Closure to Discussion on “Novel Supervisory Control Method for Islanded Droop-Based AC/DC Microgrids”

The authors are grateful for the great interest and valuable comments of the discusser. In our paper [1], a supervisory control method for islanded hybrid AC/DC microgrid from the aspect of microgrid central controller (MGCC) was proposed. Our responses are numbered to match the points made in the discussion. 1) An important task of the MGCC is to obtain a reliable and economic operation under the variation in load demand and output of the renewable energy source (RES) [2]. The purpose of [1] is consistent with this task, and the proposed method can be more effective against sudden load and RES changes. However, the MGCC must handle various types of disturbances. For example, if the distributed generator (DG) or line outages occur, the problem must be re-formulated using additional operation logic, considering the change in the line impedance and the number of DGs. In short, the focus of [1] is the situation of uncertainty in loads and RESs; thus, other operation schemes are necessary for different types of disturbances. 2) In (1) and (3) of [1] , the parameter kp,i denotes the droop slope of the output active power in the AC and DC grid, respectively. To distinguish between the different droop controls of the AC and DC grids, the subscript i (bus index) is used. For i ∈ Bac, kp,i is the droop slope of the active power–frequency in the AC grid, and for i ∈ Bdc, kp,i is the droop slope of the active power–voltage in the DC grid. The bus index i is clearly denoted in (1) and (3) of [1]. 3) If the proposed method is repeated within extremely short time intervals (i.e., a few seconds), dynamic models may be required. However, from the viewpoint of centralized control, the proposed method uses the communication infrastructure, which inevitably causes the time delay and difficulty in the interval of the proposed method being sufficiently small to affect the dynamics. In addition, the inverter-interfaced DG and loads have fast convergence compared to the cycles of MGCC. Thus, the proposed method considers the static model because of its operation time frame