A Multi-Objective Optimization Approach of Smart Autonomous Electrical Grid with Active Consumers and Hydrogen Storage System-Reference-Cited by-同舟云学术

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

Published:2022-01-01 Issue:1 Volume:26 Page:1067-1079
ISSN:2255-8837
Container-title:Environmental and Climate Technologies
language:en
Short-container-title:

Author:

Dwijendra Ngakan Ketut Acwin¹,Zaidi Muhaned²,Arsana I Gusti Ngurah Kerta¹,Emad Izzat Samar³,Turki Jalil Abduladheem⁴,Lin Ming-Hung⁵,Rahardja Untung⁶,Muda Iskandar⁷,Iswanto A. Heri⁸,Aravindhan Surendar⁹

Affiliation:

1. Faculty of Engineering , Udayana University , Bali , Indonesia

2. Al-Manara College for Medical Sciences , Maysan , Iraq

3. Al-Nisour University College , Baghdad , Iraq

4. Medical Laboratories Techniques Department , Al-Mustaqbal University College , Babylon, Hilla , Iraq

5. Department of Electrical Engineering , Cheng Shiu University , Kaohsiung , Taiwan

6. University of Raharja , Faculty of Science and Technology , Kota Tangerang, Banten , Indonesia

7. Department of Doctoral Program, Faculty Economic and Business , Universitas Sumatera Utara , Medan , Indonesia

8. Public Health Department, Faculty of Health Science , University of Pembangunan Nasional Veteran Jakarta , Jakarta , Indonesia

9. Department of Pharmacology , Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences , Chennai , India

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

General Environmental Science,Renewable Energy, Sustainability and the Environment

Link

https://www.sciendo.com/pdf/10.2478/rtuect-2022-0080

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