073']

DOI: https://doi.org/10.3390/en16020631