A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO 2 Emissions in a Multi-Carrier Microgrid (MCMG)

Hassan Ranjbarzadeh, Seyed Masoud Moghaddas Tafreshi, Mohd Hasan Ali, Abbas Z. Kouzani and Suiyang Khoo
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Hassan Ranjbarzadeh: School of Engineering, Deakin University, Geelong, VIC 3216, Australia
Seyed Masoud Moghaddas Tafreshi: Electrical Engineering Department, University of Guilan, Rasht P.O. Box 1841, Iran
Mohd Hasan Ali: Electrical and Computer Engineering Department, University of Memphis, Memphis, TN 38152, USA
Abbas Z. Kouzani: School of Engineering, Deakin University, Geelong, VIC 3216, Australia
Suiyang Khoo: School of Engineering, Deakin University, Geelong, VIC 3216, Australia

Energies, 2022, vol. 15, issue 9, 1-24

Abstract: This paper proposes a probabilistic model with the aim to reduce the solar energy operation cost and CO 2 emissions of a multi-carrier microgrid. The MCMG in this study includes various elements such as combined heat and power (CHP), electrical heat pump (EHP), absorption chiller, solar panels, and thermal and electrical storages. A MILP model is proposed to manage the commitment of energy producers, energy storage equipment, the amount of selling/buying of energy with the upstream network, and the energy consumption of the responsible electrical loads for the day-ahead optimal operation of this microgrid. The proposed operation model is formulated as a multi-objective optimization model based on two environmental and economic objectives, using a weighted sum technique and a fuzzy satisfying approach. In this paper, the 2 m + 1-point estimate strategy has been used to model the uncertainties caused by the output power of solar panels and the upstream power supply price. In order to evaluate the performance of the proposed model, and also for minimizing cost and CO 2 emissions, the simulation was conducted on two typical cold and hot days. Numerical results show the proposed model’s performance and the effect of electrifying the heating and cooling of the microgrid through the EHP unit on greenhouse gas emissions in the scenarios considered.

Keywords: residential energy hub; responsive equipment; multi-objective optimization; point estimate method; EHP; weighted sum technique; fuzzy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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