Coordination Strategy for Optimal Scheduling of Multiple Microgrids Based on Hierarchical System

• Published in: Energies (Basel) Vol. 10; no. 9; p. 1336
• Main Authors: Lee, Won-Poong, Choi, Jin-Young, Won, Dong-Jun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2017
• Subjects: Algorithms; Community; coordination strategy; Cost function; Distributed generation; distributed optimization; Electric power grids; Energy management systems; Energy storage; hierarchical system; Mathematical models; multi-microgrid; Optimization; Schedules; Scheduling; Strategy
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en10091336

Research on the operation of the multiple microgrid (MMG) has been increasing as the power system is operated through the microgrid. Some of the studies related to MMG have introduced various operation strategies by introducing concepts such as power sharing and power trading for power exchange between microgrids. In this paper, a strategy for obtaining optimal scheduling of MMG systems with power sharing through coordination among microgrids that have no cost function of generation units is proposed. There are microgrid-energy management systems (MG-EMSs) in the lower level that determine individual schedules for each microgrid in a hierarchical system. In the upper level, the microgrid of microgrids center (MoMC) implements the coordination among microgrids. In order to achieve the optimal operation of the entire system, MoMC calculates the amount of power sharing based on a predetermined limit value and allocates the command for coordination to each MG-EMS. MG-EMS changes the individual schedule based on the command. These processes are repeatedly performed, and when the change of the total cost becomes smaller than a specified size, the process is terminated and the schedule is determined. The advantages of the proposed algorithm are as follows. (1) It is a power sharing strategy of multiple microgrids considering multiple feeder structures as well as a single feeder structure for minimizing the operation cost of the entire system; (2) it is a power sharing strategy between microgrids that can be applied in a microgrid where only units that do not have a cost function exist; (3) since it is the optimization of the distributed form, the computation time decreases sharply compared with the one performed at the central center. The verification of the proposed algorithm was performed through MATLAB.