Yansong LiNian LiuChenshuo WuJianhua Zhang
Microgrids will make fuller consumption of renewable energy by connecting with each other. On that scenario, the generation schedule is supposed to be optimized on view of the total interconnected microgrids (IMGs), which may infringe the privacy of MG. A distributed optimization method for generation scheduling of MIGs using the alternating direction method of multipliers (ADMM) is proposed in this paper, so that the MG won't need to share their own information of sources and loads and so on, but only the expected exchanging power information. The case confirms the efficiency of the distributed optimization method compared to the centralized one.
Nian LiuCheng WangMinyang ChengJie Wang
Chaorui ZhangYing–Jun Angela Zhang
Guodong LiuMichael StarkeBailu XiaoXiaohu ZhangKevin Tomsovic
Alvaro González-CastellanosAldo Bischi