A Multi-Objective Optimization Approach of Smart Autonomous Electrical Grid with Active Consumers and Hydrogen Storage System
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.
© 2022 Ngakan Ketut Acwin Dwijendra, Muhaned Zaidi, I Gusti Ngurah Kerta Arsana, Samar Emad Izzat, Abduladheem Turki Jalil, Ming-Hung Lin, Untung Rahardja, Iskandar Muda, A. Heri Iswanto, Surendar Aravindhan, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.