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

<p>In this paper, a multi objective optimization approach is studied for optimal energy scheduling of the smart autonomous electrical grid with participation of active consumers (ACs) and hydrogen storage system (HSS). The objective functions consist of: 1) minimizing the costs and 2) maximizing reliability. The ACs participation are modelled through demand reduction approach based on offer price to peak demand management. The proposed optimization is solved by epsilon-constraint method and LINMAP decision making strategy. The 21-node test system is employed to analyse the efficiency of the proposed approach at two case studies. The obtained results shown the high effectiveness of smart autonomous electrical grid with participation of ACs and HSS to supply the demand.</p>
</abstract>

In this paper, a multi objective optimization approach is studied for optimal energy scheduling of the smart autonomous electrical grid with participation of active consumers (ACs) and hydrogen storage system (HSS). The objective functions consist of: 1) minimizing the costs and 2) maximizing reliability. The ACs participation are modelled through demand reduction approach based on offer price to peak demand management. The proposed optimization is solved by epsilon-constraint method and LINMAP decision making strategy. The 21-node test system is employed to analyse the efficiency of the proposed approach at two case studies. The obtained results shown the high effectiveness of smart autonomous electrical grid with participation of ACs and HSS to supply the demand.

A Multi-Objective Optimization Approach of Smart Autonomous Electrical Grid with Active Consumers and Hydrogen Storage System

Medical Laboratories Techniques Department

Department of Doctoral Program, Faculty Economic and Business

Public Health Department, Faculty of Health Science

University of Pembangunan Nasional Veteran Jakarta

Environmental and Climate Technologies

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

In this paper, a multi objective optimization approach is studied for optimal energy scheduling of the smart autonomous electrical grid with participation of...

A Multi-Objective Optimization Approach of Smart Autonomous Electrical Grid with Active Consumers and Hydrogen Storage System

Online veröffentlicht: 17. Nov. 2022

Seitenbereich: 1067 - 1079

DOI: https://doi.org/10.2478/rtuect-2022-0080

Schlüsselwörter
Active consumers (ACs), hydrogen storage system (HSS), optimal scheduling, smart autonomous electrical grid

© 2022 Ngakan Ketut Acwin Dwijendra et al., published by Sciendo

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

A Multi-Objective Optimization Approach of Smart Autonomous Electrical Grid with Active Consumers and Hydrogen Storage System

Online veröffentlicht: 17. Nov. 2022

Seitenbereich: 1067 - 1079

DOI: https://doi.org/10.2478/rtuect-2022-0080

SchlüsselwörterActive consumers (ACs), hydrogen storage system (HSS), optimal scheduling, smart autonomous electrical grid

© 2022 Ngakan Ketut Acwin Dwijendra et al., published by Sciendo

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

Schlüsselwörter
Active consumers (ACs), hydrogen storage system (HSS), optimal scheduling, smart autonomous electrical grid