A goal programming model for grid-connected hybrid energy system operations


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AKTAŞ A., KABAK M.

SN APPLIED SCIENCES, vol.2, no.1, 2020 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 2 Issue: 1
  • Publication Date: 2020
  • Doi Number: 10.1007/s42452-019-1878-1
  • Journal Name: SN APPLIED SCIENCES
  • Journal Indexes: Emerging Sources Citation Index, Scopus, INSPEC
  • Keywords: Hybrid energy system, Goal programming, Renewable energy, Sustainability, Linear programming, Multi-objective optimization

Abstract

Hybrid energy systems are considered as a potential solution for sustainable energy supply for small and medium scaled energy networks. This kind of energy systems consist of different type of conventional and renewable resources and classified into two groups, stand-alone and grid-connected systems. To see benefits of hybrid energy systems, making operational decisions analytically is extremely important. The main aim of this study is to determine operational decisions of a hybrid energy system by considering profit obtained by system operations and renewable energy utilization ratio in load demand satisfaction. To solve the mathematical model of this multi-objective optimization problem, a goal programming model is proposed in this study. A numerical example for a small town with 10 demand points and 4 energy generation plants is presented to demonstrate the applicability of the proposed model. Electricity demand in the small town is satisfied by energy generation plants and grid-connection. Obtained results show that the proposed model can be used by investors to analyze profitability of the system and renewable energy utilization ratio in the region.