Optimal Technical and Economical Operation of Microgrids through the Implementation of Sequential Quadratic Programming Algorithm

TL;DR

This paper presents an optimization approach for microgrid operation using Sequential Quadratic Programming, incorporating demand response to improve costs, reliability, and voltage stability over a 24-hour period.

Contribution

It introduces a novel application of SQP for microgrid optimization that includes demand response, enhancing operational efficiency and reliability.

Findings

Demand response reduces operation costs.

Voltage deviations and losses are decreased with DR.

Reliability of microgrid operation is improved.

Abstract

In this paper, the optimal operation of a microgrid is investigated when the network is connected at a 24-hour interval for a specific day. For the optimal operation, some criteria, such as the simultaneous reduction in operation costs, losses, and voltage deviations, as well as the increase in reliability are taken into consideration. Given the capacity of the installed units, a part of the load of the demanded energy is always supplied by the grid. In line with the objectives set, planning for the charge and discharge of storage systems as well as the interaction among distributed power generators are investigated. The operation process is considered as an optimization problem, and the created problem is solved by the Sequential Quadratic Programming (SQP) algorithm. In addition, by implementing the Demand Response (DR) program in the optimal operation, the acquired results are compared with those obtained when this strategy is not employed. Simulation results indicate that the utilization of the Demand Response (DR) program in the optimal operation of the microgrid leads to a number of improvements. To elucidate it more, in addition to the decrease in the operation costs of the microgrid, the voltage deviation indices, reliability, and losses are improved contrary to non-DR schemes.