Application of the Artificial Bee Colony Algorithm to Unit Commitments for Energy Storage Systems of a Microgrid with Master-Slave Control

摘要

The aim of this paper is to explore various operating situations of a microgrid based on master-slave control and the self-healing of the microgrid after fault detection, as well as to formulate a scheduling strategy for the energy storage equipment through an artificial bee colony algorithm to meet the needs of the local power grid. Many operating modes will face multiple instances of connection and disconnection operations. The disturbance generated by the DER grid connection can be effectively reduced through the regulation of the voltage, frequency, and phase angle. Moreover, when the microgrid is disconnected, its power flow will reduce the disturbance. In addition, a fault point is detected when there is a fault, and recovery and isolation actions are automatically carried out, which can reduce the area affected by the fault and enable the non-fault area to quickly restore the power supply, thereby achieving the self-healing function of the power grid. In this paper, the bee colony algorithm is applied to the scheduling strategy for the operation of the energy storage equipment. To make the energy storage equipment satisfy multiple demands, multiple assessment indicators are set up as the basis for the algorithm to assess the merits and demerits of the scheduling strategy. The experimental results show that the control of the energy storage equipment through the bee colony algorithm can satisfy the demands of the various characteristics of the microgrid, and it can reduce the peak load during critical periods and maintain the reliability of the system.