The present application relates to a protection and control system for an intelligent substation based on an industrial Internet architecture. The intelligent substation changes a decentralized modeling manner of firstly adding physical apparatuses and then adding functions of the apparatuses in a traditional substation, but adopts a centralized modeling manner of adding all of protection, measurement and control, exchange and telecontrol functions in substation configuration descriptions by taking the whole substation as a modeling object. The intelligent substation changes an operating mode of accessing merging unit and intelligent terminal integrated devices to different physical apparatuses to realize measurement and control and various protections respectively in the traditional substation, while the intelligent power server collects process level data in real time through an embedded high-bandwidth switched communication network and performs real-time data processing on the collected process level data, thereby realizing all the protection and measurement and control over primary devices.

A circuit breaker includes a control circuit capable of generating and transmitting a test pulse through its attached circuit and any connected load while its contacts are open, with the breaker in the OFF, or TRIPPED, state, to determine if detrimental anomalies exist, such as a short circuit. In certain configurations, the control circuit can measure and store a circuit's parameters for a properly operating load when the breaker is in the OFF state, and subsequently with the breaker in the OFF, or TRIPPED, state, compare the stored parameters to determine if an alarm condition exists and thereby initiate appropriate alerts and actions. In an alternate configuration, the breaker can be commanded to the OFF position by the load sending a signal through the power connection, with the breaker then being able to store the load's reason for shut-down and report such information to a remote location.

An IEC 61850 Network Control Center (NCC) server is provided at a gateway intelligent electronic device (IED) of a Substation Automation (SA) system. The NCC server serves, via the MMS/TCP/IP part of IEC 61850, process data from substation Intelligent Electronic Devices IEDs to a NCC. The NCC server uses functional names for gateway Logical Nodes (LN) corresponding to substation LNs. The functional names are devoid of any reference to a substation IED related name of the substation LNs, but can be automatically translated to substation IED related names in case of changing SA communication and substation IED architecture. Thereby, functional names as defined by the substation section within a SCD file of the SA system are used for the communication link between the gateway IED and the NCC.

Systems and methods for network failover in digital substations are provided. One method includes receiving, by an intelligent electronic device (IED) from a process interface unit (PIU), in parallel a pre-configured data stream via a point-to point connection and one or more other data streams via an Ethernet network. The method further includes determining that at least one of the following failure conditions is satisfied: a frame in the pre-configured data stream is lost or delayed, quality of the data in the frame in the data stream is below a first threshold, period of the time associated with the data in the frame in the data stream is below a second threshold, or a health indicator associated with the PIU is below a third threshold. The method further allows identifying at least one redundant frame in the one or more other data streams. If the quality of data in redundant frame is satisfactory, the method proceeds to use the redundant frame for further processing.

A hierarchical power control system associated with a cloud server includes a first microgrid cell, a second microgrid cell, a third microgrid cell, a middleware server, and an integrated control system. The first microgrid cell includes a first energy storage system (ESS) having an uninterruptible power supply (UPS) structure and a first load having a power state managed by the first energy storage system (ESS). The second microgrid cell includes a second load and a second energy storage system (ESS) for managing a power state of the second load. The third microgrid cell includes a third load. The middleware server communicates with the first to third microgrid cells. The integrated control system receives power supply-demand state information of the first to third microgrid cells through the middleware server, and establishes an integrated operation schedule based on the received power supply-demand state information of the first to third microgrid cells.

This disclosure relates to systems and methods for configuration-less process bus. In one embodiment, the system includes at least one process interface unit (PIU). The PIU includes at least one pre-configured communication port defined by one of a factory setting or a product code order. The at least one PIU is operable to transmit and receive a data stream. The data stream includes at least one dataset. The dataset includes at least one field for sampled values measured at least at one source. The source includes one of a current transformer or a voltage transformer. The dataset can further include a timestamp and a unique identifier associated with the source. The system can include at least one intelligent electronic device (IED) communicatively coupled to the PIU. The IED can be operable to receive the data stream from the PIU and transform the sampled values based on user-defined transformation factors.

Disclosed herein is a system for time aligning electric power system measurements at an intelligent electronic device (IED) from signals from merging units where the merging unit does not require a common or external time source. Communications from merging units may arrive at different times due to differences in communication latency or other factor. The IED may associate digital samples from merging units with a local time domain of the IED based on the data acquisition, data processing, and data communication latency in communicating with the merging units.

A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.