Systems and methods for real-time DC microgrid power analytics for mission-critical power systems
摘要
說明書
Moreover, the central analytics server 422, which is communicatively connected to one or more analytics server(s) can be used to enhance the scalability. For example, a central analytics server 422 can be used to monitor multiple electrical power generation facilities (i.e., monitored system A 402 can be a power generation facility located in city A while monitored system B 404 is a power generation facility located in city B) on an electrical power grid. In this example, the number of electrical power generation facilities that can be monitored by central analytics server 422 is limited only by the data processing capacity of the central analytics server 422. The central analytics server 422 can be configured to enable a client 128 to modify and adjust the operational parameters of any the analytics servers communicatively connected to the central analytics server 422. Furthermore, as discussed above, each of the analytics servers are configured to serve as proxies for the central analytics server 422 to enable a client 128 to modify and/or adjust the operating parameters of the sensors interfaced with the systems that they respectively monitor. For example, the client 128 can use the central analytics server 422, and vice versa, to modify and/or adjust the operating parameters of analytics server A 414 and utilize the same to modify and/or adjust the operating parameters of the sensors interfaced with monitored system A 402. Additionally, each of the analytics servers can be configured to allow a client 128 to modify the virtual system model through a virtual system model development interface using well-known modeling tools.
