<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.</p>
</abstract>

The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.

Optimal Energy Management in a Smart Micro Grid with Demand Side Participation

Department of Architecture, Faculty of Engineering

Department of Doctoral Program, Faculty Economic and Business

Environmental and Climate Technologies

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Optimal Energy Management in a Smart Micro Grid with Demand Side Participation"}

The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission...

Optimal Energy Management in a Smart Micro Grid with Demand Side Participation

Pubblicato online: 12 mag 2022

Pagine: 228 - 239

DOI: https://doi.org/10.2478/rtuect-2022-0018

Parole chiave
Energy management, max-min fuzzy procedure, multi-criteria optimization, optimal participation of demand side, weight sum method (WSM)

© 2022 Cheng-Jui Tseng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Optimal Energy Management in a Smart Micro Grid with Demand Side Participation

Pubblicato online: 12 mag 2022

Pagine: 228 - 239

DOI: https://doi.org/10.2478/rtuect-2022-0018

Parole chiaveEnergy management, max-min fuzzy procedure, multi-criteria optimization, optimal participation of demand side, weight sum method (WSM)

© 2022 Cheng-Jui Tseng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Energy management, max-min fuzzy procedure, multi-criteria optimization, optimal participation of demand side, weight sum method (WSM)