New optimum multi-generation system configuration for cooling, heating, power, natural gas and hydrogen production

Mehrabian, Mohammad Javad; Babaelahi, Mojtaba; Manesh, Mohammad Hasan Khoshgoftar

doi:10.1504/ijex.2022.126829

IJEX

2022

DOI: 10.1504/ijex.2022.126829

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New optimum multi-generation system configuration for cooling, heating, power, natural gas and hydrogen production

Mohammad Javad Mehrabian

Mojtaba Babaelahi

Mohammad Hasan Khoshgoftar Manesh

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Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method

Zhang,

Zhao,

Chen

et al. 2024

Discov Appl Sci

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The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent. Graphical Abstract

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Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method

Zhang,

Zhao,

Chen

et al. 2024

Discov Appl Sci

View full text Add to dashboard Cite

show abstract

Multi-objective optimization and 4E analysis of a novel stand-alone LNG production system by employing the machine-learning approach

Mousavitabar,

Khoshgoftar Manesh

2024

Fuel

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4E, risk, diagnosis, and availability evaluation for optimal design of a novel biomass-solar-wind driven polygeneration system

Mehrabian,

Khoshgoftar Manesh

2023

Renewable Energy

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New optimum multi-generation system configuration for cooling, heating, power, natural gas and hydrogen production

Cited by 4 publications

References 0 publications

Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method

Study on controllability assessment of a new type of power system based on lagrangian function integrated assessment method

Multi-objective optimization and 4E analysis of a novel stand-alone LNG production system by employing the machine-learning approach

4E, risk, diagnosis, and availability evaluation for optimal design of a novel biomass-solar-wind driven polygeneration system

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