A Probabilistic Model for Minimization of Solar Energy Operation Costs as Well as CO2 Emissions in a Multi-Carrier Microgrid (MCMG)

Energies

Seyed Masoud Moghaddas Tafreshi¹  Mohd Hasan Ali²  Abbas Z. Kouzani³  Hassan Ranjbarzadeh³  Suiyang Khoo³ 

[1] Electrical Engineering Department, University of Guilan, Rasht P.O. Box 1841, Iran;Electrical and Computer Engineering Department, University of Memphis, Memphis, TN 38152, USA;School of Engineering, Deakin University, Geelong, VIC 3216, Australia;

关键词: residential energy hub;    responsive equipment;    multi-objective optimization;    point estimate method;    EHP;    weighted sum technique;   

DOI  :  10.3390/en15093088

来源: DOAJ

【 摘 要 】

This paper proposes a probabilistic model with the aim to reduce the solar energy operation cost and CO₂ 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 CO₂ 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.

【 授权许可】

Unknown