Open AccessOptimal investment and operation of a microgrid to provide electricity and heat
Author(s) -
Angarita Jorge L,
Jafari Hossein,
Mohseni Mojtaba,
AlSumaiti Ameena Saad,
HeydarianForushani Ehsan,
Kumar Rajesh
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12190
Subject(s) - microgrid , mathematical optimization , linear programming , investment (military) , stochastic programming , computer science , electricity generation , electricity , operating cost , energy storage , integer programming , power (physics) , reliability engineering , engineering , renewable energy , mathematics , electrical engineering , waste management , quantum mechanics , politics , political science , law , physics
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.