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

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.

Automated summary

This paper proposes a robust investment and operation model for a microgrid connected to the distribution system, optimizing the investment and operation of combined heat and power, boilers, PV power generation, and battery energy storage systems. The model, using stochastic programming, considers uncertainty in parameters and aims to minimize annual operational costs by sharing power and heat facilities among adjacent consumers, achieving potential cost savings of up to 17%. The results demonstrate the benefits of employing different technologies and the synergies of all technologies operating together.