An alert presentation apparatus (EMS (200)) acquires the amounts of power consumed by loads connected to a system, and on the basis of the acquired power amounts, presents a load list including the power consumption of each load. This alert presentation apparatus (EMS (200)) presents the load list so as to reduce the frequency at which the loads that are on the load list change.

The preset invention is directed to a building energy management system and method, more specifically to a building energy management system and method that can quickly detect and control an abnormal situation or an emergency situation that may occur within a building.

Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.

A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of voltage measurement using paired comparison analysis applied to calculating a shift in average usage per customer from one time period to another time period for a given electrical use population where the pairing process is optimized using a novel technique to improve the accuracy of the measurement.

Described is an apparatus which comprises: an antenna to sense or receive energy from an external source; a harvesting module to harvest power according to the sensed or received energy; a decoder coupled to the harvesting module, the decoder to decode the sensed or received energy and to generate one or more commands; and one or more switches operable to turn on or off according to the one or more commands.

Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

The present invention belongs to electric power engineering field, and provides a symmetric method for obtaining line-transferred linear active power flows in Multi-Terminal Direct Current (MTDC) power networks, which comprises: firstly establishing a system of symmetric linear indeterminate equations of buses' injection active powers in terms of buses' voltage offsets; then establishing a symmetric linear matrix equation of buses' voltage offsets in terms of buses' injection active powers and obtaining each bus' voltage offset and bus' voltage of the MTDC power network according to the system of symmetric linear indeterminate equations; finally establishing a symmetric linear relationship that expresses a line-transferred linear active power flow in terms of buses' injection active powers and obtaining each line-transferred linear active power flow of the MTDC power network according to the symmetric linear matrix equation of buses' voltage offsets in terms of buses' injection active powers, known line-transferred non-linear active power flow and inherent operation features of the MTDC power network. The method of the present invention reliably produces accurate results, and not only fast enough for real-time operation regulation of arbitrarily completed MTDC power networks but also applicable for widely varying operation states of them.

A server comprises a notification unit that sends a power reduction request to a user terminal of a consumer; and a controller that acquires smart meter information sent from the user terminal when the consumer accepts the power reduction request. The smart meter information is information regarding a smart meter of a consumer facility that is a target for power reduction. The controller determines actual reduced power of the consumer facility based on the smart meter information.

A utility employs a method for generating available operating reserve. Electric power consumption by at least one device serviced by the utility is determined during at least one period of time to produce power consumption data, stored in a repository. A determination is made that a control event is to occur during which power is to be reduced to one or more devices. Prior to the control event and under an assumption that it is not to occur, power consumption behavior expected of the device(s) is generated for a time period during which the control event is expected to occur based on the stored power consumption data. Additionally, prior to the control event, projected energy savings resulting from the control event, and associated with a power supply value (PSV) are determined based on the devices' power consumption behavior. An amount of available operating reserve is determined based on the projected energy savings.

A method for controlling a power supply includes: acquiring working state information of the power supply in a current operation; determining whether a state value of the power supply in the current operation satisfies a preset condition according to the working state information; setting a first control strategy for controlling the current operation of the power supply as a second control strategy when the preset condition is satisfied; storing the state value in the current operation and the first control strategy of the power supply in the current operation when the preset condition is not satisfied, and modifying the first control strategy to obtain the second control strategy according to an adjustment strategy; and loading the second control strategy from the machine-learning control circuitry in next operation, and controlling the next operation of the power supply according to the second control strategy.