OPTIMAL SCHEDULING OF MULTI VECTOR ENERGY NETWORKS CONSIDERING RESILIENCY IMPROVEMENT

Articles in Press

Document Type : Original Article

Authors

1 Faculty of Electrical and Computer Engineering, Electrical Power Engineering at Babol Noshirvani University of Technology / Iran.

2 Power Electronics Babol Noshirvani University of Technology

3 Faculty of Electrical Engineering, Islamic Azad University,Branch of Lahijan, Iran.

Abstract

This study is to investigate the effects of managing a Mobile Energy Storage System's (MESS) charging and discharging within a Multi Vector Energy Network (MVEN) to improve resilience, self-adequacy, load restoration capabilities, and cost-efficiency. It integrates renewable sources like photovoltaics and wind, with energy demands met via the grid, CHP systems, and renewables. The electrical and gas networks primarily meet electrical and heating demands, with gas fueling CHP and boiler units. The model also features gas and heat storage to balance demands and uses a probability distribution function to account for uncertain parameters such as renewable outputs and loads. It tests the system's robustness against power disruptions from natural disasters, examining four case studies and three electric vehicle (EV) charging main scenarios, including a Demand Response Program (DRP). Results indicate significant cost savings from coordinated EV strategies and additional consumer benefits from demand response. The system's resilience, showcased by its ability to sustain loads during outages, highlights EVs' key role in maintaining critical power supply.

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International Journal of Engineering

Articles in Press, Accepted Manuscript
Available Online from 09 March 2024

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