Optimal investment and operation of a microgrid to provide electricity and heat

Jorge L. Angarita, Hossein Jafari, Mojtaba Mohseni, Ameena Saad Al-Sumaiti, Ehsan Heydarian-Forushani, Rajesh Kumar

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This paper proposes a robust investment and operation model to attend the power and heat needs of a microgrid (MG) connected to the distribution system. The optimization algorithm decides on the best investment and operation of combined heat and power (CHP), boilers, PV power generation and battery energy storage systems (BESS). For the BESS, the algorithm estimates the optimal energy storage capacity (MWh) as well as the maximum hourly delivery capacity (MW). The non-linear and non-concave heat rate chart is recast by a mix-integer linear model to have a tractable and precise model. The model considers the uncertain in some parameters using probability density function (pdf) to portrait its behavior. Thus, the problem has been modeled using stochastic programming approach, and its objective function is the expected value of the annual operational cost. The model is tested using a real case where two adjacent consumers share the power and heat facilities to minimize the overall up to 17% depending on the gas price scenario. The results demonstrate the benefits of employing different technologies and the synergies of all technologies operating together.

Original languageBritish English
Pages (from-to)2586-2595
Number of pages10
JournalIET Renewable Power Generation
Volume15
Issue number12
DOIs
StatePublished - 7 Sep 2021

Fingerprint

Dive into the research topics of 'Optimal investment and operation of a microgrid to provide electricity and heat'. Together they form a unique fingerprint.

Cite this